PCB AOI Automatic Inspection System Optical Principle Image Analysis

AOI Devices with Optical Principle Image Analysis Automatic Inspection System

System features

Product Background

The full name of AOI is automatic optical inspection, which is a device based on optical principles to detect common defects encountered in welding production. AOI is a new type of test technology that has emerged in recent years, but it has developed rapidly. Many visual inspection equipment manufacturers have launched AOI test equipment.

During automatic detection, the machine automatically scans the PCB through the camera, collects images, and compares the tested solder joints with the qualified parameters in the database. After image processing, the defects on the PCB are checked, and the defects are displayed/marked through the display or automatic sign. , for maintenance personnel to repair.

Equipment advantages

With the rapid development of AOI visual inspection today, automatic optical inspection (AOI) is an effective inspection method for industrial automation, and gradually replaces traditional manual inspection, and is widely used in LCD/TFT, transistor and PCB industrial processes. It effectively detects placement quality, solder joint quality, etc.

By using AOI as a tool to reduce defects, find defects early in the assembly process and avoid sending defective products to the final assembly process, it will reduce repair costs and avoid scrapping of non-repairable circuit boards, reducing costs for manufacturing companies and It ensures the stability of product quality and improves product competitiveness.

Mechanical part

The mechanical part is the core component of the system, which carries all the transmission devices and electronic hardware (industrial cameras, light sources, industrial computers, touch screens, electrical boxes, etc.). The conveyor is controlled by a servo motor, and the image capture is accurate. The equipment is equipped with two defective product inlets to separate serious defective products (such as drum bottom, oblique leather tip, etc.) and general defective products.

1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training.

2.Dataization: Independent database, save multiple samples, analyze non-good products, and retain history.

3.Multi-orientation: 360 ° comprehensive inside and outside the sampels

4.High precision: detection accuracy can reach 99%.

5.Modularization, can flexibly increase or decrease the detection function according to customer actual needs.

6.Easy to operate: It is easy to operate and easy to maintain.

7.Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment.