Bolt detection: Datasets & Models
Automated bolt detection using computer vision to locate and count bolts on assemblies, fasteners on machinery, and hardware on production lines. Built for manufacturing quality control where missing or misaligned bolts must be caught before parts ship.
Bolt detection
This bolt detection workflow uses an object detection model to locate and count bolts in images and video frames captured from production lines, inspection stations, and assembly cells. It identifies individual bolts, separates them from nuts and washers, and returns bounding box coordinates and per frame counts so missing or misaligned fasteners can be flagged before parts ship.
Try it out
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Why automate bolt detection
Manually verifying that every bolt is present, seated, and correctly positioned is slow, error-prone, and hard to sustain at line speed, especially across high-volume production runs. A single missing or loose fastener can trigger warranty claims, recalls, or safety failures downstream. Automating bolt detection with computer vision gives you consistent, frame-by-frame verification that never fatigues, catching defects at the point of assembly rather than after the product leaves the plant. It also produces an auditable visual record for every inspected part.
Key benefits
Teams get faster, more repeatable inspection with fewer escaped defects, and the model works with the cameras and lighting you already have on the line. Because detection runs at the edge or in the cloud, the same workflow scales from a single inspection station to dozens of cells across multiple sites. The recommended RF-DETR architecture offers strong accuracy on small, densely packed fasteners while remaining practical to deploy in real production environments.
How to use it
- Upload an image: Drop any photo into the widget above to try bolt detection for free, right on this page.
- Preview instant results: The model detects bolt, nut, washer, screw, threaded hole 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 bolt 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 bolt detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Bolt Detection project to Roboflow Agent.