Automation refers to the process in which machinery, equipment, system or process (production and management process) are actively detected, processed, analyzed, judged and controlled to achieve the desired goal, without the direct participation of any or fewer people, according to the requirements of human beings. In the past, people put forward the initiative, most of them think that it is a skill which is transformed from manual operation to manual operation through the operation of machinery. With the popularization and application of the initiative, people begin to find that in practice, the initiative is not only a simple change of operating tools, but also a comprehensive replacement of human physical and mental work, and can actively operate. Nowadays, the automation of machine vision “joining” has made the initiative an independent and complete system, and has also increased the application field of machine vision skills.
We know that machine vision system mainly includes light source, lens, high-speed camera, picture acquisition card, picture processing software and so on. Its skill principle is to use its own equipped sensing vision machine to realize the visual recognition function of human eyes. If we say that before in people’s understanding, initiative has both hands and brain, now because of the machine vision “joining” initiative behavior, it can be said that it is for the initiative skills and equipped with eyes. A machine with brain, eyes and hands is capable of replacing human resources and completing tasks on its own initiative.
The substitution of manual detection after machine vision “joining” initiative is the result of the general trend. Why? We analyze it in the following three aspects:
First of all, manufacturers are facing the situation of difficult recruitment and high salary requirements. They need to spend more and more on the labor force. Active skills can be considered that manufacturers save a lot of manpower requirements.
Secondly, the unique non-touch initiative detection skills of machine vision increase the security and reliability, and can also be greatly improved for some requirements in harsh environment.
For example, in the welding profession, the welding profession is the central profession related to industrial production and protection services. The current situation of China’s welding profession is: manual welding is the main, less active welding, low power, low quality, poor working environment. The demand for welding profession in contemporary society and industrial development is high quality, high power, high cost performance and safety. In response to this requirement, different enterprises have introduced the use of machine vision skills in the field of active welding. In the meantime, Hunan Ketianjian Photoelectric Skills Co., Ltd. introduced a high-speed welding seam marking calibration system based on structured light. The system was completely developed by Ketianjian Company independently. It investigated and absorbed mature practical skills from Europe and the United States and planned and customized according to the current situation of domestic welding initiative, so as to facilitate the development of existing welding machinery and equipment. Line optimization promotion. Based on the classical structured light principle, the system achieves the goal of non-touch, anti-interference, high precision, high sensitivity, high adaptability and high-speed measurement after optical path reconstruction. The system can replace the existing manual welding operation to avoid human error, reduce labor costs and material loss costs, and provide standardized 24-hour welding operation. It is suitable for operation in many environments with high temperature, high radiation, large amount of dust and other potential safety hazards and health damage. Compared with the program-controlled active welding, which is widely used in domestic practice, the system not only improves the flexibility and adaptability, but also integrates with the original program-controlled active welding, enhances the welding quality or provides the check function of welding results, so as to achieve the goal of upgrading the overall system.
Finally, machine vision can acquire information quickly and process information simply and actively, which greatly improves the output power, the degree of initiative and the ability of information integration.
To sum up, when the industrial situation and demand conflict, transformation is imperative. Therefore, machine vision “joining” automation, and its application will become more and more popular.