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China PCB AOI Machine for Rigid Boards - High-Precision Inspection by Leading Suppliers and Factories
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3 PCB AOI Machine MDAOI-1250.jpg
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China PCB AOI Machine for Rigid Boards - High-Precision Inspection by Leading Suppliers and Factories

Introducing our advanced circuit defect detection system, specifically engineered for inspecting rigid PCB boards after the etching process. This innovative solution, produced by a leading factory in China, incorporates a variety of intelligent modules, such as automated loading and unloading, adjustable upper and lower light sources, and efficient Gerber file/photo comparison detection. In addition, it features defect coding and marking capabilities, along with an intelligent repair station for streamlined operations, Our equipment guarantees zero missed detection of serious defects, greatly enhancing both production accuracy and efficiency. With the ability to replace six manual inspection positions, one operator can effectively manage multiple machines simultaneously, leading to highly efficient and intelligent production workflows. Trusted by numerous suppliers, our system stands out as a benchmark in automated inspection technology within the PCB manufacturing industry in China
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    Product Detail

    Dual Mode Selection: Gerber File Comparison and Photo Comparison

    1. Gerber File Comparison Mode
    Supports direct import of Gerber files, utilizing proprietary parsing and AI deep learning for intelligent comparison. The process is easy to operate and quickly mastered.
    2. Photo Comparison Mode
    Allows users to take photos and independently set comparison templates. It supports manual positioning and the ability to mask non-detection areas, providing flexibility to adjust the inspection strictness based on actual settings.
    PCB AOI（Automated Optical Inspection）Machine (1)

    Perfect for Aluminum, Single-Sided, Fiberglass, Acrylic, and All Types of Flat Rigid Substrates

    Independently Select Top and Bottom Light Sources Based on Material Characteristics
    The system automatically detects the substrate size and calculates the optimal parameters for image capture, ensuring the best results. It also provides real-time defect detection and comparison with the template.
    PCB AOI（Automated Optical Inspection）Machine (2)

    Share Defect Data with Intelligent Repair Station for Fast Defect Location

    Each device is equipped with an intelligent repair station, sharing defect location data in real-time. Repair technicians can quickly locate defects through coding and on-screen displays, ensuring efficient and precise repairs.
    PCB AOI（Automated Optical Inspection）Machine (3)

    Mechanical Part

    Machine Name PCB AOI Machine PCB AOI Machine(Dual 16K Camera Version)
    Machine Model MDAOI-7050 MDAOI-1250 MDAOI-1500 MDAOI-7050-C2 MDAOI-1250-C2 MDAOI-1500-C2
    Detection Range Maximum size:700mm*530mm
    Minimum size:300mm*180mm    		 Maximum size:1250mm*530mm
    Minimum size:600mm*180mm    		 Maximum size:1500mm*530mm
    Minimum size:600mm*180mm    		 Maximum size:700mm*530mm
    Minimum size:300mm*180mm    		 Maximum size:1250mm*530mm
    Minimum size:600mm*180mm    		 Maximum size:1500mm*530mm
    Minimum size:600mm*180mm
    Customizable Size The board feeding width can be expanded up to 600mm(Customization)
    Scanning Efficiency 6-10 tablets per minute
    (Related to the size and complexity of the PCB template)
    Minimum Line Width Of Detection 0.2mm 0.15mm
    Minimum Line Distance Detection 0.2mm 0.15mm
    Camera Parameter 16K HD cameras Dual 16K HD cameras
    Inspection Defect Types Open circuit、short circuit、nick、protrusion、circuit wist、pinhole、line too thick、line too thin
    Inspection Method Comparison with master image and AI Image Comparison
    Master File Types Gerber File、Acquired Image
    X/Y Platform Driver Screw and AC servo motor drive, PCB fixed, Camera moves in XY direction
    Defect Labeling Method Automatic coding, defect data synchronized with the repair station
    Loading and Unloading Method Automatic loading and unloading
    Light A.O.I Dedicated line-scanning illuminant（Equipped with both top and bottom light sources.）
    Operation System Microsoft Windows 10 64 bit
    Power Supply Two-phase, Three-wire AC220V 3.5KW
    Air Supply 0.5MPA-0.7MPA
    Machine Dimension（L*W*H） 2420mm*2000mm
    *1725mm    		 3530mm*2000mm
    *1725mm    		 4620mm*2000mm
    *1725mm    		 2420mm*2000mm
    *1725mm    		 3530mm*2000mm
    *1725mm    		 4620mm*2000mm
    *1725mm
    Machine Weight 1000KG 1200KG 1400KG 1000KG 1200KG 1400KG

    Frequently Asked Questions

    What comparison modes does the PCB AOI Machine support?
    The machine features Dual Mode Selection: Gerber File Comparison Mode (supporting direct Gerber import with proprietary parsing and AI deep learning) and Photo Comparison Mode (allowing users to set templates, position manually, and mask non-detection areas).
    What types of substrates are compatible with this AOI system?
    It is perfect for aluminum, single-sided, fiberglass, acrylic, and all types of flat rigid substrates. The system automatically detects substrate size and optimizes image capture parameters.
    How does the intelligent repair station locate defects?
    Each machine is paired with an intelligent repair station that shares defect location data in real-time. Technicians can quickly find defects via automated coding and on-screen displays.
    What is the scanning efficiency of the PCB AOI Machine?
    The machine scans at a rate of 6-10 tablets per minute. The exact efficiency depends on the size and complexity of the PCB template being inspected.
    What kinds of defects can the system detect?
    It detects a wide range of defects including open circuits, short circuits, nicks, protrusions, circuit twists, pinholes, lines that are too thick, and lines that are too thin.
    What light source configuration does the machine use?
    The machine uses an A.O.I dedicated line-scanning illuminant equipped with both independently selectable top and bottom light sources to match different material characteristics.