Butlr Technologies, Inc.

Jiani Zeng

Honghao Deng

Yan Zhang

Ziran Zhang

Frances Jillian S Qua

Tengfei Chang

Andy Stubbs

Ioanna Sotiriou

Kaidong Zhou

Rudrasis Chakraborty

The system includes a wireless network that combines the functionality of the sensors with the formation and maintenance of the network, while balancing the network with the minimization of the energy consumed by the entire system. The system may include nodes, gateways, coordinators, extension sensors and boosters. The system may perform a method comprising applying a known load to a battery in a first node; measuring a voltage drop in the battery; determining an internal resistance of the battery; estimating a remaining life in the battery based on the internal resistance; and in response to the remaining life being below a remaining life threshold, re-directing, by a first gateway, signals in a mesh network away from the first node and to one or more of a plurality of nodes interfacing with the first node, wherein the first gateway interfaces with the first node and a network.

Energy efficient wireless network of sensors

The system may provide the functionality for posture detection by using a pose detection algorithm on reduced resolution images. The method may comprise receiving an image of a human from a sensor; receiving a placement of a bounding box on the image, wherein the bounding box contains pixel data of the human in the image; acquiring bounding box data from within the bounding box; and determining a pose of the human based on the bounding box data.

Pose detection using thermal data

The system is configured to locate, track and/or analyze activities of living beings in an environment. The system does not require the input of personal biometric data. The sensor system detects infrared (IR) energy from a living being moving in an environment, determines a temperature of the living being based on IR energy data of the IR energy, projects the temperature onto a grid having sequential pixels, determines serial changes of the temperature in the sequential pixels and determines a trajectory of the living being based on the serial changes of the temperature in the sequential pixels.

Thermal data analysis for determining location, trajectory and behavior

The system may include a setup app that is configured to locate, track and/or analyze activities of living beings in an environment. The system may be configured for determining a temperature of an object in a space, based on infrared (IR) energy data of IR energy from the object, determining location coordinates of the object in the space, comparing the location coordinates of the object to location coordinates of a fixture and determining that the object is a human being, in response to the temperature of the object being within a range, and in response to the location coordinates of the object being distinct from the location coordinates of the fixture.

Determining an object based on a fixture

User interface for determining location, trajectory and behavior

Monitoring human location, trajectory and behavior using thermal data

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Belmont, CA, United States of America

Jiani Zeng