Real-time driver drowsiness and distraction detection system. EU regulation C(2023)4523 compliant gaze zone detection.

A real-time tracking system for Maduino with SOS and OK functionality. This project allows for GPS tracking and sends notifications via HTTP requests when SOS or OK buttons are pressed. This repository includes code for initializing the Maduino module, handling button presses, and sending HTTP requests for tracking data and emergency notifications.

AI-powered PPE detection system with face recognition and Arduino-controlled access using stepper motor and LEDs.

Train safety system simulated in a web environment.

🚲 PedalAI — An AI-powered cyclist safety system using YOLO, Optical Flow, Face Mesh, and real-time sensor data to detect threats, prevent accidents, and alert riders in real-time. Features drowsiness detection, fall alerts, and predictive maintenance with mobile app support.

This project is a fire alarm and sprinkler system developed to detect fire risks early and provide rapid intervention. The system is controlled by NTC sensors, a buzzer, a submersible water pump, Arduino, and L298N motor driver. Future plans include IoT integration and remote control features.

🏎️Arduino safety system for eKarts/go-karts with obstacle & overheat alerts, FSM ignition, GPS tracking, SMS notifications, and visual/audio warnings.

The live fire and smoke classifier is developed using Pytorch and Opencv that are trained using the 3 Channels images of fire, smoke and neutral environments. Achieving 75% accuracy, the model accurately identifies these elements in various scenes

Intelligent crane safety-assist system integrating distance sensing, real-time camera monitoring, and scalable hardware architecture.