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エヌ・ティ・ティ・データCCS

addressTokyo/Shinagawa/4-12-1 Higashishinagawa, Shinagawa Seaside South Tower
phone03-5782-9499
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last updated:Sep 20, 2023
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Abnormal Sound Detection Solution 'Monone'

Achieving high-precision abnormal sound detection with contact microphones and AI, contributing to the automation of inspection processes. Usable with just a PC and a microphone.

The abnormal sound detection solution "Monone" is a system that can detect abnormalities in motors, equipment, and products with high precision using AI. It enables the automation and reduction of labor in inspections, leading to improved quality. By using a contact microphone to collect sounds conducted from metal, it captures clear sounds without picking up surrounding noise. There is no need for individual noise filtering, making it easy to implement. 【Features】 ■ AI models are created using only normal sounds, eliminating the need for collecting and tagging abnormal sounds. ■ Implements two feature extraction algorithms: variable sound analysis and FLAC. ■ Capable of outputting diverse graphs that capture sound characteristics from various perspectives. ■ A simple configuration that can be started with just a PC and a microphone. * "Product materials" and "case studies" are currently available. Please check them out via PDF download.

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AI visualizes the sounds of objects - Abnormal Sound Detection Solution Monone.

AI automates abnormal sound detection on behalf of humans! Contributing to product manufacturing defects, equipment malfunctions and failures, and smart maintenance of products.

Monone, which utilizes an AI algorithm trained on sound, detects abnormalities in objects and equipment quantitatively and with high precision, without relying on human experience or intuition. This enables reliable abnormal sound detection, leading to labor-saving maintenance and inspection tasks, as well as reduced inspection costs. Monone minimizes losses due to failures, ensures the stability of production processes, and greatly contributes to manufacturing digital transformation (DX). 【Why Monone?】 - Early trouble detection is possible By monitoring machine sounds in real-time and detecting abnormal noises, early detection of equipment malfunctions and failures is made possible, reducing unexpected troubles and contributing to cost savings through efficient maintenance. - Improvement of manufacturing process quality By detecting subtle abnormal sounds and defects, an improvement in product quality can be expected. It strengthens quality control and prevents the production of defective products. - Increased production efficiency Early detection of troubles and preventive maintenance increase the normal operating time of machines, improving production efficiency and the overall efficiency of the manufacturing process. - After support Continued support after implementation helps facilitate early utilization. For more details, please download the PDF or feel free to contact us.

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