What is PCB-AI Integrated Quality Inspection Machine?
The PCB-AI Integrated Quality Inspection Machine is an intelligent inspection system that integrates traditional machine vision and deep learning technologies, specifically designed for the printed circuit board (PCB) manufacturing industry. This equipment achieves high-precision and high-efficiency quality inspection of inner layer boards, outer layer boards, and finished PCB boards through functionalities such as multi-lighting image acquisition, AI false point filtering, and automatic defect classification. The system supports integrated design and closed-loop data management, which can significantly reduce labor costs, improve inspection efficiency, and provide process optimization support for enterprises. It is widely used in consumer electronics, automotive electronics, communication equipment, industrial control, and other fields, serving as a cost-effective solution that promotes the intelligent upgrade of the PCB industry.
NVY supplies high-end PCB-AI Integrated Quality Inspection Machine. Request a quote today. We offer great prices on quality.

PCB Industry Market
Since 2000, global PCB production capacity has been continuously shifting to China. In 2006, China surpassed Japan to become the world's largest PCB producer, leading the world in both output and output value. Up to now, the output value of PCB in Asia has exceeded 90% of the global total, among which China and Southeast Asia are the regions with the fastest growth.In the PCB segmented industries, the market share of standard multi-layer rigid boards accounts for 49%.


PCB-AI Integrated Quality Inspection Machine
The production process of a single PCB is highly complex, involving more than 20 procedures from the initial copper-clad laminate to the final finished product. From the perspective of quality inspection, it can be divided into three stages: the inner layer board stage, the outer layer board stage, and the finished board stage.
Based on customers' needs at different stages of PCB production, we continuously build a series of PCB products and provide a full industrial chain of visual measurement, inspection and process equipment, including LDI (Laser Direct Imaging), DI (Direct Imaging), AVI, AOI, and CO₂ (Carbon Dioxide Laser Technology) equipment.

1. PCB Visual Defect Inspection Equipment
Project | Parameters & Performance |
Resolution | 10μ m |
PCB Size | Min: length x width 30*50mm Max: length x width 400*300mm |
PCB Thickness | 0.4-5mm |
Light Source | Tunnel white light/composite light |
Loading/Unloading Method | Automatic loading after horizontal stacking; automatic horizontal stacking for unloading |
Power & Air Supply Requirements | Power supply: 220V/20A (grounding is required); Compressed air 0.5Mpa (=5kgf/cm²) |
weight | 1600KG |
Overall Dimension | 1966*1620*2074(L*W*H) |
Inspection Data Source | CAM + Equipment Graphic Scanning |
Inspection Method | CV (Computer Vision) + AI (Artificial Intelligence) |
Defect Inspection Range | Solder mask on pad, exposed copper, depression, copper protrusion, solder mask whitening, broken solder mask bridge, open circuit, short circuit, notch, solder ball in hole, foreign matter on circuit under solder mask, etc. |
Applicable PCB Types | Suitable for Hot Air Solder Leveling (HASL) PCB, Immersion Tin PCB, Immersion Gold PCB, Gold Plated PCB, Immersion Silver PCB, OSP (Organic Solderability Preservative) PCB, etc. |
Inspection Speed | 400-1200pcs/H |
Offline Workstation | 1 offline workstation as standard, used for offline data preparation |
Offline Repair Station | 3 offline repair stations as standard |
ADC Defect Multi-Classification | Optional |
Key Features of PCB-AI Integrated Quality Inspection Machine
Automatic Visual Inspection (AVI)
High-speed, high-precision image acquisition and processing
Supports full-process inspection for inner, outer, and finished PCBs.
AI False Call Filtering System
Automatically filters false positives based on deep learning models
Supports few-shot learning for rapid adaptation to new product types
One-Click Data Reflux & Auto-Labeling
Automatically collects defect samples, reducing manual intervention
Supports continuous model optimization and shortens the iteration cycle
Open AI Platform
Provides end-to-end tools from data management to model training
Supports user-defined defect rules and detection logic
Application of PCB-AI Integrated Quality Inspection Machine
Consumer Electronics
Suitable for PCB inspection of high-refresh-rate products such as smartphones and tablets, supporting multi-model compatibility and rapid line changeovers for small-batch production.
Industrial Control
Adapts to diverse PCB inspection requirements in industrial control equipment, supporting flexible manufacturing with multi-variety, small-batch production modes.
Communication Equipment
Designed for high-frequency, high-speed PCB inspection in 5G base stations and optical modules, ensuring signal integrity and reliability.
Defect Detection Types
Comprehensive Assurance: Leveraging continuously evolving algorithms and models, the system can quickly adapt to PCB products of different materials and specifications. It accurately detects over 30 common types of PCB defects and effortlessly handles diverse inspection scenarios, including mass production and small-batch customization, ensuring stable and efficient inspection performance.
Flexible Customization: The system supports personalized configuration of defect detection rules based on specific user production needs. Whether it involves focused monitoring of particular defects or fine-tuning inspection parameters, it responds swiftly, ensuring the inspection process aligns deeply with production rhythms.
Common Defect Types:
Pads: Exposed copper, missing solder mask, discoloration, material deficiency, scratches, and detachment.
Holes: Copper on edges, missing solder mask, irregular shape, clogged holes, defects, and burrs.
Solder Mask: Board damage, scratches, contamination, exposed copper, overprinted text, imperfections, excess ink, foreign objects.
Traces: Exposed copper, breaks, misalignment, contamination, and scratches.
Characters: Defects, blurring, missing print, exposed copper, ghosting, and scratches—over 30 types in total.
Defect Inspection Examples:

NG vs. OK

Customer Value
Reduced Labor Costs
Saves over 50% of quality inspection manpower
Improved Detection Efficiency
Reduces single-board inspection time to seconds
Reduce Missed Detections
False positive rate below 30%, missed detection rate below 0.05%
Process Optimization Support
Drives continuous production line improvements through defect data analysis
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Why Choose Us for Your PCB Quality Inspection Solution?
Professional Team
Our R&D team consists of Ph.D. and Master graduates from renowned universities, with years of deep expertise in the machine vision field.
Industry Experience
We possess extensive project implementation experience across industries such as 3C electronics, automotive manufacturing, and security surveillance.
Technical Leadership
By integrating traditional vision and AI algorithms, we provide customized visual solutions.
End-to-End Service
We offer one-stop technical services and continuous upgrade support, from equipment delivery to after-sales assistance.
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