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.

[Projeto Académico] Automação de uma máquina de enchimento automático de caixas, incluindo controlo de tapete, enchimento por nível/tempo, contagem de caixas e sinalização, implementado em Ladder (PLC Fatek FBs-20MC).

🚲 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.

robot-lidar-fusion is an open-source robotics stack for building autonomous systems with LiDAR and camera fusion. It provides a practical foundation for perception, navigation, obstacle avoidance, motion coordination, and safety-oriented control in real-time robotic environments.

The open-source software foundation for high-throughput end-of-line palletising cells. One codebase. Any robot arm. Any gripper. Any factory.

[Projeto Académico] Memória descritiva e justificativa do projeto elétrico e de automação de uma máquina transportadora de peças. Inclui análise detalhada de componentes (PLC, motores, pneumática), modos de operação e segurança industrial.

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

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.

🛡️ GuardianDrive AI: The Ultimate Driver Drowsiness Detection & Drunk Driver Alert System using Python, OpenCV & MediaPipe. Features Real-time Anti-Sleep Alarm, Intoxication Detection, IoT Alerts & Insurance Telematics. Production-ready for all face types. 🚀

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.

Sorority: Securing the bond between us. A decentralized trust network for women's safety, combining the unbreakable security of Rust cryptography with an immersive 3D Flutter interface.

A minimal logic model for systems that require physical confirmation of execution before state completion.

Real-time driver drowsiness detection using MediaPipe FaceMesh + CNN/BiLSTM hybrid. Detects eye closure, yawning and head pose via facial landmarks with personal calibration and audible alerts.

A high-reliability safety solution designed and simulated in Tinkercad. Features an Arduino/ESP32 logic core that integrates smoke and flame sensors with automated buzzer alerts and visual status indicators for real-time emergency monitoring.