5 Advantages of Smart Sleep Monitor in the Elderly
With the continuous progress of science and technology, the Smart Sleep Monitor and elderly fall detection technology have brought many positive effects to the elderly.
Homerda’s “Smart Sleep Monitor” is based on millimeter wave sensing technology, the size of the palm installed in the room of the elderly, or the edge of the bathroom door, using millimeter wave radar sensing technology, has all day, high sensitivity, privacy security, and other advantages, can effectively monitor the accidental fall of the elderly. The global healthcare radar market is expected to increase to more than $20 billion by 2027, with a compound annual growth rate of 68%.
Homerda’s Smart Sleep Monitor can achieve 7X24 hours of comprehensive fall detection, once the elderly accidentally fall, they can be alerted in time. Homerda Intelligent radar fall sensor uses millimeter-wave radar technology, with a powerful algorithm and intelligent recognition function, it can sense the existence of the human body in real-time, and actively identify the fall behavior, linkage perception of alarm, for the precious treatment time for the elderly.
In addition, there is a Wi-Fi and artificial intelligence-based fall detection system for the elderly. Homerda’s Smart Sleep Monitor, which does not need to wear any wearable devices or install cameras, can accurately detect whether the elderly fall only by analyzing wireless signals and immediately sending notifications to family members or caregivers. In addition, the fall recognition system is gradually incorporating more intelligent elements, which can not only identify the fall behavior, but also further analyze the posture and injury degree of the fall person, and even predict the potential risk of secondary injury.
Homerda Fall detection fall identification system based on AI artificial intelligence and millimeter wave perception technology, using advanced millimeter wave sensing technology as information acquisition tools, through real-time monitoring and analysis of video streaming, automatically detects the old man’s abnormal behavior, especially falls, once the system detected fall, will immediately trigger the alarm. The image of the scene to the management center through the network provides valuable time for timely rescue.
The progress of related technologies, such as fall detection for the elderly, has provided a safer and more reliable living environment for them, making them more secure in life and making their families more secure.
Homerda’s Smart Sleep Monito technology has many significant advantages in fall detection in the elderly. First of all, millimeter-wave radar has the characteristics of short wavelength, wide frequency band, and strong penetration ability, and can conduct non-contact monitoring and perception of human activities in space. Whether in the bathroom, kitchen, and other slippery places, or the bedroom, living room, and other open spaces, can achieve the accurate detection of the human body. Its detection range is very wide, can accurately obtain human target information, to achieve non-contact attitude detection.
For example, the Homerda intelligent millimeter wave radar sensor can not only accurately identify the posture and movement state of the human body, timely detect the fall event, and trigger the alarm, but also has the characteristics of small size, high performance, delicate appearance, and the accuracy of millimeter wave radar induction is also very high.
Homerda’s Smart Sleep Monito can monitor the movements of the elderly in real time and has high accuracy and low false alarm rates for the monitoring of elderly falls. Homerda By upgrading the signal processing algorithm, the scientific research team has continuously optimized the analysis, carried out a large number of real scene tests, and put forward the industry-leading millimeter-wave radar holographic intelligent perception technology, which makes the fall monitoring accuracy as high as 99%, and the false positive rate is less than 1%, reaching the international advanced level. In addition, millimeter-wave radar has a strong penetration capability, which can detect changes in human posture through clothing, to accurately determine whether a fall has occurred. In practical applications, millimeter-wave sensors can be integrated into the home monitoring system, realizing real-time monitoring and automatic alarms through the linkage with other sensors and alarm systems.
Characteristics of the Elderly Fall Detection System Based on Wi-Fi and Artificial Intelligence
Fall detection system based on Wi-Fi and artificial intelligence for the elderly has many unique features. Homerda The system does not need to wear any wearable devices or install cameras. It can accurately detect whether the elderly fall only by analyzing the wireless signal and immediately send notices to family members or nursing staff. This innovative technology can not only effectively prevent the serious consequences caused by the elderly from falling, but also provide a valuable reference for the health management of the elderly by analyzing the mode of daily activity. The false alarm rate of this system is very low.
Homerda Smart Sleep Monitor’s system setting process is simple and easy to understand, and users can easily complete it through the supporting application program. In addition to fall detection, Homerda also launched a Wi-Fi home alarm system based on the same technology, which can distinguish the activities of family members and strangers, and improve family safety while reducing false positives. The system can also intelligently switch the alarm function according to the home situation of family members. In the future, it plans to integrate the system with other Wi-Fi-enabled home devices to create a fully automated smart home environment.
The principle of the Fall Detection System Monitored by the Elderly Fall Detection Camera in Nursing Homes
In the management center, the staff can view the monitoring screen in real time and respond quickly through the alarm signal output by the system. This not only greatly improves the response speed, but also provides valuable time for timely rescue. For example, a nursing home in the toilet transformation introduced the millimeter wave radar body sensors and fall detection system, when an old man falls and other accidents, the system will automatically identify, and immediately capture, the image transmitted to the management center so that the staff or staff can rushed to the scene in the first place, the necessary rescue.
How Can the Elderly Fall Detection Technology Provide A Safe Living Environment for the Elderly
Fall detection technology for the elderly provides a safe living environment for the elderly in various ways. Millimeter wave sensing technology, such as the Homerda intelligent fall radar sensor, can accurately detect the presence of the human body, whether static, micro, or motion, and real-time linkage of home equipment. Real-time monitoring of the elderly activities at night, once a fall, can immediately trigger lights, alarms, and other equipment, informing family members to rush to the scene in time. At the same time, millimeter-wave radar sensors can be linked with smart home devices to realize automatic control of life experience, improve the quality of life of the elderly, and reduce the care burden of family members.
The fall detection system based on Wi-Fi and artificial intelligence for the elderly, without wearing equipment or installing cameras, can detect the fall of the elderly by only analyzing wireless signals, providing a non-inductive monitoring experience for the elderly, and avoiding the inconvenience caused by wearable devices and the possible privacy leakage caused by cameras. In the nursing home, the elderly fall detection camera monitoring fall identification system uses machine vision technology to automatically detect the elderly fall events and transmit images to the management center in time so that the staff can respond quickly, shorten the rescue time, and provide a safer living environment for the elderly.
The fall detection system based on Wi-Fi and artificial intelligence for the elderly, without wearing equipment or installing cameras, can detect the fall of the elderly by only analyzing wireless signals, providing a non-inductive monitoring experience for the elderly, and avoiding the inconvenience caused by wearable devices and the possible privacy leakage caused by cameras. In the nursing home, the elderly fall detection camera monitoring fall identification system uses machine vision technology to automatically detect the elderly fall events and transmit images to the management center in time so that the staff can respond quickly, shorten the rescue time, and provide a safer living environment for the elderly.
