An AI-based monitoring system designed for institutions conducting clinical trials and proof-of-concept studies. The system offers diverse functionality and supports additional customization and modifications tailored to requesting institutions' specific needs. It helps prevent serious incidents thr...
Manufactured by
CLEVERUS
South Korea
Cleverers is a vision AI-based "anomalous behavior detection" company that has been proven for three years in hospital and nursing sites. Instead of using AI only as technology, we have created "field-specific AI" with field-oriented R&D in line with the actual ward and nursing facility operations. The flagship solution, BeClever, analyzes camera images in real time on edge devices to detect dangerous behaviors such as bed leaving, suspected falls, assault and self-harm, and provide immediate notifications through dashboard/mobile apps. It is designed to reduce alarm fatigue caused by false positives while shortening initial response time. In addition, it has applied strong security and privacy systems such as AES-256-based encryption, captured copy de-identification (mosaic), and token-based authentication to match the patient safety solution, and can operate closed networks if necessary. Cleverers has introduction and operation references at various organizations such as Pohang Semyeong Christian Hospital, National Rehabilitation Center, CareDoc Care Home, Ewha Finix Nursing Hospital, and Myeongwon Nursing Home. In 2025, it received the Prime Minister's Award at the Mobile Technology Awards hosted by the Ministry of Science and Technology and was recognized for its technology and field performance.
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An integrated AI-based medical monitoring solution for nursing hospitals, general hospitals, and home care settings. The system uses deep learning-based real-time video analysis to monitor patient behavior patterns, predict fall risks, detect bed exits, and manage pressure ulcer prevention. It provides 24-hour automated surveillance with infrared night vision support, generates real-time alerts within 1 second, and integrates with existing Hospital Information Systems (HIS) and Electronic Medical Records (EMR) for comprehensive patient safety management.
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