AI for manufacturing is one of the most futuristic buzzwords in the technology industry. We are already witnessing the rise of artificially intelligent machines which can replace workers in all types of factories. These machines are designed to work independently without asking for instructions from humans. They can work in all areas of a factory and perform the tasks that regular robots can’t. This is called the “robot-plant” concept and it’s one of the biggest innovations to come along in many decades.
The machine vision of artificial intelligence in robotics and industrial automation will revolutionize the way we do business in the future. It will allow us to leverage existing factory robots to help speed up the production process, prevent human error, make more money, and lower costs. If you think about it, without automation, it would be very difficult for manufacturers to stay competitive. In fact, they would go out of business, as there would be no way to produce their products at a reasonable price.
One exciting idea is to use the deep learning approach in digitalization of manufacturing process optimization. By modeling the data captured by the digital camera, it will be easy to train the machine vision algorithms to be accurate and precise. The cameras will be used for quality control testing and to capture images of things like flow lines, line holes, product inspection boxes, and other things that can affect the quality of the final product. This will enable manufacturers to improve their designs and reduce manufacturing cycle times, because they won’t have to train their robots as much.