🔴 Without a standardized process, capturing vehicle images is inefficient.
- Photos are inconsistent (wrong angles, poor alignment).
- Manual adjustments take extra time.
- Image storage is unstructured, making retrieval difficult.
- Errors occur, such as missing images or incorrect positioning.
✅ Provides a guided camera system with overlays for proper alignment. ✅ Automates image capturing & storage with timestamps. ✅ Uses keyboard shortcuts to speed up the process. ✅ Ensures structured & consistent vehicle images for AI-based analysis, insurance claims, and fleet management.
- The system detects and activates the camera.
- If no camera is found, it displays an error and exits.
- Four overlay images (
car_left.png,car_right.png, etc.) guide the user. - Each overlay helps align the vehicle correctly in the frame.
- The user presses
Spaceto take a photo. - The image is saved automatically with a timestamp.
- The overlay switches to the next required angle.
- This repeats until all four views (left, right, front, rear) are captured.
- After capturing all images, the system displays a success message.
- The user can press
Qto exit at any time. - If overlays are missing, the system skips to the next available overlay.
✔ Standardized Image Capturing – Ensures correct positioning for AI analysis. ✔ Faster & More Efficient – No manual adjustments, filenames, or sorting. ✔ Automated & User-Friendly – Works with simple keyboard shortcuts. ✔ Error Handling – Prevents incomplete or incorrect image captures.
🏠 Car Insurance – Accurate images for claim verification. 🚗 AI Damage Detection – Helps train AI models for vehicle assessment. 📸 Used Car Marketplaces – Structured images for online listings. 🏢 Fleet Management – Tracks vehicle conditions over time.
This framework ensures a fast, accurate, and reliable method for capturing vehicle images. 🚀