Videos

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 […]

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

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Giddings demonstrates how BDTI creates highly optimized and efficient software for computer vision and deep learning. These demos show a neural network for object detection running on an

Brad Scott, President of Au-Zone Technologies, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Scott demonstrates the company's Embedded Computer Vision SDK and DeepView IDE tools for developing, accelerating and deploying vision pipelines with neural networks on embedded devices.

Dave Tokic, Vice President of Marketing and Strategic Partnerships at Algolux, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Tokic demonstrates the company's novel machine learning approach to addressing the costly and manual intensive challenge of tuning cameras for proper image quality (IQ) for

Bill Jenkins, Senior Product Specialist for AI at Intel's Programmable Solutions Group, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Jenkins demonstrates the AlexNet deep learning topology being processed on Intel FPGAs.

Will Lin from Intel's Automotive Business Unit demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Lin demonstrates multi-class object detection for autonomous driving on live Chinese streets with busy traffic. The hardware and software integration showcases a complete ADAS object detection solution on Intel FPGA platform

Paulo Borges, Autonomous Driving Strategic Business Manager in the Programmable Solutions Group at Intel, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Borges demonstrates a hardware and software platform for showcasing the possibilities of current technology in autonomous driving, focusing on multi-camera visual understanding of the

John Goldie, Strategic Applications Engineer in the Programmable Solutions Group with the Automotive Business Unit at Intel, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Goldie demonstrates video expansion in a head unit for evolving cockpit applications requiring an increasing number of cameras to support new

Durga Peddireddy, Director of Product Management at FotoNation, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Peddireddy demonstrates the combination of image processing hardware and software to deliver high performance at low power consumption. FotoNation is leveraging its design expertise to move image computing blocks onto