At present, there are a large number of tasks in industry that depend heavily on the experience of workers. For example, grade classification, defect detection and other tasks, the effect of the task is directly affected by the experience of workers, such positions are also high value-added positions.
CAID is an intelligent vision detection system independently developed by Cooper, which can be applied to different tasks such as classification, positioning and detection. It aims to replace workers' experience with artificial intelligence, which can provide customers with better and more stable test results, reduce high labor costs and improve production efficiency.
CAID integrates a variety of detection algorithms, including deep learning, all of which have been tested in practice and have excellent performance. It can also be customized according to customer requirements to achieve the best balance between effect and cost
CAID can be provided to customers as a stand-alone component or integrated into other tasks as part of Cooper's overall solution.