Case Study 3
Project Overview
The project focused on developing an intelligent road incident detection system that uses live video feeds to monitor highway conditions in real-time. The system detects a variety of incidents, such as accidents, stationary vehicles, animals on the road, and other obstacles, and alerts highway patrol units via a centralized dashboard. This enables faster response times and enhances road safety by providing immediate notification to authorities when an incident occurs.
The Challenge
- Multiple Incident Types: The challenge was training the model to accurately detect a wide range of incidents, including accidents, animals, and stationary vehicles, which require different detection strategies.
- False Positives: Reducing false positives was crucial, as incorrect incident alerts could result in unnecessary deployments of patrol units, wasting resources and causing confusion.
- Real-Time Analysis in High Traffic Scenarios: Ensuring consistent performance in real-time video analysis, particularly under high-speed and high-traffic conditions, where incidents may occur suddenly and in crowded settings.
The Solution
- Computer Vision and Object Detection: Used advanced object detection models such as YOLO (You Only Look Once) or Faster R-CNN to detect and classify different types of incidents in live video feeds.
- Dashboard Integration: Developed a centralized dashboard using web technologies (Flask, React) for highway patrol units to monitor the detected incidents in real time, providing a user-friendly interface for efficient monitoring and decision-making.
- Alert System: Implemented a real-time alerting system that sends notifications via SMS or radio to patrol units, ensuring they receive immediate information about incidents as soon as they are detected.
The End Result
- Enhanced Road Safety: The incident detection system improved highway monitoring by enabling faster response times, which helped reduce the impact of incidents and prevent further accidents.
- Efficient Resource Utilization: The reduction in false positives ensured that highway patrol units were dispatched only when necessary, optimizing resource use and response efficiency.
- AI-Driven Road Safety: The system showcased the potential of AI in enhancing road safety, demonstrating how real-time incident detection and alert systems can reduce emergency response times and improve public safety on highways.
