Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Skin Disease Detection web app predict the skin disease from a single image in less than one second.

Bringing the hardware accelerated deep learning inference to Node.js and Electron.js apps.

People counter app is used for monitoring people at specific area.

The people counter 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 solution detects people in a designated area, providing the number of …

Udacity's Intel Edge AI for IOT Developers Nanodegree Project - Deploy a People Counter App at the Edge

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.

OpenVINO project to count the number of people in a video frame

People Counter App at the Edge

Chef.ai

This is the starter repo for the people counter project of the Udacity OpenVino Nanodegree

In this project, you will utilize the Intel® Distribution of the OpenVINO™ Toolkit to build a People Counter app, including performing inference on an input video, extracting and analyzing the output data, then sending that data to a server.

People counting Edge Application using Intel's OpenVINO