Technical Library: yestech aoi network (Page 1 of 1)

Justifying AOI and Automated X-Ray

Technical Library | 2013-07-02 16:44:31.0

AOI and AXI systems can address multiple tasks in various locations of the manufacturing process and have become the leading technologies in the quest to identify defects and improve process yields.

Nordson YESTECH

Automated Optical Inspection Method for Light-Emitting Diode Defect Detection Using Unsupervised Generative Adversarial Neural Network

Technical Library | 2021-11-22 20:44:44.0

Many automated optical inspection (AOI) companies use supervised object detection networks to inspect items, a technique which expends tremendous time and energy to mark defectives. Therefore, we propose an AOI system which uses an unsupervised learning network as the base algorithm to simultaneously generate anomaly alerts and reduce labeling costs. This AOI system works by deploying the GANomaly neural network and the supervised network to the manufacturing system. To improve the ability to distinguish anomaly items from normal items in industry and enhance the overall performance of the manufacturing process, the system uses the structural similarity index (SSIM) as part of the loss function as well as the scoring parameters. Thus, the proposed system will achieve the requirements of smart factories in the future (Industry 4.0).

Shenzhen University

Orbotech Trion 2340 Manual

Technical Library | 2020-10-30 10:27:39.0

Preview of the Complete Aneryn's Orbotech Trion 2340 Manual. It explains how to programme the AOI machine, how to train new components (shapes), how to connect it to your network, among other processes. Following the Guide, you will minimize false alarms and escapes rates easily. Full Manual available at https://aneryn.com/creation/trion-2340-manual/ Digital development by Sinfonía Digital

Aneryn

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