This article was originally published at Basler's website. It is reprinted here with the permission of Basler. What is unique about NIR Cameras? “Near-infrared” (NIR) is the portion of the electromagnetic spectrum directly adjacent to the visible range; therefore it cannot be perceived with the human eye. NIR-optimized industrial cameras are popular for applications that […]
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ReRAM test chip demonstrations for AI at the Edge showing simultaneous object classification in one iteration for facial recognition and car license plate recognition featured at Embedded Vision Summit Santa Clara, CA – May 14, 2018 – Crossbar Inc., the ReRAM technology leader, today announced its ReRAM technology for artificial intelligence (AI) is available for
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SANTA CLARA, Calif. – May 14, 2018 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced from AutoSens Detroit its collaboration with Smart Eye to integrate OmniVision’s latest 2-megapixel image sensor with Smart Eye’s sensing algorithm library in a turnkey driver and cabin monitoring solution that targets automotive OEMs. OmniVision’s
ON Semiconductor, IoT World 2018, May 15-17, 2018, Santa Clara, CA, Booth #716 Exhibits at IoT World will demonstrate the latest sensing and connectivity advances and rapid prototyping tools PHOENIX, Ariz. – 11th May, 2018 – ON Semiconductor (Nasdaq: ON), driving energy efficient innovations, will be demonstrating its rapid progress and innovations for the Internet of
This article was originally published at Texas Instruments' website. It is reprinted here with the permission of Texas Instruments. The robustness and reliability of a self-driving car’s computer vision system has received a lot of news coverage. As a vision software engineer at TI helping customers implement advanced driver assistance systems (ADAS) on our TDAx
Tips For Designing a Robust Computer Vision System For Self-driving Cars Read More +
Hannover, Germany, May 9th, 2018 – videantis GmbH, a leading supplier of deep learning and computer vision semiconductor solutions, today announced it has moved into a new office space to accommodate its rapid growth and future expansion plans. At CES in Las Vegas earlier in the year, videantis announced its new v-MP6000UDX visual processing architecture that
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This article was originally published at Basler's website. It is reprinted here with the permission of Basler. For many machine vision applications, image data must be acquired, transmitted and evaluated within a set timeframe. This is known as “real-time capability”. This term can apply to a system, its components, and the software that communicates between
Announces Self-Serve Developer Platform Powering AI on Billions of Devices SEATTLE, WA (May 8, 2018) — XNOR.AI today announced the close of its $12 million Series A financing led by Madrona Venture Group with participation from NGP Capital, Autotech Ventures and Catapult Ventures. The funding will be used to unlock the next wave of AI
XNOR Raises $12M Series A Led By Madrona Venture Group Read More +
Seoul, Korea – May 7th, 2018 — Chips&Media Inc., a leading global video IP provider, announced the launch of its first Computer Vision IP, detecting objects with a capability to process 4K resolution at 60 frames per second input in real-time. The IP implements Convolution Neural Network (CNN) for object detection and is differentiated by introducing
Chips&Media Unveils Its First Computer Vision IP Read More +
Tokyo, Japan –May 8, 2018– Morpho, Inc., a global leader in imaging processing and imaging AI solutions, announced its participation to demo “SoftNeuro™” technology and image quality improvement technologies at the Embedded Vision Summit that will be held on May 21-24, 2018 in Santa Clara, California. Come and visit us at booth #103. Morpho's demo
Morpho Showcases “SoftNeuro™” Technology at the Embedded Vision Summit 2018 Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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