US 12,490,712 B2
Sensing and integrating data of environmental conditions in animal research
Robert J. Tindal, Birmingham, AL (US); Erik Dohm, Trussville, AL (US); Sam Misko, Birmingham, AL (US); Samuel Cartner, Birmingham, AL (US); Jaret Langston, Hoover, AL (US); Pam Bounelis, Mountain Brook, AL (US); Rachana Kotapalli, Alpharetta, GA (US); and Emma Latham Godwin, Quinton, AL (US)
Assigned to THE UAB RESEARCH FOUNDATION, Birmingham, AL (US)
Appl. No. 17/431,960
Filed by THE UAB RESEARCH FOUNDATION, Birmingham, AL (US)
PCT Filed Mar. 20, 2020, PCT No. PCT/US2020/023906
§ 371(c)(1), (2) Date Aug. 18, 2021,
PCT Pub. No. WO2020/191312, PCT Pub. Date Sep. 24, 2020.
Claims priority of provisional application 62/821,096, filed on Mar. 20, 2019.
Prior Publication US 2022/0117191 A1, Apr. 21, 2022
Int. Cl. A01K 1/03 (2006.01); H04L 67/12 (2022.01); H04R 1/40 (2006.01); H04R 3/00 (2006.01)
CPC A01K 1/031 (2013.01) [H04R 1/406 (2013.01); H04R 3/005 (2013.01); H04L 67/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A collection device system, comprising:
a sensor array configured to sense a micro-environment of a cage, the sensor array being secured to at least a first portion of the cage by a fastener element;
at least one adjustable bracket adapted to removably mount at least a portion of a housing for a micro-environment monitor of the collection device to a second portion of the cage;
a neural network model trained to classify audio content captured by the sensor array or measurements provided by the sensor array;
the micro-environment monitor, comprising:
a network interface;
at least one processor; and
program instructions stored in memory and executable by the at least one processor that, when executed, cause the micro-environment monitor to at least:
process, by applying the neural network model to generate a classification, the at least one of the audio content captured by the sensor array or the measurements provided by the sensor array; and
send the classification to a computing environment using the network interface; and
the computing environment comprising a server computer that is communicatively coupled to a plurality of micro-environment monitors for a plurality of cages, wherein the plurality of cages includes the cage and the plurality of micro-environment monitors include the micro-environment monitor, wherein the server computer is configured to receive and analyze a plurality of classifications from the plurality of micro-environment monitors and detect an anomaly that exists for the cage when compared to other cages of the plurality of cages.