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  • Offer Profile
  • QTEC designs and manufactures industrial smart cameras and machine vision solutions. Our solutions are tailored to fit each clients’ specific needs based on our experience from various industries.

    We have built a portfolio of modular smart camera platforms with CPU, GPU, FPGA. Our cameras has an increasing range of fitting sensor heads with CCD, CMOS, Scientific CMOS, thermal microbolometer and hyperspectral solutions, etc.

    With thousands of smart cameras installed in industrial installations worldwide, we understand the requirements in terms of quality and reliability to keep factories running 24/7. Nevertheless, we do acknowledge that nothing lasts forever, especially in harsh industrial environments. Consequently, we realise the importance of deliverability and accessibility of spare parts – even several years after release. This is also taken into consideration when selecting parts and developing new designs. Hence, when our clients’ system parts become obsolete, we are frequently performing seamless swaps for new advanced parts.
Product Portfolio
  • Industrial Machine Vision

  • Vision Systems for Multiple Applications & Industries

    Industrial machine vision is applied to a wide range of end-use applications. Qtechnology’s portfolio of modular industrial cameras is applied in vision solutions within different industries – including Food & Beverages; Manufacturing; Medical & Scientific Research; and Sports & Entertainment.

    Within these industries, the vision technology is exploited in a broad range of possible applications – including object categorisation; measurement (height, width, depth, and mass); sorting & grading; visual inspection; guidance & navigation; mechanical diagnostics; and more.

    Industrial Machine Vision Applications

    Below are some examples of industrial applications in which Qtechnology’s industrial cameras are used:
    • Sorting & Grading: High throughput machines for product sorting in several classes, based on quality and size.
    • Quality Control & Visual Inspection: High-speed checkpoints for visual quality control, product leak detection and flow control.
    • 3D Measuring: Agricultural product 3D profiling used for product mixing and product stock awareness.
    • Product Mixing: Part counting and mixing for bagging of individual or mixed products.
    • Particle Analysis: Analysing micrometre particle inflow to measure the particle count and sizes, to determine the amount of contamination of the production process.
    • Product Safety: Bacteria detection and clarification.

    Vision & Quality Control

    Rising requirements to quality are a constant challenge for vision system and machine manufactures.
    • Quality and Quantity: It is important to ensure uniform quality and high speed in the process lines of more and more different products.
    • Agricultural Products: Quality can vary from the visual impression to shape and ripeness of products. In this regard, we make vision systems comply with products in all kinds of sizes and shapes.
    • Quality-Control Applications: Depending on the product running a machine or production line, the effectiveness in switching between products and/or quality parameters can be an important parameter.
      • Machine Throughput & Transfer Time

      • Why are embedded industrial cameras smart for inspection, automation and optical sorting?
        In high throughput machinery and production lines, where several images of products are needed to classify size, quality, etc., an industrial camera with a high frame count and instant image processing is an essential requirement. This keeps the throughput up and the footprint of the machine down.

        The time spent in sending data around in a machine starts to matter because the product will move quite far and must be tracked until a decision is made, regarding what needs to happen to the product.

        For instance, imagine products moving with 0.3m/s, 40 (8Mpx) images are taken of the product as it rotates over a distance of 1m FOV (field of view) to get images of the entire surface of it.

        Using Gigabit Ethernet (approx. 100Mbyte/s) the maximum fps would be approx. 12.5 fps (100Mbyte/ 8Mbyte), before the product leaves the camera view. To obtain the required 40 images, the machine would, therefore, need to be slowed down to less than 0.1m/s

        Another issue with latency due to transfer time is that the product will need to be tracked over longer distances, which is especially difficult when products need to be separated in several steps after each other.

        Thus, for the case of the Newtec Celox-P-UHD potato grading machine, using 3 of Qtechnology’s industrial cameras to grade potatoes. Simultaneously, at a throughput of up to 30 tons/hour, 13 categories of products can be sorted out.
    • Food Grading

    • Customised Vision Applications

      For automated food grading, one of the key drivers of innovation is the fourth industrial revolution, industry 4.0, and the advancement of smart factories.

      With an increased focus on improving productivity within the industry, image-based technologies play an important role in improving product quality, production efficiency, food product safety, and freeing up human resources for meaningful work.

      With safety and reliability at the centre of attention, we have developed a range of computer vision solutions for the food and beverage industry that provide affordable, high-quality results. When designing a vision solution, we also take the conditions of the production environment into account. These conditions include temperature, humidity, and exposure to various kinds of substances. Our camera units are often used in factory automation projects for 24-7-365 production lines, that are dependent on reliable products and support.
        • Vision Application Cases

            • Fruit & Vegetable Grading

            • Technical Headlines
              • High Throughput
              • Object Tracking
              • Customised Lighting Solution
              • Neural Networks (Segmentation and Classification)
              • Real-Time Perspective Correction Functions
              • Sensor Integration to Monitor Products in Angled Positions

              At Qtechnology, we develop customised computer vision solutions for food grading of production volumes up to 25 tons per hour, which requires analysing more than 250,000 products from around 7,500,000 images.

