Technical Library | 2020-12-02 20:36:54.0
Industry 4.0 is a topic of much discussion within the electronics manufacturing industry. Manufacturers and vendors are trying to come to terms with what that means. In the most simplistic of terms, Industry 4.0 is a trend toward automation and data exchange within the manufacturing process. This basically requires connectivity and communication from machine to machine within the manufacturing line. The challenge is to collect data from each of the systems within the line and make that data available to the rest of the machines. Without test and inspection, there is no Industry 4.0. The whole purpose of test and inspection is to collect actionable data that may be used to reduce defects and maximize efficiency within the manufacturing line. The goal is to minimize scrap and get a really good handle on those process parameters that need to be put in place to manufacture products the right way the first time. For maximum efficiency, three inspection systems are required within the production line. These are solder paste inspection (SPI) post-solder deposition, automated optical inspection (AOI) post-placement, and AOI post-reflow. This requires a substantial investment; however, the combination of all three inspection machines is really the only true way to provide feedback for each stage of the manufacturing process.
Technical Library | 2023-09-15 11:17:10.0
Ensure the integrity of your components with our SMT Offline X-Ray System. Detect hidden defects and improve the quality of your PCBAs with precise X-ray inspection technology.
Technical Library | 2023-09-15 10:00:02.0
Experience top-tier quality inspection with our DIP Inverted Camera Online PCBA AOI solution. Ensure flawless PCB assemblies and detect defects with precision using advanced technology. Improve efficiency and minimize production issues with this cutting-edge automated optical inspection system.
Technical Library | 2023-09-15 10:05:59.0
Elevate your electronics manufacturing with SMT Online AOI. Achieve real-time quality control, defect detection, and production efficiency optimization with our advanced automated optical inspection system. Improve your production process and ensure top-notch quality with SMT Online AOI technology.
Technical Library | 2023-09-15 09:58:06.0
Elevate your electronics production with our PCBA Coating Online SMT AOI solution. Achieve precision coating and comprehensive quality assurance in one integrated system. Boost efficiency and reduce defects with cutting-edge automated optical inspection technology.
Technical Library | 2023-09-15 10:03:54.0
Achieve thorough quality control with our DIP On-line Dual Side PCBA AOI system. Detect defects on both sides of PCBAs in real-time, ensuring impeccable quality and production efficiency. Elevate your electronic manufacturing process today.
Technical Library | 2024-08-09 06:34:09.0
Quality control in conformal coating applications is vital for ensuring the reliability and longevity of electronic products. Conformal coatings protect printed circuit boards (PCBs) from environmental factors like moisture, dust, and chemicals. To maintain high standards, various inspection methods are employed throughout the coating process. Visual Inspection This is the first line of defense against defects. Inspectors look for uniform coverage, absence of bubbles, and proper curing. Training is essential to ensure that inspectors can identify subtle issues that may affect performance. UV Inspection Most conformal coatings contain a UV tracer, which makes the coating visible under ultraviolet light. UV inspection allows for easy detection of missed areas, ensuring complete coverage. This step is crucial for verifying that the coating has been applied correctly, especially in hard-to-see areas of the PCB. Automated Optical Inspection (AOI) AOI systems offer a more precise and consistent method for inspecting conformal coatings. They use cameras and specialized software to detect defects that might be missed by the human eye. AOI systems can inspect large volumes of PCBs quickly, making them ideal for high-production environments. Thickness Measurement The thickness of the conformal coating is critical for providing adequate protection without affecting the performance of the PCB. Tools such as micrometers, ultrasonic thickness gauges, and eddy current devices are used to measure the coating thickness. Consistent application is key to preventing issues like cracking or insufficient protection. Functional Testing Beyond visual and automated inspections, functional testing is necessary to ensure that the conformal coating does not interfere with the electrical performance of the PCB. This involves subjecting the coated PCB to environmental stress tests, such as thermal cycling, humidity, and salt spray, to assess its reliability in real-world conditions. Process Control and Documentation Implementing strict process controls is essential to maintaining quality. This includes regularly calibrating equipment, training operators, and documenting every step of the process. Proper documentation helps trace issues back to their source and prevents them from recurring. Conclusion Effective quality control in conformal coating applications ensures that PCBs are protected from environmental damage, thereby extending their lifespan and reliability. By employing a combination of visual, UV, and automated inspections, along with thickness measurement and functional testing, manufacturers can achieve the highest standards in coating quality.
Technical Library | 2020-08-27 01:15:10.0
Automobile surface defects like scratches or dents occur during the process of manufacturing and cross-border transportation. This will affect consumers' first impression and the service life of the car itself. In most worldwide automobile industries, the inspection process is mainly performed by human vision, which is unstable and insufficient. The combination of artificial intelligence and the automobile industry shows promise nowadays. However, it is a challenge to inspect such defects in a computer system because of imbalanced illumination, specular highlight reflection, various reflection modes and limited defect features. This paper presents the design and implementation of a novel automatic inspection system (AIS) for automobile surface defects which are the located in or close to style lines, edges and handles. The system consists of image acquisition and image processing devices, operating in a closed environment and noncontact way with four LED light sources. Specifically, we use five plane-array Charge Coupled Device (CCD) cameras to collect images of the five sides of the automobile synchronously. Then the AIS extracts candidate defect regions from the vehicle body image by a multi-scale Hessian matrix fusion method. Finally, candidate defect regions are classified into pseudo-defects, dents and scratches by feature extraction (shape, size, statistics and divergence features) and a support vector machine algorithm. Experimental results demonstrate that automatic inspection system can effectively reduce false detection of pseudo-defects produced by image noise and achieve accuracies of 95.6% in dent defects and 97.1% in scratch defects, which is suitable for customs inspection of imported vehicles.
Technical Library | 2021-04-15 14:49:27.0
In this study, a predefined template-based image processing system is proposed to automatically detect of PCB soldering defects that negatively affect circuit operation. The proposed system consists of a scaled inspection structure, a camera, an image processing algorithm merged with Fuzzy and template guided inspection process. The prototype is produced using a plastic material, depending on the focal length of the camera and the PCB size. Image processing step comprises two steps. Firstly, solder joints are determined and boxed using Fuzzy C-means clustering algorithm.
Technical Library | 2021-11-22 20:32:10.0
The aim of this work is to define a procedure to develop diagnostic systems for Printed Circuit Boards, based on Automated Optical Inspection with low cost and easy adaptability to different features. A complete system to detect mounting defects in the circuits is presented in this paper. A low cost image acquisition system with high accuracy has been designed to fit this application. Afterward, the resulting images are processed using the Wavelet Transform and Neural Networks, for low computational cost and acceptable precision. The wavelet space represents a compact support for efficient feature extraction with the localization property. The proposed solution is demonstrated on several defects in different kind of circuits.
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