50+ AI City Partners Using NVIDIA Deep Learning for Real-Time Insights, Making Communities Safer and Smarter, Improving Traffic and Resource Usage SAN JOSE, CA — (Marketwired) — 05/08/17 — GPU Technology Conference – Paving the way for the creation of AI cities, NVIDIA today unveiled the NVIDIA Metropolis™ intelligent video analytics platform. Metropolis makes cities safer […]
Junhwan Kim, CEO of StradVision, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Kim showcases the company’s deep learning-based object detection software for six object classes including pedestrian, car (sedan, SUV), bus, truck, box truck, and rider (cycle, motorbike), running on NVIDIA's TX1 application
StradVision Demonstration of its Deep Learning-based Object Detection Software for ADAS Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Computer vision is one of the hottest areas in artificial intelligence (AI) today. Deep learning has enabled computers to understand images better than humans. It is hard to believe that it was only 5 years ago,
Allied Vision has developed its own “system-on-chip” as basis for future product lines. ALVIUM combines advanced image processing, small size, low power consumption and standard interface options. Stadtroda, Germany, May 4, 2017 – Allied Vision introduces a new unique vision processor technology. The ALVIUM® technology consists in a proprietary chip design optimized for advanced digital
Allied Vision Introduces ALVIUM, a Revolutionary Vision Processor Technology Read More +
Allied Vision revolutionizes the embedded vision industry with an all new camera platform that combines the performance of a machine vision camera and the size, power consumption and price of an embedded camera. Santa Clara, CA, May 4, 2017 – Allied Vision, a leading manufacturer of digital cameras for industrial and scientific image processing, presented
Groundbreaking IP brings real-time 1080p scene classification, object detection, and pixel segmentation to embedded devices. May 03, 2017 08:00 AM Eastern Daylight Time -SANTA CLARA, Calif.–(BUSINESS WIRE)–VeriSilicon Holdings Co., Ltd. (VeriSilicon), a Silicon Platform as a Service (SiPaaS®) company, today announces VIP8000, a highly scalable and programmable processor for computer vision and artificial intelligence. It
Endre Toth, Director of Business Development at Vision Components, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Toth demonstrates the company's powerful Carrida ALPR (automatic license plate recognition) software engine in combination with an ARM-based stand-alone intelligent camera running Linux. Vision Components' Carrida Software
This blog post was originally published at Basler's website. It is reprinted here with the permission of Basler. Looking for a new pair of pants? Right now you're likely to go to a store or order a pair online in a standardized size, typically one of four variants ranging from S to XL. Low unit
The Future is Smart: Image Processing is an Important Component of Industry 4.0 Read More +
Unleash the full potential of Deep Learning on your platform Calgary, May 1, 2017 /PRNewswire/ — Today, Au-Zone Technologies Inc. announced the introduction of DeepView, a Machine Learning Toolkit and Run-Time Inference Engine for embedded processors. The DeepView Toolkit provides computer vision engineers with a seamless and intuitive, graphical development environment to design, train and
New functionality includes neural network acceleration, feature detection, image classification, and conditional graph processing. First public release of OpenVX SC for vision acceleration in safety critical systems May 1, 2017 – Embedded Vision Alliance Summit – Santa Clara, CA – The Khronos Group™, an open consortium of leading hardware and software companies, announces the immediate
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