Analyze sounds generated by machinery using AI. Automate inspection tasks that relied on human ears, and utilize it for predictive maintenance and anomaly detection!
The "FAST-D Monitoring Edition" is a service that can be utilized for preventive maintenance and predictive maintenance. It analyzes the sounds emitted by machines and equipment using AI, enabling early response to failures and determining the timing for parts replacement. ■Problems that can be solved - There are times when sudden failures occur, causing trouble. - Daily maintenance requires a lot of labor. - I want to predict failures, but I don't know the signs. - There is a shortage of personnel who can make good or bad judgments. - Machines and equipment are located in hard-to-access areas. - I want to monitor the condition, but the costs are too high. ■Cover multiple machines and equipment with one FAST-D Monitoring Edition It can determine abnormal sounds for an entire area (multiple units). (For 70db, it covers a radius of about 3-5m.) ★If you want to pinpoint the source of abnormal sounds, we recommend the following product. Product name: Abnormal Sound Detector (IoN SHINTEC) https://www.ipros.jp/product/detail/2000035887
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basic information
■System Overview Edge terminals (mini PCs) and microphones are installed on-site, and you can use the system simply by accessing a dedicated cloud from your PC. *An internet connection is required separately. ■Basic Functions - Sound Collection: Collecting sound when operating normally. - Model Creation: Creating an AI model from the collected data. - Monitoring: Comparing the created model with sound after operation begins, displaying differences in sound as numerical values. Checking recorded data during abnormal judgment. - Other Settings: Adjusting abnormal judgment levels and notification settings, etc. Reference: What is AI Abnormal Sound Detection? AI abnormal sound detection is a technology that uses machine learning to distinguish between sounds produced when machines, objects, or living beings are operating normally and sounds produced during abnormal conditions, aiding in stable monitoring, abnormal detection, and anomaly prediction. It is an initiative to teach AI the insights judged by the ears of skilled craftsmen, and it is believed that "everything that can be detected by human ears is detectable." Sound-based abnormal sound detection can be utilized across a wide range of industries and sectors, including abnormal detection in factory infrastructure, non-destructive testing, machine sound detection, as well as footfalls, security, human sounds, and animal vocalizations.
Price information
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Delivery Time
※About 1.5 months
Applications/Examples of results
■Usage We excel at abnormal detection of rotating machinery such as pumps, belt fans, and motors. ■Practical Example: Reduced workload of patrol inspection operations by 15% Although there are new employees every month, the knowledge for equipment patrol operations was not being accumulated due to someone leaving each month, resulting in the situation where only veteran workers were conducting the inspections. By utilizing the FAST-D Monitoring Edition, the explanation of inspection items related to sound became easier, allowing us to delegate work to new members. ★If you want to pinpoint the source of abnormal noise, we recommend the following product. Product Name: Abnormal Noise Detector (IoN SHINTEC) https://www.ipros.jp/product/detail/2000035887
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Company information
Based on the experience cultivated in the automotive industry, we contribute through solutions utilizing transport robots (Automated Guided Vehicles - AGV), VR, and manual production. By integrating robotics and digital technology, we support all aspects of our customers' business development, production, sales, and services through solution proposals. <Official Website> https://www.shcl.co.jp/ <Official SNS> ◆YouTube: https://www.youtube.com/channel/UCrYf9b5DMkJcpsz1sG3W42w ◆Instagram: https://www.instagram.com/shintechozumi_official/?hl=ja