              Throughout the integration of various vision systems for industrial inspection, we have obtained vast knowledge about various challenges related to mechanical integration, cleaning and handling of material in machines, and the restrictions this often poses to the visions systems in regards to speed, lighting, and image capturing in an industrial environment.

              We have developed a range of customised machine vision systems for grading, weighing and packaging of fruit and vegetables, primary for Newtec A/S – a market-leading manufacturer. These solutions minimise scrap, ensure high product quality and prevent unsatisfactory products from reaching the end customer. With high-performance accuracy, our vision technology thus assists customers in reducing production and labor costs.

              Moreover, we are developing novel x-ray technologies that efficiently inspect whole potatoes and other vegetables, detecting contaminants such as needles, nails, rocks, stones, glass, and other foreign objects as well as hollow hearts, which guarantee safety and quality.
            • Food Grading Solutions for Seafood Processing

            • Technical Headlines
              • Integrated into Watertight Stainless Steel Box with Door
              • PLC Interface
              • Fish Species Detection (Sole, Flounder, Turbot, etc.)
              • Size Determination

              Based on our knowledge within computer vision technology, we have developed a waterproof grading solution for onboard conveyor systems on commercial fishing vessels or onshore fish processing lines. This technology automates the seafood grading process, which is commonly done manually. Moreover, it eliminates human errors and inconsistencies, as it does not rely on human operators.

              The seafood grading technology enables the grading of fresh seafood with more than 1mm accuracy, sorting of fish by size and type, while also detecting unrecognised seafood (unknown, defect and bent fish, etc.) and garbage (e.g. effects not detected as fish). The data from our cameras are sent to a programmable logic controller (PLC) system, that sorts fish and discharges foreign objects using robotics technology.
            • Quality Control in Food Production

            • Technical Headlines
              • Detection of Various Defects in Different Products
              • Product Tracking on Production Lines
              • Communication with PLC’s, I/O Controllers, etc. With Different Protocols EtherCat, Profibus, ModBus TCP, Profinet
              • Sensor Interfacing Belt Encoders, GPS
              • Light Controllers

              Our smart cameras have been applied for various quality control applications. An example of this is the production lines used for rice-based fast-food products in Asia. For this project, we applied computer vision and laser technology to develop solutions for detecting foreign objects and discoloration, sealing edges, vacuum bending and stress in plastic sealing.

              In a similar project, we have also developed a computer vision solution for the detection of foreign objects in meat production.

              Using smart cameras, data is collected, processed, and transferred to an ejection system further down the production line. Defects are identified on a conveyor and information of position is forwarded to the eject system that removes defective products. The system is thus decreasing the scrap rate and, most importantly, preventing unsatisfactory products from reaching end consumers.
            • Fruit & Vegetable Topping

            • Technical Headlines
              • High Precision Determination of Cutting Lines
              • Pre-Sorting Based on Shape Analysis
              • Determination Product Defects
              • Detection of Foreign Objects

              In a computer vision system for a strawberry capping machine, we have applied shape analysis and digital images to locate the cutting line, enabling the machine to cap 300 strawberries per minute. Using machine vision technology, this automated capping solution also enables pre-sorting odd-shaped from well-shaped berries, determination of defects on the berries (rod, mold, unripe, etc.) and detection of foreign objects based on adjustable parameters.

              For the cutting process, cameras installed above a roller bed are detecting the stem and cutting line of the strawberries. The cameras forward this information to the capping machine for high precision capping. At this stage, a rejection system also discards defective berries and recirculates berries that cannot be cut correctly.

              In the same manner, the vision technology for strawberry capping may be customised for similar capping systems (e.g. other berries, fruits or vegetables), to ensure high product quality and productivity, by streamlining the grading and capping process.
            • Photometry for Beer Analysis

            • Technical Headlines
              • Observing the Wavelength of Electromagnetic Radiation
              • Instrument Design Qt User Interface
              • Detection of Floating Particles
              • Classification of Particles Research Cooperation with University of Copenhagen (KU) and Carlsberg
              • Research Laboratory.

              It has been observed that the protein and carbon-hydrates in beer sometimes combine into visible particles due to extended temperature changes and mechanical stress of the beer. This is an issue that is formed in the beer after the bottles are sealed and it thus requires inspection of particles inside individual bottles.

              The beers are classified based on the number of detected particles and the distribution of big and small particles – these particles are called floaters. The particles are harmless but the bigger floaters pose a serious consumer concern, whereas the small floaters are invisible to the untrained eye.

              Previously, only trained personnel could classify the beers in different categories but would be a subjective classification and dependent on many factors like light, bottle color, bottle condition (scratches, etc).

              To solve this issue, we developed a camera solution that can classify beer based on size distribution and quantity of floaters in the beer. To see the floaters using vision technology, the bottle needs to be rotated and illuminated with a uniform backlight to observe the particles float fully unfolds.

              The camera solution allows us to detect developments of impurities and haziness by calculating the particle size distribution and amount, which improves manual product control previously applied in the beer production process.
          • Manufacturing

          • Customised Vision Applications for the Machine Vision Manufacturing Industry

            We deliver cameras for multiple applications, including product inspection, mechanical part inspection, 3D modelling, other Machine vision manufacturing apps – the possibilities are endless.

