Quality Control With USB3 Vision Camera

Quality Control With USB3 Vision Camera

In recent years, USB3 Vision Camera has been used in various industrial applications. One of the most used applications with Vision Camera solutions is pick and place, which is moving a piece from point A to point B. A vital function in this area is inspection and quality control with Machine Vision Cameras.

One of the benefits often attributed to USB3 Vision Camera is the improvement of the production process when a Vision Camera carries it out.

New computer equipment has fundamentally changed many aspects of our lives. Clear evidence is the development of machine vision cameras, which have improved many manual tasks ranging from quality inspection to quantitative evaluation due to their repeatability and high precision.

The potential of Vision Cameras has increased with the development of new sensors, vision processing equipment, microcontrollers, and computing equipment with better performance at a lower cost.

Robotic USB3 vision camera quality control and inspection detects out-of-tolerance products early, reducing the need for rework and scrap. The systems are used to perform various tasks, including picking parts randomly oriented from a bin or conveyor, part identification, complex inspection for close dimensional tolerances, and enhanced part location and recognition capabilities.

How quality control with USB3 Vision Camera works

An artificial vision system comprises a USB3 Vision Camera, lighting, optics, software that processes images, and an automaton that performs the actions determined after identifying the objects to be inspected.

The electronic “brain” of the system evaluates the image and then acts based on the analyzed data. On the hardware front, machine vision cameras, optics, and lighting systems have advanced to capture accurate image information, even in challenging conditions. Once a viable image is captured, its pixels are assigned a numerical value. Once the software system gives numerical values to all the pixels, it looks for patterns and edges and combines that edge data to identify shapes.

This underlying software allows a vision camera system to detect and identify holes, indentations, or irregularities, as well as their precise location on a part and whether they are the correct size to pass inspection and not be discarded. In addition, due to the breakthrough of artificial intelligence (AI), with a large enough data set, artificial intelligence systems can learn distinctions without being explicitly programmed by combining machine vision and machine learning to create their quality control system.

Artificial intelligence makes it possible to apply machine vision in unconventional ways. A machine vision camera system may take thousands of lines of code to account for the many sizes and shapes, but AI algorithms can be trained to discern the difference between different shapes.

USB3 Vision Camera: quality control with artificial vision

USB3 Vision Camera can perform 3D measurements and other non-destructive tests that ensure the quality of the products reviewed. This way, defective parts can be easily identified before they are packaged or shipped. Plus, it has low running costs without the additional costs associated with programming, installation, and safety guards of traditional industrial automation.

The Vision Camera is safe to work in the same space with other people and therefore does not need a vast expanse or barriers to work. You need special protection only if you work in corrosive liquid environments. Thanks to an elegant and compact design, the Vision Camera can be installed in virtually any application for quality control, even with space constraints.

Machine Vision Camera can quickly switch between processes to perform virtually any repetitive, manual task. It is enough for a person to dedicate a few minutes initially. In addition, they can reuse programs for the most recurring tasks.