Windshield crack detection: Datasets & Models
Automatically detect cracks, chips, and other damage on vehicle windshields from images using object detection. Useful for inspection lines, insurance claims, and fleet maintenance.
Windshield crack detection
This windshield crack detection workflow runs object detection on windshield images to locate and classify glass damage, drawing bounding boxes around each defect it finds. It detects cracks, chips, and star breaks from inputs such as inspection line cameras, mobile phone photos, or drive-through scanning station captures.
Try it out
Powered by general detection model
Run on custom image
Drop an image here or click to upload
Why automate windshield crack detection
Manual windshield inspection is slow, inconsistent, and dependent on the experience of the technician or claims adjuster performing it, which leads to missed hairline cracks and disputed assessments. Automating crack detection with computer vision gives every vehicle the same repeatable evaluation, speeds up intake at repair shops and dealerships, and produces documented evidence for insurance and warranty decisions. In automotive service and fleet operations, this means faster throughput and fewer overlooked defects that grow into safety hazards.
Key benefits
Teams get consistent, documented damage assessments that reduce inspection time and support faster repair-versus-replace decisions. The model runs on images from existing inspection cameras or mobile phones, so it slots into current workflows without new hardware, and it scales from a single service bay to a multi-site fleet inspection program.
How to use it
- Upload an image: Drop any photo into the widget above to try windshield crack detection for free, right on this page.
- Preview instant results: The model detects crack, chip, star break, windshield, glass shatter within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for windshield crack detection
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for windshield crack detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Windshield Crack Detection project to Roboflow Agent.