Each manufacturer requires certain quality control to ensure products are defect free upon delivery. This is especially true for manufacturers of small precise parts. Nowadays, automatic vision testing system is a key factor to guarantee machining quality of automatic vision testing equipment.

The visual inspection system (sometimes called the machine vision system) of the visual inspection automation equipment provides image-based automated inspection to facilitate various industrial and manufacturing applications. Although 2D and 3D machine vision systems are not a new technology, they are now commonly used for automatic inspection, robot guidance, quality control, and sorting.

The visual automation inspection system can assist the robot system to obtain the positioning of the parts to further automate and simplify the manufacturing process. The data collected by the visual automated inspection system helps improve the efficiency of production lines, sorting, packaging and other applications

The function of the visual automatic inspection system

The vision automated inspection system essentially performs a task performed by a human inspector during the manufacturing process. Replacing the human eye is a difficult task, because the geometry of the parts obstructs the line of sight, and the shadows hide defects. This limitation is more related to the design process not considering these automatic detection systems. In fact, accurate analysis may be affected by factors such as defect type, lighting, and resolution. Two variants of the inspection system of the visual inspection automation equipment are used to detect defective products on the production line. One mainly measures the size of the product, while the other checks the surface.

Visual inspection automation equipment

Measuring dimensions is a simpler task because machines are easier to design to predict probabilities. Clearly defined specifications allow the system to detect diagnostic parameters so that they can be programmed and verified using statistical methods, viewing features such as lighting or high-speed resolution. Surface inspection presents even greater challenges. Although instruction manuals tell visual inspection automation equipment inspectors what to inspect when manually inspecting parts, they do not provide sufficient guidance for software developers when creating programs that automatically evaluate these things. Developers need more guidance than human inspectors.

Operators of visual inspection automation equipment should create a defect list before developing a visual inspection system, because it is very important to classify and describe defects when developing such software. Such a catalog should not only list the defects that the system needs to detect, but also create an acceptable set of defective parts. This is necessary to ensure that the system verifies them during inspections.

What can a visual inspection system do

These smart detection systems are equipped with one or more cameras and even video and lighting. The vision system can measure the part, verify that the part is in the correct position, and recognize the shape of the part. In addition, the visual automated inspection system can measure and classify parts at high speed. The computer software processes the images captured during the evaluation you are trying to capture to capture the data. The vision system can be smart enough to make decisions that affect the function you are trying to evaluate, usually with the ability to pass or fail to trigger the operator to take action. These systems can be embedded in your production line to provide a continuous flow of information.

Compared with the human eye, the automated vision system for visual inspection has the following advantages: automated vision inspection equipment can operate under dangerous conditions, can see a wider color spectrum, will not be fatigued, higher resolution optical components, Faster, more accurate calculation, more accurate size measurement, faster image processing and other advantages.