Smart ML-Enhanced Pedestrian Detection and Safety System with LiDAR for Urban Crosswalks
Original price was: ₹12,500.₹9,500Current price is: ₹9,500.
This project develops an advanced pedestrian detection and safety system designed to improve urban crosswalk safety using LiDAR technology and machine learning. The system uses LiDAR sensors to scan crosswalks and surrounding areas, identifying pedestrians and detecting potential risks in real time. Data is transmitted to a cloud platform for remote monitoring and immediate analysis.
Machine learning algorithms process the data to predict pedestrian movement, detect obstacles, and assess traffic conditions. The system generates real-time alerts to notify pedestrians and drivers of potential safety hazards, helping prevent accidents. This solution is ideal for city planners, traffic management authorities, and transportation agencies seeking to improve pedestrian safety and reduce traffic-related incidents at urban crosswalks.
A mobile app integrates with the system to provide real-time safety alerts, traffic updates, and pedestrian status, ensuring smoother and safer pedestrian movements.
Key Features:
- Real-time pedestrian detection using LiDAR and IoT connectivity.
- ML-powered movement prediction, obstacle detection, and safety alert generation.
- Cloud-based data storage for continuous monitoring and reporting.
- Mobile app with live updates, safety alerts, and pedestrian status notifications.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an ideal project for students interested in IoT, AI, and transportation safety solutions.