            Throughout the process of integrating vision systems in industrial machinery, we have obtained a vast knowledge of the challenges related to mechanical integration and the restrictions they often pose to the vision systems in a machine vision manufacturing environment.

            Our camera units are often used in 24-7-365 production lines that are dependent on reliable products and support.
              • Vision Application Cases

                  • Surface Defects Inspection

                  • Technical Headlines
                    • Light Settings
                    • Object Recognition
                    • Defect Classification
                    • High Throughput

                    We have supplied a range of different camera systems for quality control that detects defects and track them in the production line. These defects could include bumps, dimples, scratches, holes contaminations (e.g. stains, particles or larger area defects), streaks, color errors, etc., on various surfaces (wood, rubber, metal, etc).

                    Our quality control camera systems with special lighting, determine surface defects on production lines with adjustable products and quality parameters. These systems often replace manual inspection on production lines to remove bottlenecks in the production.
                  • Object Mixing Systems

                  • Technical Headlines
                    • Mechanical Integration (Complete Machine Design)
                    • Object Recognition
                    • Multi Conveyor System with Vibration Feeder and Conveyor Belt
                    • EtherCAT Protocol

                    We have developed an object mixing system for mixing of different products into predefined portions (e.g. nuts, bolts and washers of equal numbers into a bag).

                    We produced a complete machine with camera, light, vibration in-feed, conveyors, eject flaps, collection pan and buffer for mixing based on predefined parameters. This may be used to mix different parts into portions of mixed products. It could be bagging of multiple products into the same packages, such as bolts and nuts or corkscrews and seals.
                  • Quality Control of Mink Fur

                  • Technical Headlines
                    • Hyperspectral Imaging
                    • PCA Classification
                    • Color Classification

                    A research project to determine the ability to classify mink furs by color and purity, using hyperspectral imaging technology.

                    The purity of mink fur is graded based on the red-to-blue ratio of the wool and the color is determined from the darkness of the hairs. I.e. with brown furs there are at least 7 colors and 5 purities, which tantamount to a minimum of 35 classes for brown furs.
                  • Counterfeit Money Detection

                  • Technical Headlines
                    • Near-Infrared Imaging
                    • Qt User Interface

                    To detect counterfeit money, we have developed a vision system that is detecting if bills are real or counterfeit using a hyperspectral camera. By analysing images of a range of different currencies, we can detect whether the ink used on the bills matches the ink from the money printing industry or not.

                    The counterfeit application was made for demonstration purposes and is yet to be implemented in real-life applications. However, it is a great example of how easy an application can be developed and deployed as a stand-alone application using our modular and scalable smart cameras and vision software.

                    Our vision technology may also be used in applications for high scale, multiple currency money sorting and counting and automation of other processes within the finance industry.
                  • Optical Character Recognition

                  • Technical Headlines
                    • Light Settings (Avoiding Specular Reflections)
                    • Mechanical Presentation of Barcodes to Camera

                    To determine the possibility to read bar codes and labels, we have exploited our smart camera technology to develop 1D barcodes and OCR. Using the right resolution, we developed the technology required to recognise the barcode and label text in a product.

                    The potato bags used for testing of the system had barcodes varying in width between 32 and 37mm. However, the test system, with a 16mm lens, was able to decode letters with at least 9mm of height (15pxs) and a 25mm lens was able to decode letters with at least 4mm of height (11pxs).

                    Another benefit of this system, compared to “pure” barcode readers, is that barcodes that cannot be fully discovered by one camera might still be detected by shared information between cameras.
                  • 3D Bulk Measuring System

                  • Technical Headlines
                    • 3D Measurement
                    • High Throughput

                    Our Scout, a 3D Bulk measuring system for potatoes on flat conveyors, offers potato growers or potato production a way to automatically measure the potatoes produced or the potatoes going into the production. This is used to measure potato produce going into storage or to estimate yield in production lines based on the product being fed into the production line.

                    The scout measure every single potato’s length, width, and height. This information can be used to estimate the yield for production lines of potato wedges, French fries, etc.
                • Medical & Scientific Research

                • Customised Vision Applications for Medical & Scientific Research

                  Our image processing solutions for medical and scientific research makes it possible to detect objects and substances that are not visible to the naked eye, such as enzymes and bacteria. At Qtechnology, we have worked with scientists and chemists to implement a variety of solutions for science and research projects.

                  Combining our cameras with a range of optics, spectrographs, microscopes, and other elements, facilitate application development for scientific observations or dedicated inspection tasks.
                    • Vision Application Cases

                        • Inhibition Zones Around Antibiotic Containers

                        • Technical Headlines
                          • Light Setting (Multiple Exposures and HDR to Capture Both
                          • OCR Capable Characters in Bright Regions Detection of Inhibition Zones in Dark Areas) OCR
                          • Image Processing

                          Based on some test imaging, we were requested to develop a common algorithm to determine the inhibition zones around antibiotic containers. Each of the inhibition zones has a specific numbering relating to the type of antibiotic, which is used to find the antibiotics with greatest effect.

