Hippocrates Series (Healthcare Solution)

Hippocratic Series (Smart Healthcare)

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Introduction

Following the aging society and the expanding demand for health care, artificial intelligence assistive health care has become a trend. However, the privacy concern on image portrait and delivery is of an important issue for care centers. Therefore, sensing devices such as radar, iToF and Lidar are used instead of RGB camera on image formation, which can ease the portrait privacy concerns, detect behaviors and physiology, return the falling status and physiological information in real time, reduce the manpower to measurement and care time, and reduce the risk while the patients are unattended.

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Smart Healthcare Solutions
24/7 care without blind spots

Following the aging society and the expanding demand for health care, artificial intelligence assistive health care has become a trend. However, the privacy concern on image portrait and delivery is of an important issue for care centers. Therefore, sensing devices such as radar, iToF and Lidar are used instead of RGB camera on image formation, which can ease the portrait privacy concerns, detect behaviors and physiology, return the falling status and physiological information in real time, reduce the manpower to measurement and care time, and reduce the risk while the patients are unattended.

EZ BioSign Analytics
Smart Healthcare Solutions
EZ BioSign Analytics

EZ BioSign Analytics uses radar sensing technology to obtain chest fluctuation data, analyzes respiration and heartbeat combined with AI algorithm, senses the BioSign condition of users at any time, and keeps physiological records at each time.

EZ BioSign Analytics is different from wearable devices, as it can obtain data from a remote location without contacting the user, taking into account the situation of not using wearable devices, and providing more real-time and burden-free check for BioSign conditions.

EZ Fall Detection
Smart Healthcare Solutions
EZ Fall Detection

EZ fall detection uses Lidar sensing technology to obtain depth image information, and combines AI algorithm to analyze fall behavior and posture, so as to accurately rule out misjudgment opportunities such as squatting, sitting down and crawling.

Combined with ward care system, EZ fall detection can detect the human body's fall posture and give an alarm in real time, grasp the rescue time, reduce the need for regular patrol inspection, and replace RGB images with depth information to protect the privacy of the cared-for, and provide safer care in the privacy field.

Video Surveillance Center
Smart Healthcare Solutions
Video Surveillance Center

All recording servers are connected to each other. Because of EZ Pro's cellular architecture host, users do not need to prepare a central management server for monitoring. The administrator only needs to log in to any designated host to monitor the status of the camera at any point, and even directly remotely operate the system.
In addition, this project also needs a "backup function" to ensure that the camera will not be terminated or interrupted during recording. These functions can effectively reduce the cost of the camera and the system, which is a very competitive approach compared to other competitors.

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EZ BioSign Analytics
EZ Fall Detection
Video Surveillance Center

Features

Fall detection uses depth (Lidar, iToF) sensing device to generate a field depth map, judge portrait behavior, identify fall action, and distinguish similar behavior to reduce misjudgment, so as to achieve the purpose of immediate return and reduce the number of inspections of nursing manpower.

Physiological induction detection detects respiratory and heartbeat remotely through radar, which can still be implemented in private places as well as bathrooms and other specific fields without using wearable devices, so that there is no dead angle in the care space and risks are greatly reduced.

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Core Feature

Differing from the recognition algorithm based on RGB image in the past, the behavior detection is established through point cloud map to depth map that accurately distinguish the movement difference and slight chest fluctuation. It is applied to the medical environment and the fields that wearable devices can't be equipped, forming an instant care information transmission network, and providing real-time and 24 hours basic care and physiological information.

High Accuracy and Recognition Speed

Using AI deep learning technology, the engine can be adjusted to high accuracy for special environments and fields.

Platform with Complete Functions

The user-friendly management interface includes functions such as management, linkage control, recording, and instant notification, which are easy to operate and clearly presented.

Rich Experience in Cooperation

With a lot of smart transportation cooperation experience, we will plan the most suitable plan for you.

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Why Choose Hippocrates Series?

Deep Learning Technology

Each product has an independent deep learning algorithm, which can adjust the engine to higher accuracy in various special environment changes.                                                                                        

Optimized Software Architecture

Self-built high-efficiency, low-computing streaming server and database, supports more cameras for AI recognition, and can recognize multiple objects on the same screen.

Complete API and SDK Files

It is easier to integrate with other devices or solutions.                                                                                                                                                                                                                                                                                                                                                  

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