Roboflow for Manufacturing

Improve Product Quality and Worker Safety

From predictive maintenance and package inspection, to reducing defects and improving worker safety, computer vision is supercharging the manufacturing industry

Defect Detection

Track and Trace

Safety Compliance

Gauge Reading

Produce a Trained Model in Hours, Not Weeks

Roboflow seamlessly integrates with the most popular labeling services and training tools

Speed Up Production Lines

Harness computer vision to quickly detect product and packaging defects. By minimizing recalls and improving product quality, computer vision can help you boost your bottom line.

Robotics + AI + Computer Vision

By combining computer vision with the power of artificial intelligence and robotics, we can help manufacturers utilize machines to pick, place, assemble, and provide quality control.

Continuously Improve Your Model After Deployment

As a centralized management tool for your datasets, Roboflow allows you to deploy your model and scale it as you collect more data. Easily detect and categorize types of defects, adjust configurations, and experiment with different labeling and training services.

Improve Model Quality With Less Data

Roboflow is specifically designed to create more accurate computer vision models using fewer images

Static Crop

If activity only occurs in a portion of the camera frame, you can crop your images to only show the active areas. This can dramatically speed up training time by cutting out excess pixels.

Augmentations

Generate augmented versions of your source images to simulate different lighting conditions, camera angles, or contrast setting. Create more training data without uploading more images.

Version Control

Dataset versions allow you to conduct rapid experimentation with various labeling and training tools. Adjust settings, generate export, and go.

Advanced Health Check

Helpful charts that provide insight into the quality of your dataset and how to improve it, including a breakdown of class balance, dimension insights, and an annotation heat map.

Increase Production While Decreasing Errors