エヌ・ティ・ティ・データCCS Product Lineup

The auditory sensory testing package eliminates variations in testing accuracy by examiners in traditional auditory sensory tests and reduces quality degradation due to environmental noise, utilizing AI technology to achieve high-quality testing even in high-noise environments. Additionally, it removes discrepancies in operators' senses and missed sounds, providing high-precision and consistent testing through automation, while enabling accurate recording and data accumulation of test sounds, thereby reducing the burden on operators and improving productivity through the automation of the testing process. 【Benefits of Implementation】 1. Elimination of sensory differences and missed sounds by operators - Achieves high-precision testing by eliminating human sensory differences and missed sounds, minimizing human errors. 2. Reliable testing in high-noise environments - Ensures reliable quality judgment even in high-noise environments through contact microphones, avoiding quality degradation. 3. Accurate recording and data accumulation of test sounds - Enables reliable recording and data accumulation of test sounds, providing a foundation for future quality improvements. 4. Increased productivity through automation of the testing process - Automates the testing process, achieving efficient production and contributing to productivity enhancement. For more details, please download the PDF or feel free to contact us.

• Other inspection equipment and devices

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 personnel in inspections, leading to improved quality. By using a contact microphone to collect sounds conducted from metal, clear sounds can be obtained 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 or 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 via PDF download.

• others

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:** Monitors machine sounds in real-time and detects abnormal sounds. This allows for early detection of equipment malfunctions and failures, reducing unexpected troubles and contributing to cost savings through efficient maintenance. - **Improvement of Manufacturing Process Quality:** By detecting subtle abnormal sounds and defects, it is expected to enhance product quality. 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:** Continuous support after implementation helps facilitate early utilization. For more details, please download the PDF or feel free to contact us.

• Other production management systems