Automated Optical Inspection System

Product Specifications

Technical details and manufacturing context for Automated Optical Inspection System

Definition

An Automated Optical Inspection (AOI) System is a critical component within an Automated Surface-Mount Technology (SMT) Assembly Line. It uses high-resolution cameras, lighting, and image processing software to automatically scan assembled PCBs. Its primary role is to identify manufacturing defects such as missing components, misalignment, incorrect polarity, insufficient or excessive solder, and bridging, ensuring quality control before boards proceed to subsequent stages like testing or final assembly. The system captures high-resolution images of the PCB under controlled lighting. Sophisticated image processing algorithms compare these images against a 'golden' reference board or predefined design rules. The software analyzes features like component presence, placement accuracy, solder joint shape, and color to identify deviations that indicate defects. Results are logged, and defective boards are flagged for rework or rejection. Typical specifications include an inspection speed of 0.5–2.0 m²/min, resolution of 10–25 µm/pixel, detection accuracy of ±0.05 mm, false call rate ≤0.5%, missed defect rate ≤0.1%, operating temperature 10–35 °C, humidity 20–80% RH, power supply 220 V AC ±10% (single phase, 50/60 Hz), power consumption 1.5–3.0 kW, ingress protection IP54–IP65 (per IEC 60529), weight 500–1500 kg, and footprint approximately 1500×1200×1600 mm. Materials include aluminum alloy for the frame/chassis, optical glass for lenses, CCD/CMOS image sensors, and LED arrays for lighting. These values are reference ranges and must be verified for the specific model and application with the legal manufacturer or supplier. The system is designed for integration into SMT lines, and its performance depends on proper configuration, lighting, and software settings. Regular maintenance includes cleaning lenses and ensuring consistent lighting. Failure to maintain specified environmental conditions may degrade performance. Always confirm model-specific values and standards with the manufacturer.

Working Principle

The system captures high-resolution images of the PCB under controlled lighting. Sophisticated image processing algorithms compare these images against a 'golden' reference board or predefined design rules. The software analyzes features like component presence, placement accuracy, solder joint shape, and color to identify deviations that indicate defects. Results are logged, and defective boards are flagged for rework or rejection.

Common Materials

Aluminum alloy (frame/chassis), Optical glass (lenses), CCD/CMOS image sensors, LED arrays (lighting)

Technical Parameters

Parameter	Typical range	Notes & selection driver
Inspection Speed	0.5–2.0 m²/min	Higher speeds reduce cycle time but may affect accuracy.
Resolution	10–25 µm/pixel	Higher resolution detects finer defects but reduces speed.
Detection Accuracy	±0.05 mm	Tolerance for defect location and size measurement.
False Call Rate	≤0.5 %	Lower false calls reduce unnecessary rework.
Missed Defect Rate	≤0.1 %	Critical for quality assurance.
Operating Temperature	10–35 °C	Outside this range, performance may degrade.
Humidity Range	20–80 % RH	Non-condensing; high humidity can cause condensation.
Power Supply	220 ±10% V AC	Single phase, 50/60 Hz.
Power Consumption	1.5–3.0 kW	Depends on configuration and lighting.
Ingress Protection	IP54–IP65	Protects against dust and water splashes.IEC 60529
Weight	500–1500 kg	Depends on conveyor width and options.
Footprint (L×W×H)	1500×1200×1600 mm	Approximate; varies with model.

Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.

Components / BOM

Vision Camera Module
Captures high-resolution images of the PCB under inspection.

Material: Aluminum housing, optical glass lenses, silicon sensor
Lighting System
Provides controlled, multi-angle illumination (e.g., ring, dome, coaxial) to highlight different features and defects.

Material: LED arrays, diffusers, aluminum housing
Motion System (XY Stage)
Precisely moves the camera and/or PCB to scan the entire board surface.

Material: Aluminum/steel frame, linear guides, servo/stepper motors
Image Processing Unit
Runs defect detection algorithms by comparing captured images to reference data.

Material: Industrial computer, GPU cards
Rejection Mechanism
Physically flags or removes a PCB identified as defective from the conveyor line.

Material: Pneumatic actuator, aluminum/steel arm

Manufacturers of Automated Optical Inspection System

Manufacturer profiles associated with Automated Optical Inspection System.

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Frequently Asked Questions

What defects can this AOI system detect?

It detects missing components, misalignment, incorrect polarity, insufficient or excessive solder, and bridging on assembled PCBs.

What is the typical inspection speed?

The reference range is 0.5–2.0 m²/min, but actual speed depends on the model and configuration. Higher speeds may reduce accuracy.

What are the environmental requirements?

Operating temperature should be 10–35 °C, humidity 20–80% RH (non-condensing). Outside these ranges, performance may degrade.

How is the system calibrated?

Calibration involves setting up lighting and image processing parameters against a known reference board. Specific procedures are provided by the manufacturer.

Data Basis

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Preliminary Technical Classification

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pressure:	Atmospheric (clean room recommended)
other spec:	Vibration < 0.5G, Illumination 500-1500 lux, PCB size range: 50x50mm to 450x450mm
temperature:	+10°C to +35°C

Product Specifications

Industrial Ecosystem & Supply Chain Structure

Application Fit & Sizing Matrix

Reliability & Engineering Risk Analysis

Compliance & Manufacturing Standards