In modern manufacturing facilities, machine vision systems are at the heart of quality assurance processes. You can use cameras and software to ensure hardware on your assembly line meets your standards for quality. You can measure objects, identify attributes or defects, identify products whose color is not correct, and more.
Over the last few years, computer vision techniques have expanded and simplified ways to use machine vision. Computer vision techniques use deep learning to identify properties in objects. You can identify product defects, identify key points in an image, and classify images. You can build your own ontology to identify exactly the defects that affect your products. All of this is done using machine learning which gives you more flexibility than rules-based traditional machine vision methods.
Once you have a computer vision solution in place, you can integrate it with your business logic. You can automatically reject products that display a defect or track what machines result in higher incidence rates of defects or identify when no products are present on an assembly line, indicating a fault.
Reduce manual inspection time by 80%, cut defect rates by up to 40%, and deploy AI-driven vision solutions 5x faster than legacy systems with Roboflow. To learn more about mitigating scrap and rework, saving on equipment costs and eliminating customer warranties, get in touch with our AI experts today.
