Immervision Demonstration of How Its Super-wide-angle Camera and Pixel Processing Can Improve Machine Perception

Patrice Roulet, Vice President of Technology and Co-founder of Immervision, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Roulet demonstrates how the company’s super-wide-angle camera and pixel processing can improve machine perception.

Roulet describes how to specify, simulate and design using cameras equipped with super-wide-angle lenses and sensors, for the purpose of improving machine perception. He also shows how a specific pixel processing technique, adaptive dewarping, can increase machine perception’s accuracy. The demo makes use of two application scenarios: monocular single frame depth perception and object classification (such as YoloV4).

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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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