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  • A Peek into Automatic Data Augmentation by Policy Searching

    When training a model based on machine-learning (ML) or deep-learning (DL), data augmentation (DA) is a crucial technique to improve the model’s generalization performance and train better representation. However, it relies heavily on human experience or intuition. The ML/DL community has recognized this problem and has been making efforts to find ways to effectively perform […]

    Tech 2025-09-30

  • Case Study: Enhancing Quality Control in Rechargeable Battery Manufacturing with SAIGE VISION

    Introduction Quality control (QC) is a critical phase in the product development lifecycle, serving as the final opportunity to identify and eliminate defects. Among the various QC methods, vision inspection —- focused on detecting visual defects -— plays a pivotal role. Traditionally reliant on human inspection, this step is now increasingly augmented by advanced technologies […]

    Case Studies 2024-02-15

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  • A Peek into Automatic Data Augmentation by Policy Searching

    When training a model based on machine-learning (ML) or deep-learning (DL), data augmentation (DA) is a crucial technique to improve the model’s generalization performance and train better representation. However, it relies heavily on human experience or intuition. The ML/DL community has recognized this problem and has been making efforts to find ways to effectively perform […]

    Tech 2025-09-30

  • Case Study: Enhancing Quality Control in Rechargeable Battery Manufacturing with SAIGE VISION

    Introduction Quality control (QC) is a critical phase in the product development lifecycle, serving as the final opportunity to identify and eliminate defects. Among the various QC methods, vision inspection —- focused on detecting visual defects -— plays a pivotal role. Traditionally reliant on human inspection, this step is now increasingly augmented by advanced technologies […]

    Case Studies 2024-02-15

  • SAIGE VIMS: Real-Time Intelligent Video Monitoring for EV Rechargeable Battery Production

    Introduction Ensuring the highest standards of product quality and safety in rechargeable battery manufacturing requires more than pre-delivery inspections; the underlying root causes of all defects that occur during production must be identified and addressed. To achieve this, manufacturing processes increasingly rely on facility monitoring systems. Prompt detection and response to issues in manufacturing and […]

    Case Studies 2024-02-15

  • SAIGE SAFETY, Monitoring Construction Sites in Real-time

    To create a smart work environment, it is essential to improve the way processes are operated. In terms of industrial safety, ensuring the safety of both workers and sites is crucial. Thorough management is necessary as accidents in factories or work sites can result in significant losses and even casualties. SAIGE SAFETY is an artificial […]

    Case Studies 2024-02-15

  • Transfer Learning for Industrial Visual Inspection

    What is Transfer Learning? In 2012, Alex Krizhevsky introduced AlexNet11, a convolutional neural network (CNN) that overwhelmingly outperformed existing vision algorithms on the ImageNet dataset. Ever since then, CNN has been extensively applied in vision inspection. However, a fatal flaw of CNN compared to existing vision algorithms is that it requires a large amount of […]

    Tech 2021-07-08