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Electronics Forum | Tue Jun 29 11:46:36 EDT 2010 | davef
Prins: Everyone has equations. Here's one some people use: False call rate = [Number of defective boards, but good at inspection]/[Total number of boards produced] Why don't you ask the people [that calculated the numbers that confuse you] how the
Electronics Forum | Sat Jun 26 02:32:32 EDT 2010 | prinsisgarcee
how do i calculate false call rate? i got this equation = [over reject / (total solder joints + components) ] * 1000000 and i got a table which shows data like number of solder joints, components on panel, and number of false call, and the false
Used SMT Equipment | AOI / Automated Optical Inspection
Eceed PARMI 3D AOI High speed 3D AOI platform Equipped with innovative colour textured 3D sensor Shorten teaching time by virtue of smart algorithm Easy to use simple & intuitive GUI Extremely low false call and escape
Used SMT Equipment | AOI / Automated Optical Inspection
- 8 CAMERAS(5 MEGA PIXEL CAMERA) • High performance inspection for 01005 components • New 5.0 megapixel CMOS color cameras • 17 micron camera resolution • Dual-core dual-processor computer • Line-speed inspection for demanding cell phone and
Industry News | 2003-03-27 08:15:33.0
Modular Embedded Circuit Board from parvus Enables Local Device Fingerprint Biometrics
Industry News | 2019-10-15 14:59:59.0
Nordson ASYMTEK introduces Qadence™, a closed-loop system that automatically compensates for viscosity changes during conformal coating. This innovative system combines the capabilities of Nordson ASYMTEK's conformal coating hardware and software to selectively apply coating to specific areas of a circuit board consistently throughout production. The Qadence flow control system maintains stable fluid application, flow rates, and performance by automatically compensating for viscosity changes related to temperature, humidity, and batch-to-batch variation. It eliminates the need for frequent operator adjustments and downtime to recalibrate the process.
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 | 2020-07-02 13:29:37.0
Industry standards such as J-STD-005 and JIS Z 3284-1994 call for the use of viscosity measurement(s) as a quality assurance test method for solder paste. Almost all solder paste produced and sold use a viscosity range at a single shear rate as part of the pass-fail criteria for shipment and customer acceptance respectively. As had been reported many times, an estimated 80% of the defects associated with the surface mount technology process involve defects created during the printing process. Viscosity at a single shear rate could predict a fatal flaw in the printability of a solder paste sample. However, false positive single shear rate viscosity readings are not unknown.
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ASYMTEK Products | Nordson Electronics Solutions | https://www.nordson.com/en/divisions/yestech/about-nordson-yestech/news/yestechs-new-large-area-lx-1000-automated-optical-inspection-system-enhances-inspection-capabilities
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