BEDSOREM is a bedsore management device that uses machine vision and AI technology to quickly and accurately measure and analyze bedsore patients so that they do not create a temperature and humidity environment in which bedsores can occur.

In other words, it was developed to provide patient (user) customized skin aging management and sleep posture data through 'Machine Learning Breeding Exercise Numerical Analysis'.

BEDSOREM analyzes patient lying shape and position data calculated by the camera and piezoelectric sensor on the machine vision hardware with 98% accuracy with its own machine learning 'BEDSOREM-#1 algorithm'. The data have diagnostic accuracy similar to that of a specialist, enabling faster measurement and analysis.

The biggest advantage of this product is that you can use expensive equipment without additional purchases and reduce economic losses by preventing bedsore diseases.

BEDSOREM analyzes patient lying shape and position data calculated by the camera and piezoelectric sensor on the machine vision hardware with 98% accuracy with its own machine learning 'BEDSOREM-#1 algorithm'. The data have diagnostic accuracy similar to that of a specialist, enabling faster measurement and analysis.

The biggest advantage of this product is that you can use expensive equipment without additional purchases and reduce economic losses by preventing bedsore diseases.