Industrial processes are often highly automated, with conveyor belts, robots, packaging machines, etc. Sensors are also used to take measurements and make decisions.
People are often still needed to perform quality control in order to intervene if necessary. That is no longer necessary.
Image recognition and computer vision are already used in industry. They are often limited to recognizing fixed patterns within a certain bandwidth, such as circles or squares. This often doesn’t work sufficiently to recognize production errors in the process. The product itself must be identifiable first. Once that has been achieved, counting is possible and quality can be controlled throughout the entire process. Once this is done, insight into the amount of failure and immediate action can be taken if errors are found. Also automated off course.
Although computer vision has great applications in industry, it is unfortunately often insufficiently reliable or can only be used to a limited extent for an industrial application. What now ?