                          However, disturbing elements such as the labels on the Petri dishes and lighting made it difficult to perform well, with common image processing. Inhibition zones needed to be detected from the inner contour, as they can not grow outside the Petri dish, it sometimes gave overlapping zones. The medium in the Petri dish can have different colors and inhibition zones can be almost transparent. At the same time, the number on top of each antibiotic container must be read accurately.

                          Nevertheless, this requires two or more images with different exposures, to get the best possible detection. In improving the imaging technology and lighting, it is possible to get the code running using Python, enabling us to develop a solution that determines the inhibition zones around antibiotic containers with high accuracy.
                        • Image Flow Cytometry

                        • Technical Headlines
                          • Laser Integration
                          • Light Design (Combination of Laser and Bright Field Light)
                          • Pump Control (Control of External Sample Pump to Fed System)
                          • Optical Design (Integration of Light and Splitting Light to Different Camera Sensors)
                          • Multi-Camera Sensor and Light Synchronisation

                          Combining cell sorting with Imaging Flow Cytometry (IFC) to fully realise its tremendous potential, requires real-time image construction and analysis. However, all IFC systems demonstrated to date perform image analysis offline, and the ability to produce, measure, analyse cell images, and to sort cells in a real-time manner, will be the next major milestone for IFC.

                          Consequently, we developed a solution that extracts cell characteristics in real-time, including the use of Field-Programmable Gate Arrays (FPGA) or Graphics Processing Unit (GPU) to implement various image processing and machine learning algorithms. In other words, we developed an evaluation platform for online monitoring of bacteria and other contaminants in enzyme production, counting bacteria in a given volume eg. 1 mL.

                          One of the two cameras used in the process is equipped with a sensor for bright-field imaging and the other camera is equipped with two sensors and blue lasers for fluorescence excitation. The bright-field and fluorescence imaging are both controlled from the cameras and the cameras are synchronised to each other with minimum latency between image capture.

                          The enzymes are pumped out from the main process pipe to a sample tube, that is passed through the system, where particle sizes and types are determined and counted from the combination of bright-field and fluorescence images.
                        • Recovering Hidden Medieval Texts

                        • Technical Headlines
                          • Hyperspectral Imaging

                          As parchment was an expensive material in the 16th century, the paper was often reused, especially during the 16th century when Catholic books were discarded in favor of new Protestant. For centuries, it was common for bookbinders to reuse books as bracing in – and cover on – contemporary books as well as scraping the text clean because it was parchment and then write new text on top.

                          Withal, it has been a challenge for the librarians to decode these hidden texts. Hence, in 2017, our hyperspectral imaging (HSI) cameras were applied in a project with Newtec A/S, attempting to decode a selection of old books containing unreadable texts in their bindings. In the project, a selection of monographs from Herlufsholm Special collection was moved down a conveyor belt underneath HSI cameras and special lighting.

                          The result was that unreadable passages in the monographs were made considerably more legible, which enabled further analysis of texts in the scholarly community using data mining. The project concluded that the combination of HSI and Data Mining is a powerful tool when it comes to the reading and rapid identification of hidden medieval manuscript fragments.
                      • Camera Technology

                      • The Ability to See Beyond the Visible

                        We are developing computer vision solutions with a range of different imaging technologies, with an analysis range across the electromagnetic spectrum. Our solutions are not restricted to simply analysing the portion of the electromagnetic spectrum that is visually perceivable by humans, as we are also providing infrared, ultraviolet and x-ray imaging technology.

                        Infrared Imaging

                        NIR Near-Infrared Imaging 650 – 950 nm
                        By replacing infrared filtering in the cameras and the use of NIR enhanced image sensors, our cameras can be used for NIR imaging.

                        Applications: Surveillance, hyperspectral imaging, bottle inspection, industrial sorting, agriculture, etc.

                        SWIR Short Wave InfraRed Imaging 900 – 1700 nm.
                        With special inGaAs sensors, the Near-infrared imaging spectrum can be increased to cover up to 1700 nm.

                        Applications: Our cameras using InGaAs sensors can be used for hyperspectral imaging, spectroscopy, biological imaging, water/moisture detection, industrial sorting, Internal defects, etc.

                        LWIR Long Wave InfraRed imaging 8 – 14 um
                        LWIR apply uncooled microbolometer sensors used for industrial thermal imaging.

                        Applications: building inspection, industrial insurance inspection, industrial process control, etc.

                        Visible Light

                        Standard Imaging
                        Different coloured LED modules or combinations can be customised to each application.

                        Many applications require very specific light wavelengths to emphasise only certain specific features of the object. If the color of the feature of interest is known, using a similar wavelength of color LED will highlight this specific feature. For instance, green light makes green features appear brighter while red light will make green features appear darker.

                        Applications: Used in the majority of vision applications. In particular, in applications where color is an important characteristic.

                        Ultraviolet Imaging

                        UV Imaging 200 – 400 nm
                        With the use of Special UV enhanced BSI (Back Side Illuminated) sensors, our cameras can be used for reflected-UV imaging and UV Fluorescence imaging.

