Solder Joint Inspection Solder Joint Inspection

Solder Joint Inspection

Movement method: Five-axis visual positioning
Feeding mode: Automatic loading and unloading
Material feeding method: Double speed chain line
Welding method: Spot welding, drag welding
Heating module: WELLER 200W welding module【Optional WELLER 150/high power 400W/600W/800W】
XYZ  module: Closed loop motor
Workbench: Flip horizontally 180°
Speed: (XYZ)650mm/s R:180°/s
Controller: PC regulation
Program recording mode: The theoretical value is infinite
Mode of motion: Five-axis rectangular coordinates
Air pressure: 0.6~0.9Mpa
Power supply: 100~240V
Working temperature: 0~40°C
Humidity: 20~90%
Applicable tin wire diameter: 0.4~1.2mm

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Product Description

YODA Solder Joint Inspection
The main technical route of solder joint inspection is quantitative defect inspection, which can detect whether there is welding, cold welding, short circuit, Solder bridge, solder insufficient, excessive solder,solder projections,etc. 
It can calculate the arc, volume and tip height of solder joints.

Technical parameter

 
Model 331RA 441RA
Itinerary
(other itineraries can be customized)
X-axis 300 400
Y-axis 300 400
Z-axis 100 100
R-axis 360°
X-axis 30°
Repeat accuracy X,Y,Z-axis ±00.02mm
R,A-axis ±0.02°
Movement method Five-axis visual positioning
Feeding mode Automatic loading and unloading
Material feeding method Double speed chain line
Welding method Spot welding, drag welding
Heating module WELLER 200W welding moduleOptional WELLER 150/high power 400W/600W/800W
XYZ  module Closed loop motor
Workbench 180° Flip horizontally 180°
Speed (XYZ)650mm/s R:180°/s
Controller PC regulation
Program recording mode The theoretical value is infinite
Mode of motion Five-axis rectangular coordinates
Air pressure 0.60.9Mpa
Power supply 100240V
Working temperature 040°C
Humidity 2090%
Applicable tin wire diameter 0.41.2mm
 

Technical Features

AI deep learning, solder joint inspection technology
                        solder joint inspection technology
Five-axis visual positioning        
MARK point visual positioning is used to support XYZRA five-axis position offset calibration, greatly improving the versatility of the equipment.    
Solder Joint Inspection Technical features
The cognitive visual inspection technology used in the inspection system integrates industrial robot control technology, high-speed industrial photography technology, computer vision technology, AI algorithms based on deep neural networks, and machine learning technology.Through standardization, automation, and intelligence, it provides end-to-end It realizes all-round appearance quality inspection on the end, and is used in solder joint visual inspection, coating visual inspection, dispensing visual inspection and PCB finished product inspection, etc.
    
 

Solution

1. Collecting photos: The system can collect photos with a camera mounted on the robotic arm.                            
2. AI intelligent detection engine for detection: Submit the collected photos to the AI intelligent detection engine for detection. The efficient algorithm supports detection within 1 second.                                
3. Detection of unqualified solder joints - Based on statistical analysis of data, the solder joints detected using AI intelligence are verified and compared the unqualified solder joints detected by traditional human eyes.

 

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AI industrial inspection VS traditional AOI(Check statistics with AVI appearance)
Number Comparison item AI method Traditional AOI method
1 Missed detection rate Within 0.2%, no obvious defects are missed. More than 10%
2 Pass inspection rate Within 5% More than 20%
3 Save manpower One device replaces 16 people  
4 Hardware Only simple visual equipment is needed Extremely demanding requirements on optical systems
5 Operator quality Simple operation, low requirements for personnel
cultural level
The operation is complex and requires a high
level of education
 

AI Detector Detection Basic Process

AI Detector Detection Basic Process

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