VT-100 Automated Optical Inspection (AOI) System
Employing a self-developed digital image feature classification and recognition algorithm based on machine learning strategies, this approach fully leverages the color, texture, and statistical information of digital images, resulting in higher detection accuracy. It can identify devices with colored markings—features that are undetectable using grayscale algorithms—as well as detect various defects such as missing components, misalignments, flips, side placements, damage, incorrect devices, and improper polarity.
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AOI Vision Inspection Machine
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VT-100 Automated Optical Inspection (AOI) System
Automated Optical Inspector (SRT-VT-100)
Device Testing
Employing a self-developed digital image feature classification and recognition algorithm based on machine learning strategies, this approach fully leverages the color, texture, and statistical information of digital images, resulting in higher detection accuracy. It can identify devices with colored markings—features that grayscale algorithms fail to detect—as well as address common defects such as missing components, misalignment, flipping, sideways placement, damage, incorrect device types, and improper polarity.
Solder Pad Inspection
By using scientifically arranged colored light sources, distinct differences are created in the images of insufficient solder, normal solder, and excessive solder, which are then accurately identified through feature-based classification and recognition algorithms applied to digital images. This method also requires lower precision for component placement, making it suitable for detecting circuit boards with relatively low patching accuracy.
IC Solder Joint Inspection
The independently developed solder-pin recognition algorithm can automatically identify IC solder pins and seamlessly learn various image features specific to IC solder pins. It delivers highly sensitive detection accuracy even for bridged solder joints, while being less demanding in terms of positional precision for IC components—making it capable of inspecting IC devices placed manually as well.
Product Features
Exceptionally high value for money
Fully independent intellectual property rights significantly enhance cost-effectiveness, allowing your production line to gain AOI inspection capabilities with minimal investment—ultimately helping you elevate product quality in an increasingly competitive lead-free soldering era.
Multi-standard comparison method (replacement part functionality)
The replacement parts feature prevents false alarms by incorporating multiple reference criteria, ensuring accurate detection even when customers use multiple batches of components or identical-model components with different appearances from various manufacturers.
Powerful automatic learning feature
Various specifications and types of components can be easily learned simply by outlining their contours—no additional special processing is required. The SRT-VT-100 AOI software automatically handles tasks such as feature extraction and algorithm optimization tailored to the specific component type. Whether it’s learning soldering for resistors and capacitors or inspecting IC pins, the process is fully automated, making it incredibly convenient and fast. Typically, programming time is less than 0.5 hours.
Suitable for multi-station production lines, offering convenient and flexible configuration.
High-speed, high-precision inspection applicable to machines used after solder paste printing, component placement, and reflow soldering.
Lead-based process / Lead-free process
Solder joints made with lead-based versus lead-free solder exhibit different levels of reflectivity and flowability. Therefore, distinct detection standards can be established based on these varying characteristics, ensuring more accurate inspection results.
A concise multilingual system
Currently, the product supports Chinese and English, with plans to add support for other major languages in future releases. The Chinese system features fully Chinese menus and prompts, as well as user profiles entirely in Chinese. Its familiar Windows-style click-and-drag interface makes it especially easy for domestic operators and programmers—training for operators typically takes no more than 1.0 hour, while programming staff usually require no more than 0.5 day to get up to speed.
Simple production environment requirements
It only requires the XY coordinates of the components and the bill of materials (BOM) for the circuit board to enable automatic learning—no need to build or maintain a dedicated component library, footprint library, or invest in complex conversion software. This makes it well-suited for China's intricate production environments. Additionally, the standard circuit boards used for training are fault-tolerant, ensuring that programming accuracy remains unaffected.
Intelligent learning process
The system can not only automatically acquire parameters such as the positions of IC pins but also dynamically adjust the parameter specificity of programming templates, ensuring that test data becomes more universally applicable. This reduces misjudgments and leads to exceptionally high detection accuracy, while also making programming operations incredibly user-friendly.
Product Technology Features
1. Any MARK point
In addition to using traditional circular, rectangular, cross-shaped, and triangular markers as MARK points, you can also employ any distinctive-shaped marker as a MARK point.
2. CAD Data Import and Automatic Component Positioning
The convenient CAD data import feature allows users to load pick-and-place data (in text format) from various pick-and-place machines. Even when no PCB board-related CAD data is available, the software can still automatically locate components and generate programming instructions according to the selected method.
3. Discrete Component Color Ring Test
It is possible to extract the color code information from discrete components and perform relevant tests.
4. Arbitrary-angle measurement method
All components, solder joints, solder, and bridging tests can be performed at any angle.
5. Automatic Path Optimization
The camera's walking positions are optimized along the path using intelligent machine learning methods, ensuring the camera performs tests in the shortest and fastest possible way.
6. Automatic Segmentation of IC Pins and Discrete Component Leads
Automatic segmentation of IC pins and discrete component leads, along with automatic setting of test parameters for each pin.
7. True OCR Function
The true text recognition feature works automatically, without any manual intervention, and can accurately identify numeric characters.
Technical data
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Model |
SRT-VT-100 |
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Transmission method |
Servo motor + ball screw |
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Width Adjustment |
Manual |
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Inspection items |
Missing parts, incorrect parts, misaligned components, side-facing parts, reversed components, damaged items, polarity errors, insufficient soldering, excessive soldering, continuous soldering, IC welding, color-ring test errors, OCR text recognition failures, barcode issues, and more. |
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Barcode Recognizable |
Code39, Code128, Interleaved 2 of 5, EAN12, PDF-417, Data Matrix |
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Operating System |
Windows XP (Chinese Version) |
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Power supply |
AC 220V, 50Hz |
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Ambient temperature |
5°C to 39°C |
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Environmental humidity |
5%-90% |
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Exterior Dimension Drawing |
L910 × W770 × H1240 |
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Optional components |
Printer for test results, SPC module, and offline programming software |
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