Neural network applications in resource constrained environments
First Claim
1. A system comprising:
- a sensor located in a resource-constrained environment configured to generate first sensor data of the resource-constrained environment and second sensor data of the resource-constrained environment, wherein the first sensor data and the second sensor data are images of the resource-constrained environment;
a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data;
a second computing device located in the resource-constrained environment configured to provide the second sensor data as input to the neural network structure, wherein the second computing device is further configured to determine a state of the resource-constrained environment based on the input of the second sensor data to the neural network structure;
a controller located in the resource-constrained environment configured to control an indicator device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device,wherein the second computing device is configured to determine the state of the resource-constrained environment at least in part by determining whether an adult is present in the resource-constrained environment based on the input of the second sensor data to the neural network structure, andwherein the second computing device is configured to determine the state of the resource-constrained environment at least in part by determining whether a child is present in the resource-constrained environment based on the input of the second sensor data to the neural network structure.
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Abstract
Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.
15 Citations
18 Claims
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1. A system comprising:
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a sensor located in a resource-constrained environment configured to generate first sensor data of the resource-constrained environment and second sensor data of the resource-constrained environment, wherein the first sensor data and the second sensor data are images of the resource-constrained environment; a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data; a second computing device located in the resource-constrained environment configured to provide the second sensor data as input to the neural network structure, wherein the second computing device is further configured to determine a state of the resource-constrained environment based on the input of the second sensor data to the neural network structure; a controller located in the resource-constrained environment configured to control an indicator device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device, wherein the second computing device is configured to determine the state of the resource-constrained environment at least in part by determining whether an adult is present in the resource-constrained environment based on the input of the second sensor data to the neural network structure, and wherein the second computing device is configured to determine the state of the resource-constrained environment at least in part by determining whether a child is present in the resource-constrained environment based on the input of the second sensor data to the neural network structure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method comprising:
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generating first sensor data and second sensor data of a resource-constrained environment using a sensor located in the resource-constrained environment, wherein the first sensor data and the second sensor data are images of the resource-constrained environment; producing a neural network structure based on the first sensor data using a first computing device not located in the resource-constrained environment; inputting the sensor data to the neural network structure using a second computing device located in the resource-constrained environment; determining a state of the resource-constrained environment using the second computing device based on the input of the second sensor data to the neural network structure; and controlling an indicator device in the resource-constrained environment using a controller located in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device; determining whether an adult is present in the resource-constrained environment using the second computing device based on the input of the second sensor data to the neural network structure; and determining whether a child is present in the resource-constrained environment using the second computing device based on the input of the second sensor data to the neural network structure. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification