With the rapid development of industries such as artificial intelligence, robotics, biometrics, and the Internet of Things, machine vision technology has received more and more attention. In recent years, positive progress has been made in technological innovation and product iteration. At the same time, traditional 2D machine vision is rapidly upgrading to 3D machine vision, creating new opportunities and providing support for the development of other industries.
According to Grand View Research, by 2027, the global 3D machine vision market size is expected to reach US$3.46 billion, with an annual compound growth rate of approximately 14.7%. This data shows that the future development prospects of 3D machine vision are highly optimistic. Such a huge market will inevitably attract more heavyweight players to join the game. For existing players, it is a challenge and an opportunity.
Obviously, the strong technical value of 3D machine vision will become an important factor in promoting the continued growth of the market. Compared with 2D machine vision, 3D machine vision has significant advantages, such as fast measurement speed, high precision, strong anti-interference ability, and convenient operation. It can effectively solve the measurement conditions of height, thickness, volume, flatness, etc. of 2D machine vision. missing. Although 2D machine vision still occupies the mainstream market, the application of 3D machine vision will definitely become more and more widespread.
Taking the currently popular garbage sorting robot as an example, in order to accurately identify various items, it is obviously not enough to only use 2D machine vision. Only by using a 3D machine vision system can robots better identify and judge the height, size, color and other data of items, thereby providing a basis for decision-making for sorting and classification.
With the development of science and technology and the accelerated implementation of emerging industries, 3D machine vision will be used in more and more places in the future, and the market demand will be greater and greater. For machine vision manufacturers, now is the best time. Seizing the opportunity and further consolidating core technologies will help them gain a firm foothold and an advantage in the fierce competition that will follow.