Deep learning based object tracking with line crossing and area intrusion detection
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Updated
Apr 5, 2022 - Python
Deep learning based object tracking with line crossing and area intrusion detection
Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.
Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.
Home surveillance system with facial recognition
Identify unknown persons that are not registered and stores their images with current date and time.
Multi-Camera Person Tracking
A program to aid long range surveillance using Raspberry Pi
Server side of AI-powered video surveillance system
A curated list about Hacktivism.
Motion detection using OpenCV (Raspberry Pi compatible), alerting through pushbullet, served with flask.
It's a motion detection system using Raspberry pi, as detailed in READ-ME
Developed an Intrusion Detection System which can detect Intruders. It also makes an Alarm sound when detected to sound or warn the authorities or nearby individuals. Ideal to be used along with CCTVs for wide-area Surveillance purposes.
Demonstrates the methods of suppressing small cell counts in a provincial surveillance system to prepare data for public release
Repository to hold code for the cap-bot varient that is being presented at the SIIC Defence Hackathon 2021.
The StitchEngine is a by-product of my PhD in computer graphics. The main objective was to provide a running code base with examples to accompany my research outputs.
Use webcam to recognizes faces and authorize access to protected files
UWP app that can detect and notify about any motion it sees through camera
An AI-powered web application leveraging Next.js 14 and TensorFlow.js for real-time object detection. Utilizing Tensorflow model for accurate detection, webcam integration for live video streams, and Media Recorder API for seamless recording.
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