User Tracking and Onlooker Detection Demonstration

CNN accelerated user detection and tracking using Low Power Lattice FPGAs

Making edge devices smarter and more aware – Lattice sensAI smart vision sensing technology tracks device user's attention and intent to use making edge devices smarter and more aware of their surroundings than ever before.

Protecting User Privacy – by tracking onlookers and their intent to look onto the user screen content, Lattice vision sensing technology safeguards the user data against visual hacking.

Features

  • Accelerated, low-power object detection demo
  • Detect the main user and onlooker and their focus on the user screen
  • Based on Mobilenet v1 network
  • Total application power consumption of CrossLink-NX FPGA is less than 80 mW
  • Processing at up to 60 FPS and 160x160 resolution

Block Diagram

Documentation

Quick Reference
Downloads
TITLE NUMBER VERSION DATE FORMAT SIZE
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CrossLink-NX User Tracking and Onlooker Detection on VVML Board Demonstration - User Guide
FPGA-UG-02140 1.0 11/10/2021 PDF 2 MB
CrossLink-NX QVGA Mobilenet Human Identification on VVML Board Demonstration - User Guide
FPGA-UG-02141 1.0 11/10/2021 PDF 1.6 MB
CrossLink-NX ROI User Tracking Using VVML Board Demonstration - User Guide
FPGA-UG-02158 1.0 6/7/2022 PDF 657.7 KB
CrossLink-NX ROI Face ID Using VVML Board Demonstration - User Guide
FPGA-UG-02159 1.0 6/7/2022 PDF 741.8 KB
TITLE NUMBER VERSION DATE FORMAT SIZE
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CrossLink-NX User Tracking and Onlooker Detection on VVML Board Demonstration - Bitstream
11/10/2021 ZIP 375 KB
CrossLink-NX ROI User Tracking Using VVML Board Demonstration - Bitstream
6/7/2022 ZIP 372.8 KB

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