🚗 Collision-Warning-System ( Dashcam-Based AI ALert)

This is a AI projects that aims to warn drivers about potential collisions using dashcam video analysis.

Objective:

To build a real-time collision alert system that analyzes dashcam footage and gives warnings like:

• ⚠️"Car CLose"
• ⚠️"Truck Close"
• ⚠️"Bus Close"
• ⚠️"Warning: Pedestrain/Bicycle"

These alerts help drivers stay cautious in complex traffic conditions.

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Designed For:

• Dashcam mounted on car windshieled
• Works even when car bonnet is partially visible
• Tested in rainy weather conditions to improve robustness

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Tech Stack:

• Python
• OpenCV
• YOLOv5(pretrained model) for object detection
• Real-time frame wise video analysis

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Current Features:

• Detect vehicles and humans from dashcam video
• Warns based on object type and proximity
• Displays alerts dynamically on the video frame
• Capable of running in moderate weather interference (e.g rain)
• Supports videos with bonnet partially in frame

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Work in Progess:

• Improving false-positive filtering using confidence level threshold and bounding box logic
• Adding distance estimation for more accurate warnings
• Planning to integrate audio alerts
• UI/UX polish and documentation underway

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Note:

this project is being improved regularly by experiementing with differentdetection strategiesand edge cases.

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Developer

Snehal Dubey (B.Tech CSE student, RTU KOta), Learning AI/ML through hands-on projects like this

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Want to Help / Collaborate?

If you are into Computer Vision, YOLO, Or AI prjoects like this, feel free to raise issues or suggest improvements. Let's make safe driving smarter together!