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AI abnormal noise detection solution FAST-D
Hmcomm Co., Ltd.


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■Factory/equipment management #monitoring

FAST-D remotely predicts failures of factory machinery and building equipment and monitors the operating status of production equipment. It detects abnormalities that appear in sounds and contributes to predicting failures in rotating equipment such as belt conveyors, fans and motors, and detecting broken drills. It also enables 24-hour remote inspection of a building's water pipes and air conditioning equipment.

■Completion inspection #good/fail judgment

Visualize and standardize quality judgment that relies on craftsmen AI automates quality inspections and final inspections at manufacturing plants that previously relied on the experience and abilities of engineers. By standardizing the evaluation criteria that varied depending on the person in charge, we created an environment where everyone can explain based on the evidence of "abnormal noise data." We will solve the problem of technology inheritance.

■Infrastructure inspection #good/failure judgment

Solving the problems of infrastructure inspection man-hours and road closures Infrastructure inspections have traditionally been left to manual hammering inspections. However, by introducing AI abnormal noise detection, it is possible to establish a 24-hour automatic inspection system while the equipment is in operation. In the future, this is an area where further reduction in man-hours is expected by combining this with hammering sound inspection using drones.

■Watching/Crime Prevention #Monitoring

Enables privacy-friendly monitoring of the elderly Cameras used to monitor nursing care facilities and private homes have limited visibility, and cannot be installed in changing rooms or toilets due to privacy concerns. By collecting voices, noises, and the sounds of people and objects falling, we can overcome ethical issues and help solve social issues.

■Medical site #monitoring

Expectations for remote medical treatment in the field of medical assistance By detecting abnormalities in the body such as heart sounds and lung sounds using sound, it contributes to medical examinations and health checks of hospitalized patients. Also, by visualizing abnormal sounds, it can be used to explain medical conditions to patients and provide informed consent. It is also expected to be used for remote medical treatment.

■Livestock health management #monitoring

Early detection of livestock fever and childbirth based on sounds It is possible to grasp the situation in the middle of the night when the manager is not present, and to detect abnormal noises such as livestock coughs and cries during childbirth. Even inexperienced managers can detect abnormalities early, making it possible to make decisions such as expediting a veterinary visit. This not only helps prevent infectious diseases, but also saves on-site labor and makes technology independent.

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    AI abnormal noise detection solution FAST-D

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