Spot damage, scratches, cracks, dents, or missing pieces as small as 0.01% of an image. Detect unforeseeable defects that differ in shape from previously collected examples. V7 allows developers to turn images and video of your defects into state of the art vision AI with semi-automated tagging, model training, and inference deployment. Get started today by automating the detection of anomalies in your production line or manufacturing process, and bring the growing value of AI to your supply chain.
Hover over the image below to see what the AI identifies
Dolores voluptatem quam. Voluptatem voluptas quisquam iste impedit cupiditate. Occaecati natus illum enim. Totam fa
Corrupti consequatur doloremque eligendi ipsum expedita ut quia. Non illum rerum est vitae dolores eveniet odio a. Rerum do
AI performance shouldn't stop at the first training session.
Sync your product with a dataset and continually improve your AI performance by turning its output into new ground truth. Continual learning will allow your models to surpass 95% accuracy barriers and reach 99% and above as more data from your use case or product is supervised by humans, and learnt by your AI.