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Vision Spectra Newsletter — Anomaly Detection, Lens Resolution, Bin Picking, and more. (6/25/2020)

Vision Spectra Newsletter — Anomaly Detection, Lens Resolution, Bin Picking, and more.
Quarterly newsletter from Photonics Media featuring the latest advancements in and applications for vision systems – from sensors to software.
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Thursday, June 25, 2020
Quarterly newsletter from Photonics Media featuring the latest advancements in and applications for vision systems – from sensors to software. Manage your Photonics Media membership at Photonics.com/subscribe.

 
Anomaly Detection Expands Use of AI in Defect Inspections
Anomaly Detection Expands Use of AI in Defect Inspections
The manufacturing industry is being turned on its head as AI and deep learning transform the way goods are manufactured and inspected. The combination of software, new deep learning techniques, the power of parallel processing, and easy-to-use tools is at the core of this transformation.
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Calculating Lens Resolution with Precision
Calculating Lens Resolution with Precision
There are many different ways to judge the performance of a lens, depending on the application: weight, size, distortion, transmission, and resolution. Of these characteristics, resolution is often the primary cost driver for lenses, with higher-resolution lenses tending to cost more than lower-resolution ones.
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Robot-Based Bin Picking Set to Transform Manufacturing Sector
Robot-Based Bin Picking Set to Transform Manufacturing Sector
As the Fourth Industrial Revolution nears, companies all over the world will need to prepare for the immense changes coming their way. Machine vision, used in combination with artificial intelligence and deep learning, strives to make manufacturing systems more productive than ever. This is resulting in a greater focus toward robot-based bin picking. High-level collision detection and path planning allow robots to move independently without any human intervention. High-quality structured light projection creates a detailed 3D map of points so that the system can accurately identify the location and orientation of the parts in the bin.
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About Vision Spectra

Vision Spectra is a global resource geared for the vision community, with real-world case studies of vision in action, comprehensive feature articles, and columns from experts in the field examining the trends that enable Industry 4.0.

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.: More Vision News

 
Google to Present End-to-End System for Immersive Light Field Video
Google to Present End-to-End System for Immersive Light Field Video
Google will demonstrate a system for capturing, reconstructing, compressing, and rendering high-quality immersive light field video, at bandwidths low enough to be streamed over regular Wi-Fi, at the SIGGRAPH 2020 virtual conference. In the new system, wide field-of-view scenes can be recorded and played back with the ability to move around within the video after it has been captured.
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Self-Driving Cars That Recognize Free Space Can Better Detect Objects
Self-driving vehicles use 3D data from lidar to represent objects as a point cloud and then try to match those point clouds to a library of 3D representations of objects. The problem with that, according to Peiyn Hu, a Ph.D. student in CMU’s Robotics Institute, is that the 3D data from the vehicle’s lidar isn’t exactly 3D — the sensor can’t see the occluded parts of an object, and current algorithms don’t reason about such occlusions.
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Pentagon Adopts FLIR EST Screening System to Stop Spread of COVID-19
FLIR has announced that it has installed its EST screening system at the Pentagon Visitor Center. The company's integrated EST screening system, the A700 EST-IS, features the FLIR A700 thermal imaging camera. The system is being used to screen visitors for elevated or higher than expected skin temperatures, which can help guard against the spread of COVID-19.
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.: Next Issue:

 
Features
Deep Learning, hyperspectral imaging to detect forgeries, medical device inspection, and more.

Photonics Media is currently seeking technical feature articles on a variety of topics for publication in our magazine Vision Spectra. Please submit an informal 100-word abstract to [email protected], or use our online submission form www.photonics.com/submitfeature.aspx.

 
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