Human Face Detection

Lattice sensAI Reference Design

Add Human Face detection (or any specific object of interest) to any Device – The human face detection reference design enables systems to always search for the presence of a human face via a CMOS image sensor. With an updated training model using the deep learning framework, Caffe (without any other changes), systems can use our design and detect any object of interest.

Reduce Power without Compromising Performance – Systems can now enable artificial intelligence with an always-on image sensor, while consuming less than 1 mW of active power.

Production-priced, Space-efficient Design – The complete inference engine fits inside of the 2.15 mm x 2.55 mm iCE40 UltraPlus-5K FPGA and can work with various popular image sensors. Featuring proven functionality with Omnivision’s OVM7692 and Himax’s HM01B0.

Features

  • Frame-rate detection can be adjusted and set at 5 frames per second to keep the power consumption under 1 mW
  • Hardware platform used to demonstrate this reference design is the iCE40 UltraPlus MDP board, which uses the Omnivision OVM7692
Lattice sensAI

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Block Diagram

Documentation

Technical Resources
TITLE NUMBER VERSION DATE FORMAT SIZE
Human Face Detection Using Compact CNN Accelerator IP - Documentation
FPGA-RD-02034 1.1 9/25/2018 PDF 438.5 KB
Human Face Detection Using Compact CNN Accelerator IP Project Files
1.0 9/25/2018 ZIP 1.1 MB


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