From manufacturing flaws to cracks in infrastructure, the Chooch AI platform offers defect detection across a wide range of use cases on the edge and in the cloud.
Adding defect detection to your visual inspection processes requires training and deployment of AI models to edge devices.
Chooch AI provides the seamless scaling of quality controls and change detection while lower costing by reducing reliance on human vision.
Defect detection AI is now available to improve operations, save money on labor costs, and reduce the costs of defective products and infrastructure.
By identifying and correcting defects and anomalies before they leave a manufacturing facility, businesses can significantly reduce costs and expenditures related to identifying, transporting, shipping, replacing, and destroying defective items. Businesses also prevent the significant harm that defective products cause to their reputations, consumer confidence, and sales — while also reducing the chances of product liability lawsuits and additional expenses related to marketing campaigns to restore customer loyalty.
Visual AI defect detection systems can help industrial manufacturers adhere to the quality and safety standards that apply to their industries. After training a visual AI system with images of defective and defect-free products, computer vision can find such defects as cracked casings, cracked pipes, missing parts, scratched products, painting flaws, and potentially dangerous structural integrity issues — and they can do it with greater accuracy than human workers.
Consumer-packaged goods (CPG) companies can leverage computer vision solutions to identify defects and anomalies in the products they manufacture. Whether they produce food items, household goods, or toys, visual AI systems can rapidly identify safety and quality problems that a human visual inspector could miss. Visual AI systems can find anomalies related to the appearance and shape of food products. They can detect labeling errors on food and pharmaceutical goods. They can also identify broken products, painting flaws, cracks, missing pieces, and more.
Defects and other problems related to large pieces of operational infrastructure like piping, drills, and large-scale machinery can result in dangerous accidents, shutdowns, and tremendous costs and expenditures at oil drilling facilities, mines, and large industrial operations. A trained visual AI system can inspect oil rigs, large machinery, pipelines, and other infrastructure with greater efficiency, accuracy, and cost-effectiveness than human inspectors. These visual AI systems can detect signs of wear and tear, stress fractures, cracks, maintenance issues, safety concerns, and more.