Nowadays, flexible production becomes more urgent for industrial automation. Since 2D imaging system restricts machine vision applications due to its two-dimensional nature, applications such as bin picking, Inline inspection and dimensional measurement are already moving to 3D imaging. Advanced 3D imaging techniques have been making industrial 3D sensors smaller and smarter to be widely used in 3D printing, construction, electronics, logistics, manufacturing, and other fields.
Picking objects of different sizes and shapes is nothing difficult for people, but it is never easy for robots as they don’t have human eyes. Even a robot equipped with 2D cameras cannot pick unsorted objects, because they can’t recognize randomly placed objects. 3D cameras bring three-dimensional vision to robots, letting them not only see but also understand the shape, size and orientation of any object and pick it up from the right angle.
In manufacturing, each product needs to be tested, and 3D sensors can play a significant role in such tasks. 3D sensors acquire three-dimensional information and provide comprehensive and accurate product inspection in scenarios like PCB board detection, bottle cap detection and product defect inspection. In contrast, the traditional product inspection is often carried out by naked eyes, the disadvantages of which include not accurate enough and quite laborious, also with high error rate and high cost. Areascan and Rayscan of Revopoint offer micron-level accuracy and are driven by powerful algorithm to detect product quality.
3D machine vision technology can be used in industrial production to achieve true non-contact measurement. For example, Linescan projects blue light on products without contacting the surface. Since no contact is required, abrasion is avoided, thus the damage that contact measurement can cause to the product is also avoided. And measurement by 3D sensors has higher accuracy and speed than caliper measurement. This will be of great help to the improvement of precision instruments.