Metal Sheets Quality Inspection Machine With Industrial Computer Equipment

Metal Sheets Quality Inspection Machine With Industrial Computer Equipment

It is used for the detection of metal edge size. The system adopts imported resolution I-industry camera, which can quickly obtain product images. Through image recognition, analysis and calculation, the product edge size is given, and the corresponding detection pass/fail signal prompt is output, so as to facilitate Equipment handling of defective products.

Inspection principle

The metal dimension measurement automatic positioning system developed by KEYE Vision System Co., Ltd. based on machine vision image processing technology has the characteristics of high precision, high speed and multi-sample. The main modules of the system are: trigger module and guide module. According to user needs, due to the need to detect the length, width and thickness of the product. However, the detection of three sizes cannot be completed in one station, so double-station detection is required to complete the detection requirements. The sample is moved to the detection position, the camera is triggered, and the detection signal is output to the vision system in time to complete the detection function.

System design

The detection system mainly includes: camera, lens, light source and image processing software. After the light source illuminates the sample that reaches the detection position, the imaging system composed of the camera and the lens captures it. When the camera receives the trigger signal, the imaging system takes a picture of the sample and transmits the image to the image processing system for identification and judgment. Whether it is qualified, and output the corresponding OK/NG signal,
for subsequent processing.

Main functions of visual inspection

1. The inspected product is synchronized with the image obtained by the camera;
2. Identification and measurement of metal dimensions;
3. Need to learn and test different product types with different specifications;
4. Like automatic storage, historical query can be performed;
5. Classification(Good, bad, total, etc.);
6. Provide sound and light alarms, and control equipment shutdown;
7. Communication and docking of equipment or mechanical devices to classify good and bad products;
8. Learning function, and the learning process is easy to operate.

Main technical features of the system

• The operation interface is clear and clear, simple and easy to operate, and the detection can be automatically performed with a simple setting;
• The detection software and algorithm are completely independently developed, and the system is highly targeted;
• The detection template and detection range can be set flexibly;
• The local detection function can be selected to improve the detection speed;
• Professional light source design, clear and uniform imaging, to ensure the completion of measurement tasks;
• Supports the measurement of various types of products, and has functions such as automatic product online search;
• Simple installation; compact result, easy to operate, maintain and expand;
• High reliability, stable operation, suitable for various field operating conditions.
• PC platform, the system has strong scalability, and other functions can be extended based on the EMVP machine vision software platform.

Our advantages

Sorting system

According to the judgment result of visual inspection and the preset logic switch, the industrial control PLC notifies the solenoid valve to carry out sorting. The sorting action is realized by the blowing nozzle, and the rejected unqualified materials will be respectively stored in the recycling box.

Vision module (camera, lens, light source)

The visual inspection system mainly includes: camera, lens, light source and image processing software. After the light source illuminates the sample that reaches the inspection position, the imaging system composed of the camera and the lens captures it. When the camera receives the trigger signal, the imaging system will detect the sample. Take pictures and send the image to the image processing system for identification, judge whether the sample is qualified or not, and output the corresponding OK/NG signal for subsequent equipment processing.