Watch CyberOptics' CX150i Automated Conformal Coating Inspection System in action. The CX150i offers fast and accurate conformal coating defect detection critical for long-term PCB reliability. It not only speeds up inspection but also reduces labor
ScanCOMPONENT is a PC-based offline component programming system for the creation of vision data files from the smallest flip chip and bumped packages to the largest odd form devices. The ScanCOMPONENT is a standalone Product as well as a module of
Parts & Supplies | Repair/Rework
PG-P6860 Main Features： 1、 The top heater can move freely along the X, Y axis in the IR preheating area. It is good for many BGA chips distribution at different positions in the PCB board which need repair. X-shaped infrared laser can do rapid lo
Industry Directory | Consultant / Service Provider / Manufacturer
Advanced Assembly provides quality PCB assembly services for prototypes and low-quantity orders 87% faster than other shops.
Galaxy, from DEK redefines the upper performance limit for high accuracy mass imaging platforms. Featuring the new high-tech DEK user interface; it's highly graphical, including the new TimeToGo "feedback gauges" showing remaining paper, paste and so
InspectScan VPI is a fully integrated, stand-alone process control, measurement and inspection and programming workstation for use in setting up processes before the production floor in the PCB or Hybrid Microcircuit assembly industries. InspectScan
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.
This video presents a general overview of ORPRO Vision's AOI during test. Video captured at Tremol SMD in Bulgaria. For additional information, please contact ORPRO Vision at sales.us@orprovision.com sales.eu@orprovision.com Visit our website: www
Industry News | 2011-10-05 12:26:48.0
Viscom AG will highlight its new S3088 3-D SPI solution in Hall A2, Stand 177 at the upcoming Productronica International Trade Fair
.gif)
