Low latency resilient people detection and counting for edge devices
-
Updated
Jun 9, 2020 - JavaScript
Low latency resilient people detection and counting for edge devices
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…
People Counter Application is a smart video IoT solution using Intel hardware and software tools. The app detects people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
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…
OpenVINO project to count the number of people in a video frame
Create a smart video IoT solution using Intel® hardware and OpenVino Toolkit. The app will detect people in a designated area, providing the number of people in the frame, the average duration of people in the frame, and total count. Send all calculated Stats and Output Image to the server using Mosca and FFmpeg server.
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 a smart video IoT solution, using Intel® hardware and software tools. The app detects people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
People Counter Application using OpenVINO Toolkit.
Text , Human Pose , Vehicle detector using pre trained models of openvino toolkit
People Counter app for the Udacity Intel Edge AI Nanodegree
For this project, you’ll first find a useful person detection model and convert it to an Intermediate Representation for use with the Model Optimizer. Utilizing the Inference Engine, you'll use the model to perform inference on an input video, and extract useful data concerning the count of people in frame and how long they stay in frame. You'll…
Add a description, image, and links to the openvino-toolkit topic page so that developers can more easily learn about it.
To associate your repository with the openvino-toolkit topic, visit your repo's landing page and select "manage topics."