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
Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE
People Counter app for the Udacity Intel Edge AI 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.
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.
Development of RTSP, MediaRTSP servers, protocols and sockets with C/C++ using FFMpeg/LIve555 library(Live Video Processing, CCTV, IP Camera etc.)
A software tool that converts text to video for more engaging learning experience
mix telegram audios using ffmpeg
People_Counter_APP_at_Edge project from Intel® Edge AI for IoT Developers Nanodegree Program
An API client library for datarhei Core in Go
The Restreamer is a complete streaming server solution for self-hosting. It has a visually appealing user interface and no ongoing license costs. Upload your live stream to YouTube, Twitch, Facebook, Vimeo, or other streaming solutions like Wowza. Receive video data from OBS and publish it with the RTMP and SRT server.
datarhei Core is management for FFmpeg processes without development effort. Whether your streaming has one viewer or a million, we have the tools to help you develop, deploy and manage any video project at any stage. We've solved the challenging problems so you can focus on your application, not your infrastructure.
Add a description, image, and links to the ffmpeg-server topic page so that developers can more easily learn about it.
To associate your repository with the ffmpeg-server topic, visit your repo's landing page and select "manage topics."