High Performance Inline THT DIP AOI After Wave Soldering 22 Inch FHD LCD Automatic Soldering Robot

The automatic soldering machine is an automated soldering equipment that mainly uses the motion function of the robot to complete the soldering operation. The core part of the automatic soldering machine is the soldering system. The soldering system is mainly composed of an automatic tin feeding mechanism, temperature control, heating element, and soldering iron tip.

Process flow:
This process is mainly used for electronic product inspection after wave soldering.

It includes the following steps:
After wave soldering is completed, the product enters the automatic optical inspection (AOI) system.
The AOI system uses high-definition cameras and advanced image processing algorithms to conduct comprehensive inspections on welding quality.
The inspection results are fed back to the control system to automatically determine whether it is qualified.

Inspection object:
Mainly for tube leg type components (THT DIP) for inspection.
Including various indicators such as tube pin welding status, positioning accuracy, solder joint shape, etc.

Detection advantages:
Fully automated operation greatly improves detection efficiency and reliability.
Independent of manual visual inspection, avoiding the limitations of manual inspection.
The detection results are objective and accurate, and the output data can be quantified.

Application scenarios:
Widely used in automated production lines in the electronics manufacturing industry.
Applicable to various electronic products, such as PCBs, circuit boards, etc.
It can be seamlessly connected with wave soldering, plug-in and other processes to achieve fully automated production.

Technical requirements:
It is necessary to be equipped with high-precision optical imaging equipment and professional image processing algorithms.
The detection system must be closely integrated with the production line control system to achieve real-time data interaction.
It has high requirements on environmental temperature, humidity, vibration and other factors.

Specification

Features

A, Core algorithm—— Convolutional Neural Network Algorithm

Application and Innovation in industry

Human-like inspection

Better compatibility

Training algorithm model of super large sample set

High generalization

Super detection ability, lower false positive

Supporting user self-training model

B, High wear resistance

C, Large inspection area and high compatibility

D, High inspection rate and low false positive rate.

E, Marble base, more stable.

F, Dual XY linear actuators, high speed, high accuracy