                        Applications: Forensics, detecting scratches and digs on specular surfaces, detecting changes in surface texture on smooth surfaces, detection of organic materials eg. for foreign object detection or oils, grease contamination on surfaces

                        X-ray Imaging

                        X-ray Imaging
                        By combining our low noise image sensors with scintillators, our cameras can be used in x-ray various applications.

                        Applications: Detection of metal, internal damages, hidden components, cracks, welding flaws, and determination of dimensional measurement, etc.

                        Research & Development

                        With our internal electronics design, software development VHDL and mechanical design, we control the entire design cycle in the development of new camera platforms and sensor integration. Beyond the development of camera systems, we have access to a broad range of in-house research facilities for optical, chemical and mechanical research, design and integration.

                        We transfer our specialised knowledge about optical design into the development of specialised optics, lenses, lighting, etc. When designing complex optical systems, we can adjust the system to our clients’ specific system needs and requirements.

                        Exploiting our state-of-the-art research facilities, we can perform chemical testing and verification of product substances to ensure a reliable vision system. We can evaluate systems in several conditions and observe its behaviour, as well as making sure the system will not misbehave under various circumstances.

                        We are also able to develop the mechanical design for camera enclosures, specialised sensor integrations, machines and micromechanics (e.g. lenses, gears, etc.)

                        Finally, Qtechnology has a big network of suppliers for electronics and mechanical manufacturing of parts for both cameras and machines.
                        • Optical Laboratory With Optical Tables, Vibration Isolation and Broadband Damping
                        • Optical Design Software (Zemax)
                        • Chemical Laboratory With Trained Personnel
                        • Tube Furnace With Gas Supply (20-1800C)
                        • Optical, Atomic Force, Scanning Tunneling (In Air) and Raman Microscopes
                        • X-ray Scanner Setup
                        • Hyperspectral Scanner (400-1000nm & 1000-1750nm)
                        • Food Grade Migration Testing
                        • Cleanroom (ISO 8)
                        • Nano Second Pulsed Nd:YAG Laser
                        • 3’’ Mask Aligner
                        • FTIR Transmission RF Material Analyser
                        • Spectrometers (475-1100nm & 900-1750nm)
                        • 3D Printer (Ultimaker 2)Research & Development
                          • Standalone Image Processing

                          • Embedded Machine Vision Systems
                            At Qtechnology, we customise advanced computer vision solutions, which are based on our smart camera modules, with exchangeable camera heads, designed in-house to fit each customer’s specific needs. In contrast to generic stand-alone smart cameras, our smart cameras perform image-processing directly in the camera. A major benefit is the ability to run as a complete standalone image-processing system, without the need for an external PC or other product integration.

                            Our camera platform has Gigabit Ethernet connections, display interfaces, display port or HDMI, USB ports and Cfast card interface or similar. By connecting a screen, keyboard, and mouse to the camera you will have a full computer available.

                            All cameras are running GNU/Linux, a secure and stable environment and further, it provides access to several open-source libraries and applications for image processing and application development as well as third-party libraries supporting V4L2 API.
                          • Multiple Wavelength Imaging

                          • Hyperspectral Imaging solutions
                            With the use of low noise sensors, with spectrographs or specialised sensors, with narrow-band spectral filters at the pixel level, hyperspectral image cubes can be captured. These cubes can be used for spectroscopy to identify spectral features and signatures of different materials. It is not only used to separate specific materials but also to make qualitative measurements of the analysed objects.

                            See our jelly Bean experiment for information regarding the application of hyperspectral imaging in food inspection.

                            Multispectral Imaging solutions
                            Some computer vision solution requires our multi-spectral or hyperspectral imaging technology.

                            Multispectral imaging is a combination of a few bands of the spectra at the pixel level. An example is our 3 CCD camera where each colour spectra are optically separated in red, green and blue and recorded at pixel level on three CCDs one per colour.
                        • Camera Architecture

                        • FPGA Integrated Circuit

                          The FPGA in the Qtechnology cameras are not only used to interface to the growing number of sensors but also for several other operations, including:
                          • Whitebalance
                          • Illumination Correction
                          • Perspective Correction
                          • Bayer Interpolation
                          • LUTs One Per Colour or Mono
                          • Kernels 3×3 or 5×5 for Image Sharpening, Blur, Contrast Enhancements, etc.
                          • Image Format Conversion RGB to HSV or Other Special Combinations Like RGBH

                          Trigger and Flash

                          The cameras also have external trigger in and a flash output signals and may be customised for more I/Os dependent on need.
                          • A trigger can be used as either level-triggered expose during trig and as edge trigger.
                          • Flash output for driving external strobe light or other cameras for simultaneous capture
                            • Industrial Camera Architecture with Embedded CPU

                            • The camera architecture of our cameras is modular by nature and comprise a growing number of heads into which a variety of CMOS, CCD, InGaAs, and microbolometer sensors are mounted with various configurations and lens interfaces.

                              The modular nature of the system enables developers to mix and match the heads with the body, to meet the needs of their application and also the platform can be changed between different applications.

