When we think of "AI" we think of artificial intelligence, and we habitually equate AI with artificial intelligence, but in fact, AI is not strictly speaking artificial intelligence, it is the science of making intelligent systems and intelligent machines, and much of cognitive computing and AI revolves around replacing the human mind and creating systems that can do human work better. The greatest opportunity for AI technology is in augmenting humans.

 

      AI therefore does not refer to artificial intelligence alone, but to augmented intelligence. At its best, it is the use of parts of AI to mimic the functions of the human brain, rather than mimic, or even replace, human thinking or human consciousness.

 

      As the cost of labour in China increases, more and more parts of the industrial chain (such as the mobiles phones industry chain) are actively or passively introducing automated production models, which provides excellent industry soil for AI to enter the industrialisation chain and attracts more and more equipment manufacturers to invest heavily in the AI automation upgrade wave.

 

      The vast majority of AI applications in industrialisation are related to machine vision technology. Investors are eager to educate and train in vision processing on automated production lines using neural network software to obtain movement and quality data ready to increasingly replace the manual part of the operation.

 

      Currently, the relative simplicity of the processing in the artificial intelligence application part of the operating action allows the use of more sophisticated vision processing software to educate and train the equipment, thus obtaining good results in a short time and rapidly replacing the operator's work. Thus, in the industry, equipment manufacturers can essentially complete the production company's product, process and action breakdown information, while industry companies simply passively accept the benefits of automated equipment. However, in addition to measurable physical parameters in the quality inspection, which can be independent or integrated in the visual processing part of the operation and can be accomplished by mechanical movements, the visual inspection part is also related to optical information, especially to human visual perception in the optical inspection part, and the development of artificial intelligence applications in the industry has been extremely slow.

 

      The lack of AI functionality in the optical inspection part of human visual perception is one of the most difficult aspects of the entire smart manufacturing technology. In fact, this is the main reason why the international consumer electronics industry has been rapidly moving to China in recent years. In addition to the low labour costs in China, product quality control in the consumer electronics sector rarely involves the optical inspection part of human visual perception. In particular, electronic products equipped with touch display devices require a large number of skilled employees in the external inspection to support the scale of multi-billion dollar annual production capacity. In a sense, only China can currently meet the massive demand of the global market in this regard.

 

      With the continuous development of artificial intelligence and the deepening of machine vision, artificial intelligence will increasingly penetrate into industrial machine vision in the future, bringing greater breakthroughs to industrial manufacturing and bringing faster and more refined production for enterprises, production efficiency will be further improved and product quality will be greater guaranteed.