At present, the most significant part to reduce manpower and improve efficiency is to import machine vision inspection system, that is to use visual system to inspect products.
With the increasing resolution of visual inspection system, combined with artificial intelligence (AI) technology, using machine vision system to detect product defects is the most commonly mentioned automatic intelligent application.
However, in addition to machine vision, if touch can be introduced into the industrial robot or robot arm in the current application, it will be the new main axis of the next wave of automatic and intelligent applications.
The sense of touch can be divided into two parts: one is the touch of external force on the equipment; the other is the touch of the machine on the feedback of force application. Due to the complexity of the tactile part of the machine for force feedback, although there are relevant attempts, there is still a long way to go before the actual application. As for the sensing of external force on the touch of equipment, it has entered the stage of commercialization.
At present, the completely unmanned automatic production line has high cost and complex construction, which is not suitable for most of the manufacturers who mainly focus on a small number of diversified flexible production. In order to achieve flexible scheduling and automatic intelligent production, it needs to be achieved by human-computer cooperation. This kind of cooperation not only reduces the cost and time of construction, but also brings visible benefits to the operators.
Tactile application will be the focus of automation and intelligent application after machine vision. Because, with the increase of automation intelligent degree, if we want to reduce the cost of automation intelligent construction, human-computer cooperation will be the best choice. Once the proportion of human-computer collaboration increases, the demand for tactile solutions like safe skin will increase significantly.
As the direct combination of artificial intelligence technology and industrial manufacturing, machine vision detection system is expected to continue to develop rapidly, and the improvement of tactile application technology will greatly promote the landing of innovative machine vision products.