Technical Library | 2023-07-22 02:26:05.0
Patch offset; Uneven patches throughout the substrate (each substrate is offset in a different way); Only part of the substrate is offset; Only certain components are offset; The patch Angle is offset; Component absorption error; Laser identification (component identification) error; Nozzle loading and unloading error; Mark (BOC mark, IC mark) identification error; Image recognition error (KE-2060 only); Analysis of the main reasons for throwing material. More information about KINGSUN please Contact US at jenny@ksunsmt.com or visit www.ksunsmt.com
Technical Library | 2023-11-25 07:46:13.0
In the dynamic realm of Surface Mount Technology (SMT), where efficiency and precision are paramount, I.C.T, a renowned SMT equipment manufacturer, proudly unveils its latest innovation – the I.C.T-910 Automatic IC Programming System. Crafted to cater to the intricate demands of SMD chip programming, this cutting-edge device vows to redefine your programming experience and elevate production capabilities. Programming system.png The Power of IC Programming System: As a beacon of excellence in IC Programming Systems, the I.C.T-910 seamlessly integrates advanced technology with user-friendly features. This system empowers manufacturers in the SMT industry, offering versatility in programming needs by accommodating a wide range of SMD chips. Precision Programming: The I.C.T-910 boasts unparalleled precision in programming SMD chips, ensuring accuracy in every generated code. In the SMT industry, where even the slightest error can lead to setbacks, this precision is indispensable. Efficiency Redefined: Accelerate your production timelines with the I.C.T-910's efficient programming capabilities. Engineered to optimize workflows, this system ensures rapid programming without compromising quality, recognizing that time is money in the SMT industry. User-Friendly Interface: Navigating the complexities of IC programming is simplified with the I.C.T-910's intuitive user interface. Operators, even without extensive programming expertise, can harness the system's power, minimizing the learning curve and maximizing productivity. Compatibility and Adaptability: The I.C.T-910 breaks free from limitations, supporting a wide array of SMD chip models. It is a versatile solution for diverse programming requirements, allowing you to stay ahead of technological advancements. Why Choose I.C.T-910 IC Programming System? 8 sets of 32-64sit burners Nozzle: 4pcs Camera: 2pcs (Component camera + Marking camera) UPH: 2000-3000PCS/H Package type: PLCC, JLCC, SOIC, QFP, TQFP, PQFP, VQFP, TSOP, SOP, TSOPII, PSOP, TSSOP, SON, EBGA, FBGA, VFBGA, BGA, CSP, SCSP, and so on. Compatibility: Adapters provided based on customer products. Simple operation interface: Modular and layered interface with pictures and texts for easy operation. System upgrade: Free software upgrade service. Reliability: Trust in the I.C.T-910, a programming system that prioritizes reliability. Rigorous testing ensures consistent and dependable performance, reducing the risk of programming errors and downtime. Elevate Your Competitiveness: Incorporate the I.C.T-910 into your production line to elevate competitiveness in the market. Stay ahead with a programming system designed to meet the demands of the fast-paced SMT industry. Embrace the Future with I.C.T-910: In a landscape where precision, efficiency, and adaptability are non-negotiable, the I.C.T-910 Automatic IC Programming System emerges as the game-changer for SMT manufacturers. Revolutionize your programming processes, enhance productivity, and future-proof your operations with the I.C.T-910. Choose I.C.T-910 and stay ahead in the SMT industry, ushering in the next era of IC programming excellence.
Technical Library | 2023-11-20 18:10:20.0
The electronics production is prone to a multitude of possible failures along the production process. Therefore, the manufacturing process of surface-mounted electronics devices (SMD) includes visual quality inspection processes for defect detection. The detection of certain error patterns like solder voids and head in pillow defects require radioscopic inspection. These high-end inspection machines, like the X-ray inspection, rely on static checking routines, programmed manually by the expert user of the machine, to verify the quality. The utilization of the implicit knowledge of domain expert(s), based on soldering guidelines, allows the evaluation of the quality. The distinctive dependence on the individual qualification significantly influences false call rates of the inbuilt computer vision routines. In this contribution, we present a novel framework for the automatic solder joint classification based on Convolutional Neural Networks (CNN), flexibly reclassifying insufficient X-ray inspection results. We utilize existing deep learning network architectures for a region of interest detection on 2D grayscale images. The comparison with product-related meta-data ensures the presence of relevant areas and results in a subsequent classification based on a CNN. Subsequent data augmentation ensures sufficient input features. The results indicate a significant reduction of the false call rate compared to commercial X-ray machines, combined with reduced product-related optimization iterations.
Technical Library | 2008-10-29 18:45:53.0
Growing demand for compact, multi-function electronics products has accelerated component miniaturization and high-density placement, creating new challenges for the electronics manufacturing industry. It is no longer adequate to simply place parts accurately per a pre-defined CAD assembly program because solder paste alignment errors are increasing for numerous reasons. The solution to this problem is a system in which the placement machine can automatically detect and compensate for misalignment of the solder paste to produce high-quality boards regardless of the process errors beforehand.
Technical Library | 2024-04-29 21:39:52.0
In this paper, we develop and put into practice an Automatic Optical Inspection (AOI) system based on machine vision to check the holes on a printed circuit board (PCB). We incorporate the hardware and software. For the hardware part, we combine a PC, the three-axis positioning system, a lighting device and CCD cameras. For the software part, we utilize image registration, image segmentation, drill numbering, drill contrast, and defect displays to achieve this system. Results indicated that an accuracy of 5µm could be achieved in errors of the PCB holes allowing comparisons to be made. This is significant in inspecting the missing, the multi-hole and the incorrect location of the holes. However, previous work only focusses on one or other feature of the holes. Our research is able to assess multiple features: missing holes, incorrectly located holes and excessive holes. Equally, our results could be displayed as a bar chart and target plot. This has not been achieved before. These displays help users analyze the causes of errors and immediately correct the problems. Additionally, this AOI system is valuable for checking a large number of holes and finding out the defective ones on a PCB. Meanwhile, we apply a 0.1mm image resolution which is better than others used in industry. We set a detecting standard based on 2mm diameter of circles to diagnose the quality of the holes within 10 seconds.
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 | 2009-12-14 20:24:19.0
In the lead-free era, thermal profiling has a critical role in the SMT assembly process. We discuss the profiling, tools, practical issues, and inspection methods of golden boards, and related tools. As the process window narrows, profiling equipment and/or thermocouple (TC) errors must be taken into consideration. In addition, the accuracy and attachment method of the thermocouple will significantly impact critical assemblies.
Technical Library | 2019-08-15 13:31:52.0
Cracks in ceramic chip capacitors can be introduced at any process step during surface mount assembly. Thermal shock has become a "pat" answer for all of these cracks, but about 75 to 80% originate from other sources. These sources include pick and place machine centering jaws, vacuum pick up bit, board depanelization, unwarping boards after soldering, test fixtures, connector insulation, final assembly, as well as defective components. Each source has a unique signature in the type of crack that it develops so that each can be identified as the source of error.
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.
Technical Library | 2011-08-11 20:06:48.0
(Proceedings of the World Congress on Engineering 2011) A Printed Circuit Board (PCB) consists of circuit with electronic components mounted on surface. There are three main steps involved in manufacturing process, where the inspection of PCB is necessar
Sant Longowal Institute of Engineering and Technology (SLIET)
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