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People-Counter-App-at-the-Edge

Akanksha Raghav

Akanksha Raghav

Greater Noida, Uttar Pradesh

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The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. ...learn more

Project status: Under Development

Artificial Intelligence

Intel Technologies
oneAPI, DPC++, Intel Opt ML/DL Framework, Intel CPU, OpenVINO, Intel Python

Code Samples [1]

Overview / Usage

The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.

Methodology / Approach

The counter will use the Inference Engine included in the Intel® Distribution of OpenVINO™ Toolkit. The model used should be able to identify people in a video frame. The app should count the number of people in the current frame, the duration that a person is in the frame (time elapsed between entering and exiting a frame) and the total count of people. It then sends the data to a local web server using the Paho MQTT Python package.

Technologies Used

Hardware
  • 6th to 10th generation Intel® Core™ processor with Iris® Pro graphics or Intel® HD Graphics.
  • OR use of Intel® Neural Compute Stick 2 (NCS2)
  • OR Udacity classroom workspace for the related course
Software
  • Intel® Distribution of OpenVINO™ toolkit 2019 R3 release
  • Node v6.17.1
  • Npm v3.10.10
  • CMake
  • MQTT Mosca server

Repository

https://github.com/akanksha-raghav/People-Counter-App-at-the-Edge

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