                              One of the commonly applied camera platforms is our QT5022 platform with AMD APU. The QT5022 camera body contains two main computing units an FPGA and AMD (APU), that features X86 CPU cores and Radeon Graphics GPU in a SOC. The FPGA in the camera controls the settings of the sensor and interface to the different sensors.

                              Several operations are performed by the FPGA, such as image correction, white balance correction, perspective correction, and illumination correction, thus offloading the main CPUs of these tasks.

                              The preprocessed images are transferred over a PCI Express interface to the AMD APU. Where further computing power is required, an additional GPU can be added within the body of the camera.
                            • Camera Configuration

                            • V4L2 API Controls
                              Qtechnology cameras are easily configured through the web interface and the images can be checked and downloaded through a standard web browser, without installation of any special programs or drivers.

                              Through the web interface, it is possible to control all the camera features, like image formats, image size, regions of interest, frame rate, exposure time, triggers, gain, etc. All these features are controlled through the V4L2 API controls, which are also available controls from user applications.

                              Other special features built into the web interface is auto white balancing, focus adjustment measures, histograms, sensor calibration, etc.

                              All configurations can be saved and restored for use in user applications or for setting up other cameras.

                              Customisation
                              Cameras can be customised to your needs, if its different sensors, mechanics, environment, etc. We are also able to supply specific software interfaces, protocols, processing algorithms, pipelines, etc.
                          • Camera Heads

                          • Exchangeable Camera Sensors

                            Qtechnology design smart cameras with exchangeable sensors. The camera heads include the imaging sensors and a lens interface, which facilitate the customisation of a specific sensor, lens interface and integrate LED lighting in the camera system. Read more about customisation of our cameras here.

                            Our exchangeable camera heads that can be utilised on different processing platforms, which allow our clients to tailor a platform with specific heads for specific applications. This facilitates the testing of alternative solutions for various projects – e.g. scientific research projects. It also enables the replacement of a camera body without having to replace the camera head once the camera hardware becomes obsolete.

                            C-Mount

                            This is the standard within machine vision systems, with fixed focal or varifocal lenses from the smaller sensors up to 4/3″ sensors.
                            There are many suppliers and a good share of quality manufactures of C-mount lenses.
                            For this mount, there is also a good range of microscope fittings and tubes.

                            Dual C-Mount

                            This special sensor head can be used in multiple configurations using similar sensors or combining sensors. Still, with C-mount for both lenses. The distance between the centre of the image sensors is 50mm.

                            Stereo Vision (3D measurement)
                            Dual Focal Length (two different focal length lenses)
                            RGB+Mono
                            RGB+NIR
                            Any combination of RGB, Mono, NIR

                            The two image sensors in this head can run synchronised or completely independent with different frame rates, exposures, etc.
                              • Main Camera Heads

                                  • CMOSIS CMOS

                                  • Global shutter 5.5um x 5.5um pixels
                                    Versions available: M: monochrome /C : color /E12M : monochrome Nir Enhanced
                                  • SONY CMOS

                                  • Global shutter 3.45um x 3.45um pixels
                                    Versions available: LL:monochrome / LQ: Color
                                  • SONY CCD

                                  • Global shutter 3.45um x 3.45um pixels
                                    4.65um x 4.65um pixels
                                  • Other heads

                                  • Do not hesitate to get in touch with us if you do not find what you need or have special requirements in regards to sensors, mechanics, lighting, etc.
                                  • Micro FourThirds

                                  • Qtechnology is a member of the Micro Four Thirds group.

                                    The Micro Four Thirds is mainly used for sports and research. With the Micro FourThirds lens interface the camera has an active electronic interface to the lens giving the options for electronic control of focus, aperture and on some lenses focal lengths (Zoom).

                                    Originally Micro Four Thirds interface was made for mirrorless digital SLR photography.
                                • Industrial Camera Platform

                                • We Offer 4 Types of Industrial Camera Platforms

                                    • AMD APU Series

                                    • QT5022 – QT5222 AMD APU Specifications

                                      General
                                      • Enclosure: Anodised Aluminium
                                      • OS support: GNU/Linux
                                      • Power: 24V DC
                                      • Consumption: Max. 25W
                                      • Size: 167 x 104 x 72 mm (L x W x H)
                                      • Weight: 1.3 kg
                                      • Operating temp.: 0 – 45 ºC
                                      • Storage temp.: -20 – 60 ºC
                                      • Mount: 2 x M6 and 1 x 1/4-20 UNC on each side
                                    • NVIDIA TX2 Industrial Camera Platform

                                    • QT5507 TX2 Specifications

                                      General
                                      • Enclosure: Anodised Aluminium
                                      • OS support: GNU/Linux
                                      • Power: 24V DC
                                      • Consumption: Max. 25W
                                      • Size: 167 x 104 x 72 mm (L x W x H)
                                      • Weight: 1.3 kg
                                      • Operating temp.: 0 – 45 ºC
                                      • Storage temp.: -20 – 60 ºC
                                      • Mount: 2 x M6 and 1 x 1/4-20 UNC on each side
                                    • Snapdragon Industrial Camera Platform

