VT-110 Automated Optical Tester
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-110 Automated Optical Tester
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 are undetectable using grayscale algorithms—as well as detect common defects such as missing components, misalignment, flipping, sideways placement, damage, incorrect components, and improper polarity.
Solder Pad Inspection
By using scientifically arranged colored light sources, distinct differences are created in the images of insufficient, normal, and excessive solder, which are then accurately identified through digital image feature classification and recognition algorithms. This method requires only low positional accuracy for components, making it suitable for detecting circuit boards with relatively imprecise component placement.
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 them. It delivers highly sensitive detection accuracy, even for bridged solder joints, while maintaining relatively low precision requirements for the exact positioning of IC components—making it capable of reliably 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 incorporate AOI inspection capabilities with minimal investment—ultimately helping you deliver higher 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 them—no additional special processing is required. The SRT-VT-110 AOI software automatically handles tasks such as feature extraction and algorithm optimization tailored to the specific component type. Whether it’s soldering learning for resistors and capacitors or IC lead inspection, 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, allowing for the establishment of distinct inspection standards tailored to their unique characteristics—and ultimately leading to more accurate detection 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 delivers 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
Convenient patch machine data import functionality allows users to load data from various pick-and-place machines (in text format). Even without PCB CAD data, 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 have been optimized 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 automated setup of test parameters for each pin.
7. True OCR test that can distinguish between data sizes
The true OCR text recognition feature works without manual settings and can accurately identify numeric characters.
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Model |
SRT-VT-110 |
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Transmission method |
Servo motor + ball screw |
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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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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 |
L1034 × W817 × H1144 |
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Optional components |
Printer for test results, SPC module, and offline programming software |
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