fbpx

May 2014 Embedded Vision Summit Technical Presentation: “Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications,” Rajesh Mahapatra, Analog Devices

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.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top