US 12,169,954 B2
Neural network combining visible and thermal images for inferring environmental data of an area of a building
Francois Gervais, Lachine (CA)
Assigned to DISTECH CONTROLS INC., Brossard (CA)
Filed by Distech Controls Inc., Brossard (CA)
Filed on Apr. 6, 2018, as Appl. No. 15/947,157.
Prior Publication US 2019/0310589 A1, Oct. 10, 2019
Int. Cl. G05B 13/04 (2006.01); F24F 11/63 (2018.01); G05B 13/02 (2006.01); G06V 10/143 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); H04N 5/33 (2023.01)
CPC G06V 10/143 (2022.01) [F24F 11/63 (2018.01); G05B 13/027 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); H04N 5/33 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A computing device for inferring via a neural network environmental data of an area inside a building based on visible and thermal images of the area, the computing device comprising:
memory for storing a predictive model of the neural network generated by a neural network training engine; and
a processing unit for:
determining a visible image of an area inside a building based on data received from at least one visible imaging camera;
determining a thermal image of the area inside the building based on data received from at least one thermal imaging device; and
executing a neural network inference engine using the predictive model of the neural network for inferring outputs based on inputs, the outputs comprising a number of persons currently present in the area and at least one of the following: at least one current temperature value for the area, and at least one current luminosity value for the area, the inputs comprising the visible image and the thermal image.