People Power debuts Artificial Intelligence-powered location detection microservice solving geofencing limitations for smart home services

Adding to the company’s growing lineup of Artificial Intelligence-powered (AI) microservices for the smart home, People Power, the Internet of Things (IoT) software company providing white-label solutions for home security, energy and senior care service, announced on Wednesday its new Home Occupancy Status Microservice.

Providing a remedy for poorly performing GPS-based geofencing solutions that require people to carry their phones with them, the new microservice intelligently detects and understands occupancy conditions of a home based on motion patterns derived from activity sensors. Complex occupancy status decisions are made quickly and accurately from sensor data through a combination of patent pending machine learning algorithms, designed to determine the four essential occupancy states of home, away, vacation and sleep along with the transitions between those states.

Highly complex algorithms extract several dozen dimensions of occupancy factors in the home from thousands of data points, including the day, time, door activity, motion activity, energy and water use, supporting geofencing data and more.

An IoT software company specializing in the development of consumer smart home solutions delivered through service provider brands, People Power leads the industry in white-label IoT services with patented AI technology for recurring revenues in energy, security and care markets. People Power introduces true intelligence into the home, enabling service providers to rapidly offer differentiated services to address growing consumer market opportunities.

People Power’s Home Occupancy Status Microservice offers geofencing without dependence on a smartphone; Artificial Intelligence (AI) determines occupancy automatically; solves geofencing problems for multi-tenant occupancy; revolutionary development of sleep mode detection; and an easy geofencing solution. It delivers occupancy modes identified with a minimum of two sensors, and new services are possible for security, energy and senior care.

The Home Occupancy Status Microservice is also capable of knowing when people are asleep to deliver advanced automation, senior care and wellness solutions from understanding a person’s natural sleep patterns. Able to put a home to sleep or wake it up gently to better prepare residents for the day, improvements to a person’s circadian rhythm are possible through sleep predictions to adjust home temperature and lighting conditions appropriate for the time of day, the day itself, and even the season.

Senior care solutions become more intelligent and supportive by understanding away, at home, asleep or awake states of older adults. With its ability to integrate hundreds of wirelessly connected smart home devices from manufacturers including Bosch, Philips, Centralite, Linkhigh International, and others, the new microservice becomes a vital component to People Power’s white label consumer offerings.

The microservice is designed to replace conventional GPS-based geofencing, is simple on the surface, but complex behind the scenes. The Home Occupancy Status Microservice is an AI- powered solution that depends on at least two wirelessly connected sensors positioned in the home and a combination of machine-learning algorithms to operate intelligently and naturally in the background of peoples’ lives to help make critical decisions.

To enable the microservice, entry and motion sensors are positioned in the home and perform collaboratively to capture essential motion data. These People Power-certified sensors are the basis and definition of any smart home. They are inexpensive, pair reliably with a People Power-developed mobile app, and install in minutes.

Powered by a small lithium ion battery, the sensors perform for more than a year before battery replacement is necessary. Installed in or around the kitchen – the soul of every home – the sensors detect motion from which data is derived to fuel intelligent decisions. Addressing essential privacy concerns, this solution does not capture or depend on image-based facial recognition to determine occupancy status of the home.

Complex occupancy status decisions are made quickly and accurately from sensor data through a combination of patent pending machine learning algorithms designed to determine the four essential occupancy states of home, away, vacation and sleep, and the transitions between those states. These highly complex algorithms produce more than 10 dimensions of occupancy factors in the home, including the day, time, door activity, motion activity, energy and water use, supporting geofencing data and more.

Determinations are then made from data sets to accurately identify modes of occupancy. Historical data helps to automatically classify occupancy status and develop robust machine learning models that deliver increased levels of accuracy over time.

“A fundamental technical blocker for the next generation smart home is the phone-based geofencing solutions of today, which sadly cannot keep pace with customer needs,” said David Moss, CTO of People Power. “With our new AI-powered microservice, residents can now enjoy the convenience of having their smart homes automatically switch occupancy modes for greater levels of convenience, ease of use and dependability.”

 


IoT Innovator Newsletter

Get the latest updates and industry news in your inbox! Enter your email address and name below to be the first to know.

Name