Find your anomalies, train a model, and deploy to the line with Roboflow. Commercial-safe licensing, enterprise security, and edge-to-cloud deployment in one platform.
A workflow you can run today, on the cameras and inspection stations your facility already has.
Upload line images or video frames. Use Auto Label to pre-label known defect types in minutes instead of boxing every image by hand, then correct the edge cases. For rare defects, start by collecting good-part images and flagging the deviations your team already catches.
One click trains a defect model on your data. Train a YOLO model (YOLO11, YOLO26) or RF-DETR for state-of-the-art accuracy. No separate ML team required.
Push the model to the edge, on-prem, in your VPC, or via API, on the hardware already running in the plant. Inference runs where the work happens, not in a slide deck.
Every part the model is unsure about gets routed back for review. Confirmed escapes become new training data, and the model gets sharper on your specific line over successive rounds, including on the rare defects a one-shot model would miss.
If your defects are known and you can label examples (scratches, dents, missing components, contamination, out-of-spec parts), this is supervised detection. You draw boxes, the model learns the defect, and it flags every instance on the line.
If your defects are rare, novel, or impossible to enumerate ahead of time, this is the harder case. You start from what a good part looks like, surface anything that deviates, and convert confirmed escapes into labeled training data as your dataset grows.
Most production lines need both. Roboflow runs supervised defect detectors and the data loop that turns rare escapes into training examples over time, so coverage improves on your line instead of staying frozen at launch.
Commercial-safe by license, secure by architecture, and adoptable by the whole team.
Ship on RF-DETR, released under the permissive Apache 2.0 license, with no copyleft obligations and no per-deployment license question hanging over your product. Train and export YOLO models too, in 30+ formats, and take them anywhere. No lock-in, ever.
Roboflow is a US-based platform with SOC 2 Type II compliance, encryption in transit and at rest, and an uptime SLA. Deploy on-prem, in your own VPC, or fully air-gapped, so your line images, defect data, and trained models never leave your infrastructure and never cross a border you did not choose. For regulated and sensitive production environments, your data stays where you control it.
Tools every team can adopt, from manufacturing and process engineers to quality and operations leads, with no separate ML team required to ship and own inspection models.
Run defect and anomaly models on the edge, on-prem, in your VPC, or via API, on the cameras and inspection stations your facility already runs.
Half the Fortune 100 build computer vision with Roboflow, with defect and quality models deployed in rail yards, plants, warehouses, and fields.
Trusted by teams at BNSF, John Deere, GE Vernova, Cummins, USG, Pella, Owens Corning, U.S. Steel, and Wabtec.
YOLO anomaly detection means using a YOLO-family object detection model to find defects or out-of-spec conditions in images and video. It works well when the defects are known and you can label examples, such as scratches, dents, missing parts, or contamination. The model learns each defect class from labeled data and flags every instance in real time on the line. For rare or never-before-seen defects, you start instead from what a normal part looks like and flag deviations, then convert confirmed escapes into labeled training data over time.
Upload your line images or video frames to Roboflow, use Auto Label to pre-label known defect types, and correct the edge cases. One click trains a defect model on RF-DETR or a YOLO model. You then deploy to the edge, on-prem, in your VPC, or via API, on the hardware your plant already runs. An active learning loop routes uncertain parts back for review so the model keeps improving on your specific line.
Yes. RF-DETR is released under Apache 2.0, a permissive license with no copyleft obligations, so you can build it into commercial and embedded products without a separate per-deployment license. You can also train and export YOLO models in 30+ formats and take them anywhere. Your data and models stay portable and yours.
Roboflow is a US-based platform with SOC 2 Type II compliance, encryption in transit and at rest, and an uptime SLA. You can deploy on-prem, in your own VPC, or fully air-gapped, so your line images, defect data, and trained models never have to leave your infrastructure. Inference integrates with line systems over REST, MQTT, and OPC UA, and pass/fail results can drive PLC-level actions.
Find your anomalies, train the model, and ship it to the line. Stop defects from becoming recalls.
Ask the Roboflow assistant about building, training, and deploying your defect model.
Learn how teams add a real-time inspection layer with computer vision.
See how to build a defect-detection workflow end to end.
Explore deployment patterns and proof across plants.
