AI Box with ReID Accelerated Application

The AI Box with ReID accelerated application performs distributed, scalable, multi-stream tracking and Re-Identification. The app leverages machine learning for pedestrian tracking and decoding multiple camera streams and performs pedestrian detection and tracking across camera feeds. Common applications include smart cities, retail analytics, and video analytics.

AI Box with ReID Accelerated Application Block Diagram

Features:

  • Up to 4 streams of H.264/H.265 decode​ at 1080p resolutions​
  • Pedestrian and track on all streams​
  • HDMI or DisplayPort out​
  • User programmable deep learning models​ and video codec​
  • Complete application including HW design ​
Frequently Asked Questions

No, the app does not require any experience in FPGA design.

This app is free of charge from Xilinx.

Xilinx has tested a specific set of cameras that support H.265/H.264 RTSP streams. However, the app is expected to work with any H.264/H.265 encoded streams.

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