小优智能科技有限公司成立于2015年底,是一家专注于高精度3D机器视觉模组研发、生产及销售的高科技企业。
公司自主研发的3D机器视觉模组采用激光/DLP白光编码光栅结构光+双工业相机方案,还原物体三维信息,广泛应用于消费电子领域、工业领域和安防领域,具有精度高、速度快、成本低的优势。
A brief discussion on the application of machine vision
1. The concept of machine vision
Vision is a powerful way of perception for humans. We use vision to quickly and conveniently obtain a lot
of information about the surrounding environment. Giving visual perception to machine systems is machine
vision. With the rapid development of artificial intelligence today, the technology of converting electronic
devices into image signals has also matured. Now, the application of machine vision can be realized by
simply abstracting various target features from image signals through artificial intelligence analysis,
calculation and processing.
2. Application scenarios of machine vision
Industrial inspection applications
In industrial inspection, the outstanding advantages of machine vision, such as non-contact, fast speed,
appropriate accuracy, and strong anti-interference ability on site, have been utilized, making machine
vision technology widely used and achieving huge economic and social benefits.
It has been widely used in plate processing inspection, glass substrate surface inspection, PCB surface
inspection, metal surface visual inspection, diode substrate inspection, printed circuit board defect
inspection, and automatic identification of weld defects.
The use of machine vision in industrial inspection can improve the flexibility and automation of production.
On the one hand, machine vision can be used in some dangerous working environments or occasions
where artificial vision cannot meet the requirements; on the other hand, in large-scale industrial production
processes, machine vision inspection can greatly improve production efficiency and the degree of
intelligence of production.
Image recognition
Image recognition, in simple terms, is the use of machine vision to process, analyze and understand
images, and identify a variety of objects and targets. It is very powerful. Currently, the main content to be
identified is various targets such as people and vehicles. In the industrial field, there is often a need to
identify logos with clear information, such as OCR, one-dimensional codes, and two-dimensional codes.
Identifying signs that clearly indicate information can help improve production efficiency and reduce production costs. Most commercial scenarios for image recognition are still in the blue ocean, with potential yet to be developed.
Positioning and measurement
Using machine vision to locate parts or products, this positioning application often assists robots or other
actuators to achieve related actions. Generally speaking, positioning can assist robots to achieve actions
such as painting, gluing, grasping, welding, etc.
The application of machine vision in measurement is mainly used to measure the size of parts and various
products. In addition to using industrial cameras for two-dimensional size measurement, three-dimensional
size measurement can be achieved using technologies such as structured light and 3D TOF. It provides
high-precision monitoring of the basic characteristic dimensions and assembly effects of products.
The application of machine vision in industrial positioning and measurement, on the one hand, reduces
labor costs, and on the other hand, the positioning and measurement of machine vision have
high-precision characteristics, which improves the yield rate of industrial finished products.