Real-time AI-powered theft detection system for retail. Detects shoplifting, concealment, and suspicious behavior using YOLOv8 & Computer Vision with a modern web dashboard.

GRU Model That uses a sequence of MobileNet Image Features to classify a video clip as class label shoplifting or not shoplifting.

Aisle Guard is a lightweight, end-to-end computer vision system for detecting and logging potential shoplifting events from retail camera footage.

This is Embed-C code written in Arduino IDE for ESP8266 for a "Low-Cost Theft-Detection System using MPU-6050 and Blynk IoT Platform".

IoT vehicle telematics for fleet & logistics — ESP32 + SIM7600G 4G/GPS tracker with fuel-theft detection, tamper/cargo security alarms, offline-resilient MQTT reporting, and OBD2 data over ESP-NOW. Includes firmware, KiCad PCB, and 3D enclosure.

Live-tested farm surveillance system — detects wire tampering in <10s, motor theft in <1s, sends GPS-linked SMS alerts — Patent Filed 202521123445

AI based website for real time montoring natural resources.

A real-time AI theft detection pipeline for CCTV surveillance. Built with Python, YOLOv8 for object/person detection, and DeepSORT for continuous occlusion tracking.

An IoT-powered Vehicle Security Intelligence Platform built with ESP32, MQTT, Python, and Streamlit. The system provides real-time vehicle tracking, geofence monitoring, theft detection, telemetry processing, security analytics, event logging, and live dashboard visualization through a complete end-to-end IoT architecture.

An AI-powered system for automatic shop theft detection using deep learning and computer vision. Supports multiple video classification models (EfficientNet + LSTM, 3D CNN, Transformers, VideoMAE). Uses YOLOv8 to detect people in frames. Deployed with a Django web app for easy video upload, prediction, and annotated output.

AI Surveillance PWA for real‑time theft detection using YOLO, OpenCV, Flask, Socket.IO, RTSP recording, and alerting.

real-time IoT-based vehicle tracking and theft prevention system that uses GPS simulation, geofencing logic, and a Streamlit-powered dashboard to monitor vehicle movement, detect unauthorized activity, and generate instant theft alerts. The system transforms raw location data into actionable security insights with live tracking.

AI-driven IoT vehicle tracking and theft prevention system using FastAPI, React, GPS simulation, geofencing, real-time monitoring, alerts, reporting, and ESP32-based IoT architecture.

👁️ Detect and log potential shoplifting events with Aisle Guard, a lightweight computer vision system for analyzing retail camera footage.