Reduce accident rates and lower the risk of failure to rescue
AI Fall Detection System
BNET-TECH has developed the FADELiSY AI Fall Detection System, which accurately identifies various fall postures and issues immediate alerts. This system aims to address challenges such as staff shortages, delayed reporting, and privacy concerns. It is suitable for:
Alleviate caregiver stress
Hong Kong’s medical and elderly care centers have long faced staffing shortages, making it difficult for healthcare personnel to monitor the safety of the elderly consistently while also enduring pressure from family members and various stakeholders. In response to this issue, BNET-TECH has developed the 科靈 FADELiSY Fall Detection System, aiming to leverage scientific research to alleviate these challenges.
Response delays
Staff shortages
Lack of real-time notification mechanisms
Privacy concerns
Real-Time Multi-Party Alert for Rapid Response
The 科靈 FADELiSY system has integrated devices across multiple locations. When a fall is detected, it immediately sends alerts to your mobile phone, computer, or other devices, enabling you to respond quickly and provide timely assistance.
Alarm notifications
Mobile/tablet application alerts
Computer central system notifications
When an emergency situation is detected
The alarm and notification system issues alerts in real time
Address emergency situations immediately
82% of respondents expressed satisfaction with the 科靈 FADELiSY fall detection system and its products
Application examples
The 科靈 FADELiSY system is widely trusted across various sectors and is currently implemented in up to 20 facilities, including non-profit organizations, shopping mall restrooms, public housing toilets, elderly homes, and public healthcare institutions. Before its market launch, KOLING conducted a 9-month trial program with public institutions, installing the system in four restrooms of the Neighbourhood Advice-Action Council. This allowed staff to test the system and provide feedback for continuous improvements. Users have consistently praised the product for its ease of use and effectiveness in significantly reducing staffing management pressure while ensuring the safety of those receiving care.
AI Fall Detection System with High Accuracy
The 科靈 FADELiSY AI engine has been trained on a vast dataset, with a database of 300,000 entries covering various heights, weights, ages, and genders in fall postures. This enables precise identification of fall positions, significantly reducing false alarm rates while continuously monitoring the status of those under care, thereby minimizing the occurrence of accidents.
Easy to install and use
The 科靈 FADELiSY has a coverage area of up to 3 meters by 3 meters, which is twice the size of the standard area required for accessible restrooms. It is easy to install, requiring no complex wiring or setup, allowing anyone to install and use it effortlessly.
1. Optical radar sensor – Recommended installation height is approximately 2.5 meters (installation range between 2.2 and 2.8 meters). Connectivity options include 4G, WiFi, or LAN.
2. Processor – Can be concealed in the ceiling or any location, requiring a 40W 220V power supply.
3. Alarm – Can be installed in a visible location.
No Recording to Safeguard Personal Privacy
The 科靈 FADELiSY utilizes LiDAR optical radar technology without any camera functionality, ensuring that no images or audio data are collected. This safeguards the rights related to the Personal Data (Privacy) Ordinance, alleviating concerns about behaviors or conversations being recorded or monitored, thereby addressing privacy issues effectively.
Customized Notification System
You can customize the alarm settings of the 科靈 FADELiSY according to your specific needs, such as sensitivity, alarm delay time, and notification methods. This allows for continuous monitoring of conditions in restrooms, bathrooms, patient rooms, or care facilities, enabling you to promptly detect any unusual behavior from users.
Integrated Management of Multiple Devices Across Locations
Real-Time Status Data Updates
Usage Record Analysis and Reporting
科靈 FADELiSY System Demonstration Video
Latest News
Upcoming Feature Upgrade
AI Bed Exit Detection System
科靈 FADELiSY will upgrade from a fall detection feature to a bed exit alert system designed to prevent falls in the future. Additionally, there are plans to launch a lightweight version for home use. BNET-TECH aims to make 科靈 FADELiSY more accessible, allowing more people to benefit from comprehensive protection services. The lightweight version of 科靈 FADELiSY will not only be more compact and affordable but will also significantly reduce installation constraints, enabling users to enjoy its thoughtful protection with ease.
- Images are for reference only; actual products may vary based on specific circumstances.