【Product features】:
The TV430 automatic optical detector mainly consists of five parts: a three-axis servo drive system, a hardware control system, an optical software automatic recognition system, a high-precision optical detection system composed of industrial grade optical cameras, and the body itself. The three-axis drive system adopts original Japanese THK high-precision guide rails and lead screws; Effectively ensuring transmission accuracy, suitable for the detection of PCBA defective products, replacing manual operation in the production process, automatically detecting defects and solder joints in SMT, discrete components, etc., greatly improving the production efficiency and product quality of enterprises. Fully received praise and favor from customers in the industry.
Product Technical Features:
1、 Convenient for taking and placing circuit boards
1. The barrier free clamping device makes it easy and fast to remove and place circuit boards, and the borderless board clamping device can clamp circuit boards with zero edge distance between components.
2、 Asynchronous testing function
1. It is possible to start testing the next circuit board while manually confirming the test results, saving testing time.
3、 Replacement function
1. Multiple standard templates can be set for a single component to cope with situations where multiple batches of incoming materials are welded together
4、 Choose MARK points arbitrarily
1. In addition to using traditional circular, rectangular, cross shaped, and triangular markers as MARK points, any distinctive marker can also be used as a MARK point.
5、 Arbitrary angle measurement method
1. All components, solder joints, soldering, and bridging tests can be tested at any angle.
6、 Automatic path optimization
1. The walking position of the camera is optimized based on intelligent machine learning methods to ensure that the camera is tested in a short and fast manner.
7、 Automatic segmentation of IC pins and discrete component solder pins
1. Automatic segmentation of IC pins and discrete component solder pins, and the ability to automatically set testing parameters for each pin. Avoiding the hassle of setting the soldering amount and short-circuit window for each pin individually.
Detection Principle
Adopting a self-developed machine learning strategy based digital image feature classification and recognition algorithm, fully utilizing the color, characteristics, and statistical information of digital images, the detection accuracy is higher. It can detect devices with color markings that cannot be detected by grayscale algorithms, as well as errors such as device leakage, misalignment, flipping, lateralization, damage, incorrect devices, and incorrect polarity.
Pad inspection
By scientifically arranging color light sources, significant differences are produced between images of low solder, normal solder, and excessive solder, and corresponding recognition is achieved through feature classification and recognition algorithms of digital images. The requirement for device position accuracy is relatively low, and it can detect circuit boards with low surface mount accuracy.
IC solder joint detection
The independently developed solder joint recognition algorithm can fully automatically recognize IC solder joints and learn various image features of IC solder joints. It has very sensitive detection accuracy for solder joints, but requires low positional accuracy for IC devices, and can detect manually placed IC devices.
Product Features:
Reliable transmission system:
The driving equipment adopts an AC servo motor system. The screw and guide rail are made of original Japanese THK high-precision guide rail and screw.
Automatic component positioning without CAD data:
In the absence of CAD data for PCB boards, the software can still automatically locate components and program them according to the selected method.
Lighting treatment:
LED tricolor triangular light source (optional four-color)
Powerful automatic learning function:
Various specifications and types of devices can be learned by drawing frames at the device outline without any special processing. The SRT-VT-100 AOI software automatically extracts features and optimizes algorithms based on the device type. The soldering learning of resistors and capacitors, as well as IC soldering, is completed automatically, which is very convenient and fast. The programming time is usually less than 0.3 hours.
Simple production environment requirements:
Only the XY coordinates of the components and the Bill of Materials (BOM) of the circuit board are needed for automatic learning, without the need to establish and maintain specialized component libraries, packaging libraries, or complex conversion software. It is suitable for complex production environments in China, and the standard circuit board used for learning can be fault-tolerant without affecting the correctness of programming.
Intelligent learning process
The system can not only automatically obtain parameters such as the position of IC pins, but also automatically correct the parameter specificity of programming templates, making test data more universal and reducing misjudgments, with high detection accuracy, and very convenient programming operations.
|
