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Rajesh Mahapatra, Engineering Manager at Analog Devices, presents the "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" tutorial at the May 2014 Embedded Vision Summit.

Significant resemblance and overlap exist among the pre-processing blocks of different vision applications. For instance, image gradients and edges have proven beneficial for a variety of applications, such as face detection, traffic sign recognition, and fault detection. What if such pre-processing was available "for free" to vision developers, as a built-in hardware feature with a compute pipelining mechanism?

In this presentation, Mahapatra illustrates how edge detection as a pre-processing tool can be used effectively to reduce the computational cost of vision applications, enabling low-power implementations. Analog Devices' examples include the detection of faces, traffic speed limit signs and irises, demonstrating a significant reduction in programmable DSP loading.

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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