Rapidly identify and respond to product defects

Improve Product Quality and Worker Safety

Machine vision transforms the way to think about detecting defects. Use machine vision to keep track of product quality throughout your manufacturing pipeline. Get alerted when defects arise so you can deliver the best quality products to your customers.
Stacked boxes on pallet, with damaged box
Damaged Products

Identify damaged boxes so your customers feel confident in the quality of your product before they open the box.

Close-up of scratched car door
Scratches and Cracks

Find scratches in your product to reduce the refund rate associated with surface-level blemishes and cracks.

Dented can singled out from group of cans

Identify dents in your product as they occur in production so that damaged goods don't make their way to your end customers.

Close-up of broken ball bearing
Damaged and Broken Parts

Reduce your product return rate by staying on top of damaged and broken parts that will be used to make your product.

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.

Stay On Top of Defects

Use machine vision data to set up notifications as defects arise. By understanding when and how often defects happen, you have more information to help inform improvements to your production pipeline.

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

You don't need millions of defect images to start working with machine vision.

Roboflow is specifically designed to create more accurate machine vision models using fewer images.
Static Crop
If a defect 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.
Generate augmented versions of your source images to simulate different lighting conditions, camera angles, or contrast setting with Roboflow.
Version Control
Dataset versions allow you to conduct rapid experimentation with various labeling and training tools. Adjust settings, generate export, and start using your model in production.
Advanced Health Check
Helpful charts that provide insight into the quality of your defect dataset and how to improve it. This includes a breakdown of class balance, dimension insights, and an annotation heat map.

Ready to improve quality on your production lines?