IoT Reference Implementation: How to Build a Store Traffic Monitor

store traffic

An application capable of detecting objects on any number of screens.

What it Does

This application is one of a series of IoT reference implementations aimed at instructing users on how to develop a working solution for a particular problem. It demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. This reference implementation monitors people activity inside and outside a facility as well as counts product inventory.

How it Works

The counter uses the Inference Engine included in OpenVINO™. A trained neural network detects objects within a designated area by displaying a green bounding box over them. This reference implementation identifies multiple intruding objects entering the frame and identifies their class, count, and time entered.

Requirements

Hardware

  • 6th Generation Intel® Core™ processor with Intel® Iris® Pro graphics and Intel® HD Graphics.

Software

  • Ubuntu* 16.04 LTS       Note: You must be running kernel version 4.7+ to use this software. We recommend using a 4.14+ kernel to use this software. Run the following command to determine your kernel version:
uname -a
  • OpenCL™ Runtime Package
  • OpenVINO™

Visit Project on GitHub

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