The triple pressure of "demand contraction, supply shock, and expectation weakening" is superimposed, and the development and survival of the manufacturing industry is difficult under the interference of the epidemic, forcing many industries to enter the "hibernation" state in advance. Under this chill, machine vision is like a winter fire, which gives industrial manufacturers hope again.
Machine vision is a big business opportunity for investors
According to the data provided by the high-tech robot, the proportion of machine vision financing still accounts for a large proportion. Taking financing as an example, the size of China's machine vision market in 2021 is 13.816 billion yuan, which does not include the size of the computer vision market, an increase of 46.96%, and 43 investment and financing cases in China's machine vision industry in 2021, involving investment and financing funds of 4.679 billion yuan.
Development status of machine vision recognition
The visual recognition of the machine has grown rapidly in recent years in China, giving the ability of machine vision recognition, which can reduce product failures and improve the quality of the production line for the manufacturing industry. Machine vision is the ability of a machine to acquire an image, evaluate it, parse it, and then react to it. Smart cameras, image processing, and software are all part of the vision system, and machine vision technology can upgrade the manufacturing industry in many ways due to continuous advances in imaging technology, smart sensors, embedded vision, machine and supervised learning, robotic interfaces, information transfer protocols, and image processing capabilities. Machine vision improves product quality by reducing human error and ensuring that all goods on the production line can be accurately checked for quality.
The Maida Instant series, launched by Dolphin Intelligence, transforms and upgrades traditional welding robots to visually recognize scanning workpieces, ensuring accuracy while also improving efficiency and reducing human operation.
Many people will ask, obviously people can weld well soon, why do you want to use the machine to scan and then weld, the accuracy can be guaranteed?
So let's go through the differences between human vision and machine vision.
Human visual recognition accuracy can not reach the high precision level of machine vision, can not see fast moving targets, can only distinguish 64 gray levels, can not see small targets, poor adaptability to temperature and humidity, and the human eye can not adapt to some harsh environments. The machine vision shutter time can reach 10μs, the camera frame rate can reach 1000fps, the processor speed is fast, and the targets from small to micron to celestial bodies can be observed, and the environment is adaptable.
It can be seen that compared with human vision, the indicators of the human eye are inferior. The reason why humans can coordinate the body functions to complete a series of operations is that the human brain can coordinate and have the ability to think independently in the face of complex environments. Therefore, Dolphin Intelligence is committed to giving the machine the ability to make independent decisions while giving vision, so that the welding robot can judge and react independently of people under various problems.