Post by Naveenkaran R S

🚗 Edge AI-Based Driver Emotion Recognition and Adaptive Vehicle Control System 🔍 Problem We Identified Driver emotions such as stress, aggression, and fatigue can significantly affect driving performance and are major contributors to road accidents. Traditional vehicle systems cannot understand the driver's emotional state, making it difficult to prevent unsafe driving behaviors. ✅ Solution We Developed To address this challenge, we developed an Edge AI-Based Driver Emotion Recognition and Adaptive Vehicle Control System. The system uses DeepFace and OpenCV to analyze the driver's facial expressions in real time and classify emotions such as Calm, Aggressive, and Fatigued. Based on the detected emotion, an ESP32 controller automatically adjusts vehicle speed and triggers an emergency stop when fatigue is detected, helping improve road safety. ✨ Key Features Real-time emotion recognition Adaptive vehicle speed control Fatigue detection with emergency stop Live monitoring dashboard Edge AI-powered decision making 🛠️ Technologies Used Python | DeepFace | OpenCV | ESP32 | Embedded C | CAN Protocol | HTML | CSS | JavaScript | Edge AI | Computer Vision A big thanks to my teammates Harishkumaran V Deepak Moorthi for their valuable contributions and teamwork throughout this project. #EdgeAI #ArtificialIntelligence #ComputerVision #DeepFace #OpenCV #ESP32 #EmbeddedSystems #Python #IoT #RoadSafety #SmartVehicles #MachineLearning #Engineering #FinalYearProject #Innovation

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