π΄ 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.
β Provides a guided camera system with overlays for proper alignment. β Automates image capturing & storage with timestamps. β Uses keyboard shortcuts to speed up the process. β 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.
β Standardized Image Capturing β Ensures correct positioning for AI analysis. β Faster & More Efficient β No manual adjustments, filenames, or sorting. β Automated & User-Friendly β Works with simple keyboard shortcuts. β Error Handling β Prevents incomplete or incorrect image captures.
π Car Insurance β Accurate images for claim verification. π AI Damage Detection β Helps train AI models for vehicle assessment. πΈ Used Car Marketplaces β Structured images for online listings. π’ Fleet Management β Tracks vehicle conditions over time.
This framework ensures a fast, accurate, and reliable method for capturing vehicle images. π