IoT and ML-Based Impact Detection and Crash Monitoring System
Original price was: ₹7,800.₹4,599Current price is: ₹4,599.
This project designs a state-of-the-art crash monitoring system using a digital crash sensor to detect and analyze impact events in real time. The system integrates with an IoT platform to enable remote monitoring, instant alerts, and cloud-based data storage, making it ideal for applications in vehicle safety, industrial machinery, and robotics.
Machine learning algorithms analyze crash data to identify patterns, predict potential risks, and assess the severity of impacts. The system provides instant notifications in case of collisions, enabling prompt response actions. A mobile app offers live monitoring, historical crash data analysis, and actionable insights to enhance safety and operational efficiency.
Key Features:
- Real-time detection of impacts and crash events with IoT-enabled monitoring.
- ML-powered pattern recognition, risk prediction, and impact severity assessment.
- Cloud integration for data storage, analysis, and reporting.
- Mobile app for live updates, alerts, and crash event insights.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an ideal solution for students exploring IoT and ML applications in safety systems and robotics.
