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How Does AOI inspection Control SMT Welding Quality?

How Does AOI inspection Control SMT Welding Quality?

July 29, 2025

​​1. What is AOI inspection?​

 

AOI (Automatic Optical Inspection) is a core quality inspection tool for SMT (Surface Mount Technology) production lines. Using high-resolution cameras, multi-angle LED lighting, and intelligent image analysis algorithms, it performs real-time visual inspection of printed circuit board assemblies (PCBAs). Its core goal is to identify component placement defects (such as missing components, offset components, and incorrect polarity) and soldering quality issues (such as cold solder joints, bridging, and abnormal solder content), replacing traditional manual visual inspection to achieve efficient and accurate quality control.

Figure 1: Practical application of AOI equipment in SMT production lines

Why do we need AOI?​​
As electronic products become thinner, lighter, and smaller (for example, the spacing between components on mobile phone motherboards has been reduced to 0.2mm), manual visual inspection faces three major pain points: low efficiency, poor accuracy, and weak consistency. AOI, by replacing humans, can increase inspection speed by more than 10 times and reduce the false positive rate to less than 1%, making it a key tool for ensuring soldering quality and improving production line yields.

 

 

​​2. How AOI Inspection Works​

 

The core of AOI is to complete the inspection through three steps: "image acquisition → image processing → defect determination":

 

​​(1) Image acquisition: Capturing PCBA details in multiple dimensions

· ​​High-resolution camera: Uses 5-20 megapixel industrial cameras to capture micron-level details on the PCBA surface.

· ​​Multi-angle lighting system: Combining red, blue, white, and ring-shaped light sources eliminates reflective interference (such as copper foil areas) and highlights key features such as solder joints and component edges.

 

​​(2) Image processing: intelligent algorithm to extract features​​

· ​​Preprocessing​​: denoising, contrast enhancement, and improving image clarity.

· Feature extraction: Identify component outlines and solder joint shapes through edge detection, template matching, and other technologies.

· ​​AI Deep Learning (High-end Equipment): Trains models based on historical data to dynamically optimize defect judgment criteria (such as microcrack morphology in cold solder joints).

 

​​(3) Defect determination: real-time comparison and feedback​​

· The captured image is compared with the preset "standard template" (perfect placement/welding state). If the difference exceeds the threshold (such as the solder joint area is 20% smaller), it is marked as a defect.

· The results are transmitted to the MES system in real time, triggering an alarm or automatically rejecting defective products, and recording data for process optimization.

 

Figure 2: AOI inspection process diagram

 

​​3. Why use AOI inspection?​

​​

(1) Meeting SMT Production Challenges​​

· ​​Component miniaturization: 0.2mm pitch QFP/SOP components are easily missed during manual visual inspection.

· ​​Soldering becomes more complicated: Lead-free solder has a higher risk of oxidation, making defects such as cold solder joints and solder beads more hidden.

· ​​Efficiency requirements: The production line has a fast cycle time (e.g., 60 PCBAs per minute), and manual labor cannot keep up with the speed.

 

​​(2) Core advantages compared with manual visual inspection​​

 

Comparison Items​​

AOI inspection​

Manual visual inspection​

Detection speed

100-300 components/second

20-30 components/minute

Defect recognition accuracy

0.1mm level (such as tiny solder bridges)

Relying on experience, it is easy to miss small defects

consistency

Stable and not affected by fatigue

Easy to fatigue, misjudgment rate 5%-10%

Data traceability

Automatically record test data

Reliance on paper records makes tracing difficult

​​

(3) Economic Benefits​​

· ​​Reduce repair costs: Intercept defective products early to prevent them from entering the reflow or assembly process and becoming scrapped.

· ​​Improved yield: In one case, the introduction of AOI increased the production line yield from 95% to 99.5%.

 

 

​​4. Components and items that AOI can detect​​

​​

(1) Detectable component types

 

AOI covers a wide range of inspections from traditional components to special-shaped parts:

· ​​Conventional components: rectangular chip components (0805/0603), cylindrical capacitors, tantalum capacitors, connectors.

· ​​Precision components: QFP (0.4mm pitch), SOIC, BGA (requires X-ray inspection).

· ​​Special components: coils, transistors, resistors, and special-shaped structural parts.

 

​​(2) Detectable defect items​​

 

​​① Component placement defects

· ​​Missing/Extra Components: Detects if components are missing or duplicated.

· ​​Offset/Standing: Identifies components that are offset (>0.1mm) or standing upright ("tombstone" phenomenon).

· ​​Wrong polarity: Check if the polarity of capacitors, diodes, etc. is correct.

· ​​Flip/Wrong Parts: Determine if the component is reversed or the wrong model.

 

​​② Welding quality defects

· ​​Too little tin/too much tin: Insufficient or excessive amount of solder (affecting electrical connection or mechanical strength).

· ​​Cold Solder Joint: The solder joint is not completely fused and there is a small gap.

· ​​Bridging/short circuit: Excessive soldering between adjacent solder joints causes conduction.

· ​​Solder Balling/Lifting: Solder balls flying off or solder joints lifting off the pad.

 

​​5. Summary: AOI is the "gatekeeper" of SMT quality

 

In SMT production, AOI, through high-speed, high-precision visual inspection, has become a key component in ensuring soldering quality and component assembly accuracy. With the integration of AI algorithms and 3D inspection technology, AOI will further enhance its ability to identify minute defects (such as BGA voids) in the future, helping electronics manufacturing move toward the goal of "zero defects."

 

​​Tip: When selecting AOI equipment, pay attention to three key indicators: inspection speed (matching the production line cycle), defect detection rate (>99%), and software usability (support for fast programming).

 

 

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