Road Sense

Real time object detection and lane detection for autonomous cars using YOLO (You Only Look Once) and ultra-fast lane detection techniques.

🔑 Key Feature

• Automated custom object detection
• Automated lane detection
• Can work in real time on low quality webcams

💻 Sample Output

Custom Data labelling:

Working on Dashcam:

Working on 1080p footage in realtime:

🛠 Skills

Python , Computer Vision , Deep Learning , Yolo models, Cutom dataset creation for object detection.

📖 Libraries Used

Yolo, OpenCV, TensorFlow, PyTorch, and CUDA

📃 Lessons Learnt

• Learning to label a custom dataset for object detection
• Creating a real time object detection system
• Coupling real time object detection with lane detection
• Code optimization

🔮 Future Scope

• Connecting code to IOT device thats attached to a dashcam
• Creating a plug and play, smart dashcam device