“Image Sensors for Vision: Foundations and Trends,” a Presentation from ON Semiconductor

Robin Jenkin, Director of Analytics, Algorithm and Module Development at ON Semiconductor, presents the "Image Sensors for Vision: Foundations and Trends" tutorial at the May 2016 Embedded Vision Summit.

Choosing the right sensor, lens and system configuration is crucial to setting you off in the right direction for your vision application. Jenkin examines fundamental considerations of image sensors that are important for embedded vision, such as pixel size, frame rate, rolling shutter vs. global shutter, back side illumination vs. front side illumination, color filter array choice and lighting, and quantum efficiency vs. crosstalk. He also explains chief ray angle, phase detect auto focus pixels, dynamic range, electron multiplied charge coupled devices, synchronization and noise, and concludes with observations on sensor trends.

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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