Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

An open and scalable video surveillance system for anyone making this world a better and more peaceful place.

(DEPRECATED) An open source image processing framework, which uses your USB-, IP- or RPi-camera to recognize events (e.g. motion).

(DEPRECATED) An open source GUI to configure the machinery and to view events that were detected by the machinery.

A Linux OS created by Buildroot which runs Kerberos Open Source out-of-the-box.

Deep learning based object tracking with line crossing and area intrusion detection

FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES

A video monitoring client based on Qt and FFmpeg.（基于Qt+FFmpeg的视频监控软件）

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Run Kerberos Open Source inside a docker container.

Open source software package, which aims to allow solving different tasks related to computer vision areas, like video surveillance, vision based automation/robotics, different sorts of image/video processing, etc.

Asynchronous Audio / Video Library for H264 / MJPEG / OPUS / AAC / MP2 encoding, transcoding, recording and streaming from live sources

Connect all CCTV cameras to this system to track someone's live location in a premise using facial recognition. It can be also used to maintain records of people entering a premise using their face instead of bio-metrics/cards/manual Entry

Distributed Motion Surveillance Security System (DMS3): a Go-based distributed video security system for SBCs (e.g., Raspberry PIs or similar)

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

A scalable single pane of glass for your ever growing surveillance landscape with dashboards, analytics, notifications, device management, sites and grouping.

An enterprise ready, resilient and horizontal scalable solution for large video landscapes.

A smart surveillance system using CCTV Surveillance camera in order to detect hammers, weapons involved in a break in. This Surveillance system focuses on automation of Video Surveillance in ATM machines and detect any type of potential criminal activities. Technologies used open CV, Computer Vision

[ACCV 2024] PyTorch Implementation of the Paper 'VideoPatchCore': Official Version

DeepEYE utilizes computer vision to detect anomalies in video surveillance, offering a proactive security solution. By employing advanced machine learning algorithms, it distinguishes between normal activities and potential threats, enhancing surveillance across sectors like public safety, industry, and smart cities.