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

This system tracks artifacts in museum and triggers alarm if artifact goes missing from the frame.

City wide smart suviellance system that can detect weapons and fires in real-time and report detailed information to the responsible authorities.

This self sustained autonomous device aims to provide real-time adaptive solution based on Machine Learning inferences

Smart Surveillance System combines YOLOv4 detection and optical flow tracking to monitor objects in video streams, supporting local files and YouTube links with real-time visualization.

The Doorway Traffic Counter project is a real-time monitoring system designed to track and analyze foot traffic through an entryway. It provides essential features like traffic counting, data analysis, and customizable notifications, with potential for future enhancements to improve user experience and functionality.

This vehicle identification project utilizes the YOLOv5 deep learning model for detecting and classifying vehicles from images, videos, and live streams. It supports real-time inference, saving outputs with bounding boxes, confidence scores, and class labels, making it ideal for traffic monitoring and smart surveillance systems.

🚨 A real-time violence detection AI model using MobileNetV2 + LSTM, enhanced with Albumentations for image augmentation and hyperparameter tuning. Seamlessly integrates with Telegram Bot and Firebase for live alerts including image, time, and GPS location. Ideal for smart surveillance, security systems, and AI-powered safety solutions.