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Essence SmartCare is transforming senior care with nearly invisible and non-intrusive AI-powered solutions seamlessly operating in the background, allowing individuals to live their lives to the fullest without disruption.
We are driven by a vision of a future where AI not only protects but also empowers individuals to live their lives with dignity and independence with a seamless user experience, blending into the fabric of everyday life.
Our mission is to create an environment where our products integrate so smoothly into daily life that they are hardly noticed. We believe in the beauty of human diversity, and our AI systems are designed to learn and adapt to individual routines, celebrating the unique characteristics of each person while prioritizing safety. It’s about creating a personalized care experience that respects independence and dignity.
We believe that technology should enhance the human experience, allowing individuals to live life to the fullest, surrounded by peace of mind.
This system represents a groundbreaking advancement in monitoring the activities of daily living (ADL) for the elderly. By learning the routines of individuals living alone, our machine learning algorithms are able to detect and alert caregivers to deviations that may indicate an emergency or significant change in the person’s health.
Through a system of nonintrusive, no cameras radars and sensors, the AI learns the routine of the person in the house and can indicate a change in routine and adjust the rules without human intervention. The synergy between server-based predictions and on-device analysis ensures that our system functions as a cohesive, intelligent unit.
The latest version of our control panel includes advanced AI for improved voice activation. By better distinguishing genuine calls for help from background noise or similar-sounding phrases, we have significantly reduced false alarms, enhancing the reliability of our emergency response system.
Our panels support the ability for a person to call out for help instead of pushing a button, ensuring assistance is accessible even if they cannot reach the device. This improvement ensures that help is summoned only when truly needed, providing greater peace of mind to users and their families.
The fall detection radar uses RADAR technology to identify when a person is lying on the floor. Our deep learning model has been trained on over 20,000 body positions with people of all size and age, enabling it to recognize falls with remarkable precision. Unique in its battery-powered operation, MDSense offers easy installation and maintenance without the need for electrical wiring.
Our fall radar features an exclusion zone capability, where it learns to ignore specific areas that do not signify a fall. This adaptive learning continues post-installation, accommodating changes in the room layout without requiring reconfiguration.
The Umbrella MPERS is a wearable fall detection system that combines an accelerometer and a gyroscope to monitor speed and angular changes across three dimensions. This data is processed through a deep learning algorithm, specifically a Convolutional Neural Network (CNN), to accurately detect falls while minimizing false alarms. Our extensive research, involving diverse populations, ensures the high level of accuracy in fall detection.
A key differentiation factor enabled by our AI capabilities is the ability to detect falls from waist height. Our algorithm can analyze acceleration and angle, allowing users to choose where they want to place the device
