Features
On-Device Edge Computing

Data processing and analysis are performed on-device through edge computing. This minimizes data exposure, improves real-time processing and response times.

Motion Recognition Algorithm

We have developed an algorithm that defines a series of movements and detects situations where a person falls. This system can distinguish between normal movement and abnormal behavior such as falling.

Privacy Protection through Anonymization

By removing or altering information that can identify individuals, anonymization plays a key role in protecting personal privacy while maintaining the usefulness of data.

High-definition IP cameras are used to detect falls.

High-definition IP cameras can live stream or store video, and this data can be accessed remotely over a network. This is useful for security surveillance, video monitoring and recording, and streaming media.

Objecttracking technology isused to analyze falls.

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Object Tracking System

The object tracking system recognizes movement from the camera through Human Keypoint Detection. If the movement of a tracked object shows signs of falling, the system attempts to track that object.

Vision AI Technology

Through video processing and pattern recognition to identify and track fallen objects. The object recognition and tracking algorithm recognizes objects and continuously generates tracking paths to monitor the movement of the objects.


Real-timeMonitoring System

The system continuously monitors data, and if a fall or other dangerous situation is detected, it immediately triggers an alarm and can send notifications to administrators, security teams, or emergency services.

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Project

Detecting, Analyzing, and Reporting Falls,

known as fall detection technology, is primarily used in various environments such as hospitals, nursing homes, commercial facilities, large events, transportation systems, smart cities, and security systems. This technology is designed for the safety of people and plays a crucial role in responding to emergencies caused by falls.

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Seamlessly integrating fall detection technology into existing hardware systems is our focus, offering a range of options to ensure error-free implementation.

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Recommended for places like these.

Sports and Fitness Centers

Real-time detection of falls and injuries during exercise is possible, allowing for swift response to emergencies. This technology also contributes to the improvement of exercise programs and safety guidelines.

Public Places and Large Events

This technology plays a crucial role in monitoring the safety of people, rapidly detecting falls or emergency situations, thereby enhancing safety management in public places.

Silver Towns and Nursing Homes

It enables real-time alerts for falls, including bed falls, with the integration of non-identifiable technology

All that computing,with supergate

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Creating a Convenient and Secure Daily Life with New Computing Technology.

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