                                    • QT5506 Snapdragon 820 Specifications

                                      General
                                      • Enclosure: Anodised Aluminium
                                      • OS support: GNU/Linux
                                      • Power: 24V DC
                                      • Consumption: Max. 15W
                                      • Size: 80 x 104 x 72 mm (L x W x H)
                                      • Weight: 850g
                                      • Operating temp.: 0 – 45 ºC
                                      • Storage temp.: -20 – 60 ºC
                                      • Mount:2 x M6 on each side
                                    • Snapdragon Industrial Camera Platform

                                    • QT5506-CSI Snapdragon 820 Specifications

                                      General
                                      • Enclosure: Anodised Aluminium
                                      • OS support: GNU/Linux
                                      • Power: 24V DC
                                      • Consumption: Max. 8W
                                      • Size: 65 x 65 x 65 mm (L x W x H)
                                      • Weight: 500g
                                      • Operating temp.: 0 – 45 ºC
                                      • Storage temp.: -20 – 60 ºC
                                      • Mount: 2 x M6 on each side
                                    • PTZ SportsCam

                                    • SportsCam

                                      General
                                      • Enclosure: Anodised Aluminium
                                      • OS support: GNU/Linux
                                      • Power: 24V DC
                                      • Consumption: Max. 25W
                                      • Size:
                                      • Weight:
                                      • Operating temp.: 0 – 45 ºC
                                      • Storage temp.: -20 – 60 ºC
                                      • Mount:
                                  • Customisation

                                  • Customised Machine Vision Systems

                                    Find a Machine Vision Solution that Fits Your Vision Needs
                                    We develop application-specific machine vision systems based on our industry-proven smart cameras, which are tailored to each of our clients’ specific needs. Our cameras are designed and manufactured in-house, with different sensors and mechanics, within different environments. In application-specific product development projects, we also supply specific software interfaces, protocols, processing algorithms, and pipelines, etc.

                                    With internal mechanical, electrical, software and science resources, we develop complete system designs for machines, machine add-ons, and research instruments. Hence, we can handle full projects from idea to a running, application-specific instrument, machine or test set-up.

                                    While we assist our clients throughout the development process in some projects in some cases, others consult with us about doing some of the phases in their development process – i.e. during the idea, concept, development phases or when upgrading an existing system, to get a product back on track.

                                    Customer Centric Development

                                    At Qtechnology, we realise that some applications require a specific solution and we always help you in finding the right solution for your needs.

                                    We take pride in the ability to design high-quality vision solutions that meet our clients’ specific needs, and customised solutions in regards to image sensors, lights, optics, image processing, algorithms, software, hardware or the combination of technologies in new and innovative ways.

                                    For us, it is important to build successful relationships with our clients. The understanding of our clients’ business and the challenges they are facing is essential, to deliver a solution that fulfills their specific needs.

                                    Customised Smart Cameras

                                    With our modular concept designed for easy adoption to different sensors, we can implement specific sensors mechanics, lens mounts, LED light, etc. in a customised camera head – mounted on a standard camera platform. For instance, we offer specialised head configurations such as angled sensors, special optical mounts, special filters, and built-in LED light.

                                    If we can not meet your specifications with our modular heads, we can adapt to your application with a tailored solution.

                                    Talk to us about the hardware and firmware modifications you need or if you require special housing, different interfaces or different i/Os triggers, etc. We will do our best to come up with a solution tailored just for you, based on any requirements you may have.

                                    Application-Specific Machine Vision Systems

                                    With our in-depth knowledge regarding the latest computer vision technologies, we develop functional state-of-the-art application-specific vision solutions. When developing application-specific solutions, we assist our clients step-by-step throughout the different phases of a project.
                                    • Feasibility Analysis
                                      Initially, we conduct analysis and evaluate a project to determine whether the project is technically and financially feasible.
                                    • Project Plan
                                      If the feasibility analysis proof positive, we carefully develop a project plan to guide the control and execution of a project.
                                    • Camera Design
                                      Based on the feasibility analysis, the ideal smart camera for the project is designed. At this stage it is possible to choose between three general smart camera concepts:
                                      – A modular camera solution
                                      – A modified camera solution
                                      – A tailored camera solution
                                    • Development & Testing
                                      At this stage, we develop the final computer vision solution.
                                    • Integration
                                      If required, we perform the mechanical integration of the solution.
                                    • Service & Maintenance
                                      We are dedicated to assisting our clients with routine maintenance, repairs, and updates.
                                      • Camera Lighting

                                      • A Prerequisite of Vision

                                        An improper camera lighting may lead to extensive and time-consuming image processing, or even result in loss of information that cannot be recovered in the software. Lighting is a fundamental element in all vision systems, which ensure effective and reliable results.

                                        We know that many parameters need to be considered to make the right choice in regards to lighting, including considerations regarding illumination geometry, types, techniques, wavelength, costs, etc.

                                        At Qtechnology, we have developed a range of external and integrated lighting solutions on various applications. When determining the ideal illumination solution for an application, we always consider the systems’ environment. A detailed examination with different light settings is often the best way to find the right solution, reveal the features of interest such as colours or contrast and minimise the influence of unwanted lighting variations from the object inspected and its surroundings.

