Google Analytics for the real world.

Low latency resilient people detection and counting for edge devices

The people counter application demonstrates 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. This project is a part of Intel Edge AI for IOT Developers Nanodegree pr…

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

Application on Door counter using the mmWave FMCW IWR1642

This is my solution and documentation to the people counter app project at Udacity and Intel Edge A.I. for IoT Developers Nanodegree program. The app can detect people in a live feed, saved video or image and return the number of people in the frame, average time spent people in the frame, and the total count of people detected. It also sends an…

The people counter application demonstrates 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. This project is a part of Intel Edge AI for IOT Developers Nanodegree

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 …

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.

This project uses a common camera and camlitycs with a webhooks to count people (in/out) and show the results in a dash screen. For the server side uses nodejs with implementation get/post methods api and fires chrome in kiosk mode.

People Counter Application using OpenVINO Toolkit.

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 Counter app for the Udacity Intel Edge AI Nanodegree