Anton Leontiev, Embedded Software Architect at ELVEES, JSC, presents the "Designing a Stereo IP Camera From Scratch" tutorial at the May 2017 Embedded Vision Summit.

As the number of cameras in an intelligent video surveillance system increases, server processing of the video quickly becomes a bottleneck. On the other hand, when computer vision algorithms are moved to a resource-limited camera platform, their output quality is often unsatisfactory.

The effectiveness of vision algorithms for surveillance can be greatly improved by using a depth map in addition to the regular image. Thus, using a stereo camera is a way to enable offloading of advanced algorithms from servers to IP cameras.  This talk covers the main problems arising during the design of an embedded stereo IP camera, including capturing video streams from two sensors, frame synchronization between sensors, stereo calibration algorithms, and, finally, disparity map calculation.

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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