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Tool monitoring solution Product List

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"Detection of abnormalities in cutting tools" Tool Monitoring AI Solution

Would you like to solve tool exchange losses and defects/rework losses with "evolving AI"?

The tool monitoring AI solution is part of THK's IoT service "OMNIedge." We address issues related to cutting tools, such as: "I want to review tool life based on quantity to reduce costs" "Defects due to breakage or chipping, and losses from rework" We can also tackle challenges like "a mountain of defective products from unmanned processing at night." Moreover, "The sensors are easy to install retroactively" "No setup required; AI learns and analyzes automatically" This system does not require complex procedures for implementation. Of course, like other OMNIedge solutions, it is packaged to deliver everything from sensors to communication environments as a complete set. If you are interested in more details, please feel free to download the PDF or contact us.

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Aerospace Tool Monitoring AI Solution

Solve tool exchange losses and defects/rework losses with AI!

In the aerospace industry, precision machining faces significant challenges such as the occurrence of defective products due to tool abnormalities and losses from tool changes. The "Tool Monitoring AI Solution" is a groundbreaking solution that utilizes AI to detect tool abnormalities early, addressing these issues. 【Usage Scenarios】 * Precision machining of aircraft parts * Manufacturing of rocket components * Manufacturing of satellite components * Production delays due to tool change losses * Increased costs due to the occurrence of defective products * Strengthening monitoring systems due to personnel shortages 【Benefits of Implementation】 * Increased productivity by reducing tool change losses * Improved quality by suppressing the rate of defective products * Enhanced efficiency by resolving personnel shortages * Planned tool changes through anomaly detection * Cost reduction through improved operational rates

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Tool Monitoring AI Solution for Medical Devices

Solve tool exchange losses and defects/rework losses with AI! Achieve improved accuracy.

In the manufacturing of medical devices, the occurrence of defective products due to abnormalities in cutting tools and the loss from tool changes are significant challenges that greatly affect product quality and production efficiency. This product supports the stable production of high-precision medical devices by utilizing AI to detect tool abnormalities early and solve these issues. 【Usage Scenarios】 * Cutting process in the manufacturing of medical devices * Occurrence of defective products due to tool abnormalities * Decrease in production efficiency due to tool change losses * Quality control in unmanned processing at night 【Benefits of Implementation】 * Cost reduction through the reduction of tool change losses and defects/rework losses * Increased customer satisfaction due to improved product quality * Shortened delivery times due to enhanced production efficiency * Strengthened quality control in unmanned processing at night

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"Detection of abnormalities in cutting tools" Tool monitoring AI solution

For cutting tools like drills and chips! Would you like to solve tool change losses and defects/rework losses with "evolving AI"?

The tool monitoring AI solution is part of THK's IoT service "OMNIedge." 【Do you have any of these issues regarding cutting tools?】 - Want to reduce costs by reviewing tool life based on quantity - Defects due to breakage or chipping, resulting in rework losses - A mountain of defective products from unmanned processing at night... We will solve these challenges. 【Features】 ■ Easy installation of retrofitted sensors Sensing is done by clamping a CT to the motor cable, making installation simple. ■ No need for threshold or parameter settings There is no need for complicated settings with a configuration tool. You can start collecting data immediately from the day of installation. ■ AI diagnoses and detects anomalies. Learning improves accuracy With automatic analysis by AI, anomaly detection is based on data, eliminating the need for thresholds. If you are interested in more details, please feel free to download the PDF or contact us.

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Automotive Tool Monitoring AI Solution

Solve tool exchange losses and defects/rework losses with AI!

In the cutting process of automobile manufacturing, the loss due to tool wear and breakage, as well as the loss from rework due to defective products, are significant challenges. This product is a solution that utilizes AI to monitor the condition of tools, addressing these issues and achieving improvements in production efficiency and cost reduction. 【Usage Scenarios】 * Cutting of automotive parts: Decreased machining accuracy due to tool wear and the occurrence of defective products due to breakage. * Unmanned processing at night: Oversights in checking tool conditions due to the absence of personnel, leading to defective products. * Low-volume, high-variety production: High frequency of tool changes makes management difficult. 【Benefits of Implementation】 * Reduction of tool replacement loss: By predicting the timing of tool replacements, unnecessary changes can be minimized, resulting in cost savings. * Prevention of defective products: Monitoring the condition of tools helps prevent the occurrence of defective products in advance, contributing to quality improvement. * Improvement of production efficiency: Reducing time lost due to tool changes and defective products enhances production efficiency. * Alleviation of labor shortages: Relying on AI for tool monitoring can also help address labor shortages.

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Tool Monitoring AI Solution for Machining

Solve tool exchange losses and defective/rework losses with AI! Achieve improved operational efficiency.

This is an AI solution that detects abnormalities in cutting tools early, suppressing tool change losses and the occurrence of defective products, thereby improving the operating rate of machining processes. 【Usage Scenarios】 * Abnormality detection of tools in machining environments * Decreased production efficiency due to tool change losses and defective product occurrences * Concerns about quality control in unmanned night-time machining * Cost reduction through tool life prediction 【Benefits of Implementation】 * Significant cost reduction due to the reduction of tool change losses and defective/rework losses * Increased productivity due to improved operating rates * Enhanced customer satisfaction through stabilized quality * Improved safety in unmanned night-time machining

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Tool Monitoring AI Solution for Semiconductors

Solve tool exchange losses and defective/rework losses with AI! Achieve cost reduction with easy implementation.

Abnormal detection of cutting tools in semiconductor manufacturing significantly impacts product quality and production efficiency. The occurrence of defective products due to tool wear or damage, as well as downtime caused by tool replacement, results in serious cost burdens. This product utilizes AI to monitor the condition of tools in real-time and detect abnormalities early, addressing these challenges. 【Application Scenarios】 * Semiconductor manufacturing sites: Occurrence of defective products due to tool wear or damage, downtime due to tool replacement, quality control in unmanned processing at night. * Challenges: Difficulty in predicting tool life, occurrence of defective products due to delays in abnormal detection, production stoppage due to tool replacement, burden of manual monitoring. 【Effects of Implementation】 * Reduction of defective product occurrence: By detecting tool abnormalities early, it helps suppress the occurrence of defective products and contributes to improved product quality. * Reduction of tool replacement loss: By predicting tool life and replacing tools at optimal timing, it reduces unnecessary replacements and achieves cost savings. * Improvement of production efficiency: Reduces downtime and enhances production efficiency. * Resolution of labor shortages: By automating monitoring tasks that relied on manual labor, it contributes to alleviating labor shortages.

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AI Solution for Tool Monitoring in Electronic Devices

Solve tool exchange losses and defects/rework losses with AI!

In the cutting process of electronic device manufacturing, issues such as product defects and rework losses due to tool wear and damage, as well as downtime caused by tool changes, have become significant challenges. This product offers a solution to these issues by utilizing AI to monitor the condition of tools in real-time. 【Usage Scenarios】 * Cutting process in electronic device manufacturing: Product defects and rework losses are occurring due to tool wear and damage, along with downtime from tool changes. * Unmanned processing at night: Due to the absence of personnel, abnormalities in tools cannot be detected, leading to the occurrence of defective products and rework tasks. * Small-batch production of various types: The frequency of tool changes is high, making management complicated. 【Benefits of Implementation】 * Cost reduction through the reduction of tool change losses and defects/rework losses * Improvement in production efficiency * Enhancement of product quality * Improvement of the working environment

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