Once again this year, the trade journal inVISION, together with a jury of experts, has selected the inVISION Top Innovations in Machine Vision and Metrology. Enclosed you will find the ten award winners 2020 in alphabetical order.
Image: Emberion Oy
Emberion’s low-cost graphene-based VIS-SWIR photodetector combines light-absorbing nanomaterials and graphene converters to enable photodetection in a wide spectral range. The sensitivity range starts at 400nm and currently reaches up to 1,800nm, but will be extended in the future. The first product is a 512 pixel VIS-SWIR linear array sensor.
Emberion | www.emberion.com
Image: Gestalt Robotics GmbH
Based on a neural network from Gestalt Robotics, highly flexible systems for incoming goods inspection and QA are set up. The user takes three to five photos with a tablet or smartphone of a new object and a few seconds later the system is able to recognize the object. Once the AI has detected an object in the image, the object can also be measured metrically.
Shape Robotics | www.gestalt-robotics.com
Image: Hacarus Inc
Hacarus’ AI based on sparse modelling requires only a small set of data as it focuses on the identification of unique features. Tests have shown that sparse modeling consumes only 1% of the energy of a conventional deep learning platform with the same accuracy and significantly less training time. It is therefore the perfect AI technology for embedded systems.
Hacarus | www.hacarus.com
Image: HD Vision Systems
The LumiScanX from HD Vision is based on light field sensor technology and thirteen cameras. Even in ambient light the system can be used without additional lighting. Measurement distances/volumes can be varied. Optimal results are achieved with a measuring volume of 20 to 120cm edge length. The technology shows its advantages especially with glossy surfaces and fibre composites.
HD Vision System | www.hdvisionsystems.com
Image: Inspekto
The S70 from Inspekto is a completely autonomous vision system where the user does not need any machine vision knowledge. The entire set-up process is completed in just under 30 minutes. The user aligns a test pattern in the field of view and marks the ROI. The AI then automatically adjusts the illumination and camera parameters to the respective environmental conditions.
Inspecto | www.inspekto.com
Image: LMI Technologies GmbH
The Gocator 2512 line profile sensor from LMI is a 3D solution for scanning glass and other reflective surfaces. It is able to scan both reflective and diffuse surfaces simultaneously. The system provides high-resolution height/width data down to 8µm to identify and inspect surface edges/distances of matched components.
LMI Technologies | www.lmi3D.com
Image: Precitec Optronik GmbH
The Flying Spot Scanner from Precitec Optronik combines OCT and scanner technology for very fast inline measurement tasks. The scanner makes it possible to reduce cycle times for measurements of layer thickness and topography to a minimum. Even with complete surface scans, the mirrors in the measuring head show their speed advantage and lead to a significant reduction of the measuring time.
Precitec Optronics | www.precitec.de
Image: The Imaging Source
Europe GmbH
Up to now, MIPI/CSI-2 modules were assumed to have a cable length of only 30cm. However, thanks to FPD-Link III Bridge, the new MIPI/CSI-2 camera modules from The Imaging Source allow cable lengths of up to 15m with simultaneous data transmission, control channels and power supply via a single coaxial cable. System solutions based on embedded platforms such as Nvidia Jetson TX2 are already available.
The Imaging Source | www.theimagingsource.de
Image: tofmotion GmbH
The Time-of-Flight camera Spotguard from tofmotion allows a safe room surveillance. The product detects objects entering hazardous areas in real time and performs predefined security functions to minimize identified hazards. The 3D cameras are certified and approved according to EN13849 (Performance Level D) and EN62061 (SIL 2, Cat.) for a working range of 0.05 to 10m.
tofmotion | www.tofmotion.com
Image: wenglor sensoric GmbH
Until now, almost every camera or sensor has required its own software, with increasing functionality. With uniVision 2.1, wenglor has now developed a parameterizable software that is compatible with all vision components, from 2D/3D profile sensors to intelligent cameras and vision systems. The vision software is easy to use even without programming knowledge.
wenglor | www.wenglor.com
The 2020 Mars Rover mission will have 23 cameras on board. Descent cameras will help pilot the rover’s descent to the Martian surface. Engineering cameras will allow the rover to navigate the rocks and dust that cover the planet. And finally, scientific cameras will make observations and help collect samples.
Flex-Eye is a new camera concept giving vision system designers the ability to customize the size and location of wavebands in JAI’s Fusion Series 2-CMOS and 3-CMOS prism-based multispectral cameras.
Israel digital microscopy company Scopio Labs announced it has completed a $16m Series B financing round.
Mojo Vision, a California-based computing company, raised more than $51m in Series B-1 funding round.
Computer Aided Quality (CAQ) has long played an important role in quality assurance.
For 76 percent of the photonics companies in Germany, the business situation has deteriorated due to the corona crisis, 58 percent emphasize that demand has fallen significantly.
For years, image processing has only marginally dealt with the subject of safety.
Machine vision must be even more intuitive in the future.
Special events require special reactions. To ensure that you always have access to the current issue even during the Corona pandemic and that you can read our trade journals in your home office (or any other place), TeDo Verlag provides you with the upcoming issues of its trade journals free of charge as an eMagazine.
Probably none of us imagined March 2020 at the beginning of the year like this.
Unfortunately, the coronavirus currently has the trade fair landscape firmly under its control.
Meanwhile more and more users have made their first experiences with AI.
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