Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates an advanced mmWave 3D Imaging Radar Solution for occupancy detection in smart homes, automotive, retail, and more, running on a Tensilica Vision DSP-based platform by Vayyar.
Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates low-power, real-time, stereo camera-based depth sensing targeted for drones, industrial robotics, and AGVs, running on a customer’s platform powered by a Tensilica Vision P6 DSP-based SoC.
Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates attention-driven image tagging on the Dreamchip development platform, powered by four Tensilica® Vision P6 DSPs. The demo showcases high throughput and accurate fixed-point deployment of a network based on a Recurrent Neural Network
Tom Hackenberg, Principal Analyst at IHS Markit, presents the “Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors” tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is not a new concept. Machine learning has been used for decades in large server and high performance computing environments. Why
Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “How to Choose a 3D Vision Sensor” tutorial at the May 2019 Embedded Vision Summit. Designers of autonomous vehicles, robots and many other systems are faced with a critical challenge: Which 3D vision sensor technology to use? There are a wide variety of sensors
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Bert Moons, Hardware Design Architect at Synopsys, presents the “Five+ Techniques for Efficient Implementation of Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Embedding real-time, large-scale deep learning vision applications at the edge is challenging due to their huge computational, memory and bandwidth requirements. System architects can mitigate these demands by modifying deep
Clay D. Montgomery, Freelance Embedded Multimedia Developer at Montgomery One, presents the “Building Complete Embedded Vision Systems on Linux—From Camera to Display” tutorial at the May 2019 Embedded Vision Summit. There’s a huge wealth of open-source software components available today for embedding vision on the latest SoCs from suppliers such as NXP, Broadcom, TI and
Nishita Sant, Computer Vision Manager, and Greg Chu, Senior Computer Vision Scientist, both of GumGum, present the “Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction” tutorial at the May 2019 Embedded Vision Summit. Given the growing utility of computer vision applications, how can you deploy these services in high-traffic production environments? Sant
Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “Selecting the Right Imager for Your Embedded Vision Application” tutorial at the May 2019 Embedded Vision Summit. The performance of your embedded vision product is inexorably linked to the imager and lens it uses. Selecting these critical components is sometimes overwhelming due to the
Takeo Miyazawa, Founder and CEO of Magik Eye, presents the “Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions” tutorial at the May 2019 Embedded Vision Summit. Magik Eye is a global team of computer vision veterans that have developed a new method to determine depth from light directly without the need to
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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