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Earlier work · Computer Vision

Face Detection on FPGA

Real-time face detection prototyped in MATLAB and deployed to a ZedBoard with a Xilinx Zynq-7000 SoC.

Face Detection on FPGA

Objective

An undergraduate embedded-systems project (National Institute of Technology Karnataka) to implement real-time face detection on dedicated hardware rather than a general-purpose CPU - built with Pramod K. and Mohan Rao Divate Kodandarama.

Approach

Algorithm development

The face detection algorithm was developed and validated in MATLAB before being ported to hardware.

Hardware implementation

Deployed onto a ZedBoard (Xilinx Zynq-7000 SoC dev board), which pairs an ARM processor with FPGA fabric - letting the image-processing pipeline run closer to the sensor with lower latency than a pure software implementation.