                                        LED Strobing

                                        LEDs can be switched on/off rapidly, which gives some advantages – including lower power and longer lifetime. It is also possible to drive the LEDs to higher than nominal intensities with a higher current for shorter pulses, also called strobing.

                                        Strobing is useful whenever an increased amount of light is needed, whenever the objects inspected are moving fast and exposure time needs to be low, to minimise motion blur or to eliminate influence from ambient light.

                                        When used as a strobe light, the LED needs to be synchronised to the camera exposure and also it needs to follow the manufacturer’s specification for maximum duty cycle when strobed.

                                        The duty cycle is determined as D = ton / (ton+toff), the duty cycle gives the fraction in per cent.

                                        Advantages of LED

                                        LED lights are the most commonly used illumination in machine vision systems due to the following advantages:
                                        • Extended Life Span and Low Maintenance Requirements
                                        • High Output Stability
                                        • Fast Response
                                        • Suitable for Pulsed Operations
                                        • Mechanically
                                        • Easy to Integrate Easy to Customise to Different Light Geometries
                                        • Wide Range of Individual Colours
                                          • Camera Lighting in Machine Vision Systems

                                          • We can supply customised LED modules, area light, spots, backlight, etc. – to fit each client’s application.

                                            When designing a lighting system, we establish whether the front or backlight is more suitable and find the ideal angle at which the light falls on the object surface. This may be the most important task, as it governs how a captured image will appear. In this regard, the two important subgroups of front and backlight illumination – bright field and dark field illumination – is considered.

                                            The lighting is either driven directly from the camera or using our external LED controller box that supports up to 8 individual LED strings and up to 1 A configurable per string – in a constant current drive up to 75 V per string.

                                            Each channel can be programmed for different settings, to a minimum and a maximum LED on times and maximum duty cycle. Moreover, overlaying pulsing of the LEDs can be activated to remove unwanted flickering of light.

                                            The luminous flux produced by an LED increases almost linearly with the current. Hence, we recommend using a current controlled LED controller to control the current through the LED’s and not the voltage, so that the light is stable, tightly controlled and repeatable.
                                          • Colours and Wavelength

                                          • LED modules with different colours or combinations can be tailored to various applications. Many applications require very specific light wavelength to emphasise only certain specific features of the object.

                                            If the colour of the feature of interest is known, then using a similar wavelength of colour LED will highlight this specific feature. Greenlight, for instance, makes green features appear brighter while red light will make green features appear darker.

                                            Other vision solutions might require integration of lasers or other special lighting. For instance, when used for measuring dimensions or to excite certain features in an object. An example is live-cell fluorescence measurement with a dye agent or line laser for object profile measurement. Qtechnology has experience in working with these technologies as well.
                                        • Embedded Vision Software

                                            • Open Source Ecosystem

                                            • Qtechnology is a big player in the Open Source embedded vision ecosystem with contributions in all the stack and a synonym of innovation and openness.

                                              Even if you are not familiar with our industrial camera or vision solutions, you are most likely already using our software in your Phone, Browser or Cloud Provider. More than 1000 patches on the Linux kernel, GStreamer and OpenCV, among others, probe our devotion with Open Source.

                                              Our industrial cameras run the latest upstream software, tailored to their performance, so you simply have to focus on your area of expertise. No need to learn new libraries or fears of getting locked in a closed ecosystem.

                                              The same software that can run on your notebook and make use of your webcam, can run on all our highly specialised industrial cameras.
                                            • Embedded vision with Yocto Project

                                            • We have decided to use Yocto Project / OpenEmbedded as the distribution for our cameras. With Yocto Project we provide thousands of libraries and applications tailored to the hardware of your camera, so you can get the most out of the camera.

                                              Thanks to its hundreds of contributors and fast-paced development, our industrial cameras are most likely able to solve your vision project out of the box.
                                            • Software Stack

                                            • There are multiple ways of developing your application. Qtechnology’s industrial cameras give you complete freedom to choose the software stack that solves your computer vision problem. There is no need to build your applications on top of a proprietary library or application.

                                              All the interaction with the camera and the FPGA is done through the standard Video4Linux API. This includes not only the different format converters but also the programming of the advanced components as the LUT, camera calibration or the Illumination Correction.

                                              At Qtechnology, we can develop full application software for your application, from image processing to machine interfacing. We also have experience in integration with existing machinery from several projects .
                                              For example, you can choose to build your app using:
                                              • Direct access to the camera via Video4Linux API, Eg: Qv4l2
                                              • Develop on top of the de-facto computer vision library OpenCV
                                              • Use one of the many Libraries from Python healthy Machine Learning/Computer Vision ecosystem, e.g: Scikit-learn or TensorFlow
                                              • Rely on GStreamer multimedia framework, to build your real-time video pipeline, with broadcasting quality
                                              • Leverage form any other third party library such as Halcon, MATLAB or GNU Octave
                                            • Hardware Acceleration

                                            • The access to the hardware acceleration is also done with a standard API, in this case, OpenCL, allowing your application to be ported seamlessly on all the different Qtechnology cameras, even on different architectures.

                                              Nevertheless, we also support other parallel computing platforms as CUDA on our NVIDIA based industrial cameras.