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【2019 Solutions】 Aurora Information 'AU Care Recognition Service System' Aiming at a 15 Billion Business Opportunity by Enhancing Medical Completion Rates

As the population ages, home care has become a universal issue. In the face of low medical staff ratios, whether in hospitals or external care facilities, medical personnel face the challenge of insufficient manpower. Aurora Information has introduced the 'AU Care Recognition Service System', aiming to enhance medical completion rates through AI and 3D imaging technology.

Aurora Information introduces the 'AU Care Recognition Service System' using non-contact 3D imaging technology to instantly detect patient movements and physiological data from beds, significantly enhancing medical completion rates.

AU Care Recognition Service Hardware Display
The 'AU Care Recognition Service System' incorporates Time-of-Flight (ToF) and mmWave Radar sensing technologies, coupled with point cloud and mmWave deep learning analysis AI algorithms, significantly strengthening computer vision and image processing capabilities.

Preserving Personal Privacy While Precisely Monitoring Patient Admission Status

Aurora Information recently showcased the 'AU Care Recognition Service System' at the AI HUB conference. With the use of Time-of-Flight (ToF), mmWave Radar, and other sensing technologies, along with point cloud and mmWave deep learning analysis of AI algorithms, it greatly enhances computer vision and image processing capabilities. Additionally, unlike traditional cameras that raise personal privacy concerns, this system uses non-contact 3D imaging technology for tracking bed exits and physiological data, providing instant notifications to users. The system offers long-range, multi-target, high accuracy, continuity, and persistence advantages, all while maintaining patient privacy and precisely monitoring various admission statuses.

3D Imaging Presented Through Temperature on the Screen
Through 3D imaging technology, when detecting potential danger actions like falls or tremors on the screen, it can immediately alert designated personnel or medical stations within 3 seconds, lowering the chances of sudden patient deaths.
AU Care Recognition Service System Physiological Data Display Graph
The 'AU Care Recognition Service System' also measures heart rate, respiration, and other physiological data, using AI algorithms to predict the likelihood of sudden death.

3D Imaging Technology for Immediate Reflection of Patient Emergency Situations

How does it work in practice? Suppose a patient falls out of bed when unattended, traditionally, they could only passively wait for help. However, with the 'AU Care Recognition Service System' using 3D imaging technology to detect actions such as falls or tremors, it can immediately notify designated personnel or medical stations within 3 seconds, reducing the chances of sudden death by 20%; it also measures heart rate, breathing, and other physiological data, using AI algorithms to assess the risk of sudden death, potentially reducing the death rate by over 40%. Moreover, the system can simultaneously assess multiple patients, infants, and the elderly, enhancing timely care efficiency by more than 20%, thereby significantly lightening the burden on medical staff.

AI Care Smart Detection Interface, Displaying Floors and Abnormal Situations
Through the smart monitoring interface, medical personnel can clearly see real-time conditions in hospital wards or stairways, with intuitive icons helping them grasp the situation immediately.

Amidst the global challenges of aging and chronic diseases leading to high medical care costs, the 'AU Care Recognition Service System' effectively addresses the pain point of insufficient medical care. According to the medical data released by the Ministry of Health and Welfare last year, if the 'AU Care Recognition Service System' were to be standardized, the market size for Taiwan's medical care institutions alone would be as high as 15 billion NTD. Currently, Aurora Information is actively cooperating with the government, universities, and nonprofit organizations, hoping to contribute to medical care.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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【解決方案】台灣軟體科技實力媲美國際 Golface智慧服務促高球轉型
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