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【2020 Solutions】 Anomaly Detection Solves the Problem of Insufficient Defect Images

E-Hui Technology collaborates with the Institute for Information Industry to create an anomaly detection system

In closed production lines where anomaly data is hard to collect, the biggest problem with AI image recognition is the paucity of training data and its rarity, making implementation very challenging. E-Hui Technology, in collaboration with the Service Creation Institute of the Institute for Information Industry, has developed unsupervised learning technology, wherein the computer does not need to label specific items to recognize during its learning process. It classifies based on the characteristics of the data. For instance, in manufacturing, where defect detection is critical, the system first learns from the predominantly normal products on the production line. When a few defective items are mixed in, the machine uses classification rules to screen out the defective items. Similarly, if a consumer credit card transaction suddenly shows completely unusual characteristics that do not match typical patterns and habits, the machine autonomously detects this anomaly. Due to its distinctiveness, this technology is applicable to unique sectors.

Using unsupervised deep learning algorithms for developing AI anomaly detection technology eliminates the need for collecting and labeling anomaly data, reducing the introduction period to 1-2 months. The target market is traditional industries such as chemical and steel, which find it difficult to gather anomaly data. This technology has a high tolerance for image quality, requiring only regular surveillance footage from the production line to train the model. It can detect various types of anomalies and has a simple and fast implementation process. The system includes components for image acquisition, training mechanisms, edge real-time computing hosts, and cloud inspection services, forming a complete anomaly detection solution that can be integrated with factory patrols, apps, and other reporting mechanisms.

Anomaly Detection System

 

Anomaly Detection System-2

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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