Post by Aayush Sardana
UG @ NITJ (ICE) | β’ Instrumentation and Control Engineer β’ Embedded C β’ Automation β’ Seeking embedded Intern | βA Burning Heart Is All One Needsβ
π Turning Dashcam Footage into Driving Insights with Computer Vision I recently built an AI-Powered Driver Behavior Analysis System that analyzes dashcam footage and automatically evaluates driving performance using computer vision. The goal was to explore how much meaningful information can be extracted from a simple road video. Can a system identify lane discipline, detect risky driving behavior, and generate actionable insights without any additional sensors? Using OpenCV and Python, the system detects lane boundaries, estimates the vehicle's position within the lane, and continuously tracks lateral deviation throughout the drive. By analyzing movement patterns over time, it can identify swerving behavior and automatically log significant driving events. One of the biggest challenges was dealing with noisy lane detections. To improve reliability, I implemented length-weighted lane estimation, temporal smoothing, and confidence-based validation across multiple frames. This significantly reduced false event detections and made the analysis more robust. The pipeline then converts the raw driving data into a structured report containing: β’ Driver score (0β100) β’ Letter grade (AβF) β’ Lane stability metrics β’ Driving event history β’ Performance breakdown and statistics Tech Stack: Python β’ OpenCV β’ NumPy β’ Computer Vision β’ Hough Transform β’ JSON Analytics β’ ReportLab This project was a great opportunity to work on a problem inspired by real-world ADAS systems while gaining hands-on experience in computer vision, signal processing, event detection, and automated reporting. Future improvements could include: β’ Road curvature analysis β’ Driver attention monitoring β’ Real-time performance scoring β’ Machine Learning-based risk prediction β’ Edge deployment on embedded platforms Dataset Acknowledgement: Driving footage sourced from the Kaggle "Video File for Lane Detection Project" dataset. Kaggle Dataset - Video File for Lane Detection Project #ComputerVision #OpenCV #Python #MachineLearning #ArtificialIntelligence #EmbeddedSystems #SoftwareEngineering #DataAnalytics #EngineeringProjects #StudentDeveloper