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Anomaly detection solution Product List

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Example of use: Detection of defective products on the production line using anomaly detection AI.

Example of use: Detection of defective products on the production line using anomaly detection AI.

Select only the products that require human inspection and automate the process! It's okay to inspect only a few percent of the total inspection count!

Visual inspection of defective products on production lines by humans involves a high workload and results in inconsistent inspection quality. Therefore, we first use AI to identify products with a high likelihood of defects. Only those selected products are then visually re-inspected by humans, ensuring consistent quality while reducing manpower. Our anomaly detection service, 'TDSE Eye', implements advanced algorithms to streamline visual inspections for maintenance tasks and product quality verification. [Case Overview] ■Challenges - Time and labor costs are high - The work is dependent on individuals, leading to inconsistencies in inspection quality ■Benefits - AI inspection selects only the products that require human inspection, reducing manpower - AI ensures consistent inspection quality *For more details, please refer to the PDF document or feel free to contact us.

  • Company：TDSE
  • Price：Other
  • Measurement and Inspection

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Anomaly Detection Solution "Impulse"

Anomaly Detection Solution "Impulse"

An anomaly detection solution that supports the operation of over 21,000 machine learning models for around 100 customers, primarily in manufacturing, plants, and IT.

"Impulse" is a platform that utilizes machine learning-based anomaly detection technology as its core, addressing the diverse challenges and data analysis needs in the field. It supports the advancement of many on-site operations, such as detecting signs of equipment failure and defects using the vast sensor data output from IoT devices, as well as quality inspection and work analysis using still images and videos. Users can create and operate machine learning models while interacting with AI, allowing a wide range of users, not just data scientists, to incorporate machine learning technology into their work.

  • Analysis and prediction system

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Anomaly Detection Solution Impulse

Anomaly Detection Solution Impulse

Addressing diverse challenges and data analysis needs on-site! Anomaly detection solution Impulse.

Reasons to Choose Impulse 01 Responding to diverse challenges and data analysis needs on-site 02 Full support from data analysis to model operation 03 Easily create and operate machine learning models with auto-modeling features 04 Operational track record exceeding 21,000 models across 100 companies

  • Big Data
  • Database

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