Technical Library | 2023-12-18 11:33:57.0
Elevate your electronic manufacturing game with the I.C.T-D600 SMT Dispensing Machine! Precision, safety, and efficiency in one powerful solution. In the dynamic realm of electronic manufacturing, precision and efficiency are not just preferences but essential requirements. Introducing the I.C.T-D600, an automatic glue dispenser machine engineered to enhance production processes across various applications. From chip encapsulation to PCB assembly, SMT red-glue dispensing, LED lens production, and medical device creation, SMT dispensing machine is a versatile solution tailored to meet the demands of the industry. Essential Attributes Of The I.C.T-D600 Automatic Glue Dispenser Machine 1. Compliance with European Safety Standards: The I.C.T-D600 SMT dispensing machine prioritizes not only efficiency but also safety, boasting compliance with European safety standards and holding a CE certificate. This ensures a secure and reliable manufacturing environment, aligning with global quality benchmarks. 2. International Component Quality: Internationally renowned components form the core of the D600 SMT dispensing machine. From Panasonic servomotors to MINTRON CCD, each element is carefully selected, guaranteeing high performance and durability. This commitment to quality components results in a machine that operates seamlessly, reducing downtime and maintenance costs. 3. Impressive Performance Metrics: The SMT dispensing machinedoesn't just meet expectations; it surpasses them with exceptional performance metrics: Maximum Guide Rail Speed: 400mm/s Fastest Injection Valve Speed: 20 spots/sec Dispensing Accuracy: ±0.02mm Repeated Accuracy: ±0.01mm Machine Characteristics: Core Part – Jet Valve The non-contact jet dispensing method ensures high-speed operation (max jet speed: 20 spots/second), high accuracy with a minimum dispensing volume of 5nl, and flexibility with extremely small dispensing volumes. The thermostatic system for the flow channel and sprayer ensures uniform glue temperature, resulting in low maintenance costs and an extended service life. Enhanced Capacity: Non-contact jet dispensing eliminates the need for Z-axis motion. Integrated temperature control technology reduces manual intervention. Automatic glue compensation minimizes artificial regulation time. Dual-track design reduces waiting time. Automatic visual location identification and compensation. Non-contact height detection with laser reduces height detection time. Flexibility: Capable of handling substrates or backings of various sizes. Optional heating module. Independent control of dual tracks with user-friendly software. Fast switching between different product lines. Universal platform suitable for various processes with different glues
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 | 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.
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