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; and
a controller located in the resource-constrained environment configured to control an indicator device 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 abandoned item 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.
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Citations
20 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; and a controller located in the resource-constrained environment configured to control an indicator device 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 abandoned item 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)
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9. A method comprising:
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generating first sensor data of a resource-constrained environment and second sensor data of the 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; produce a neural network structure based on the first sensor data using a first computing device not located in the resource-constrained environment; inputting the second 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 using a controller located in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device, wherein the determining the state of the resource-constrained environment comprises determining whether an abandoned item is present in the resource-constrained environment based on inputting the second sensor data to the neural network structure. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. 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; and a controller located in the resource-constrained environment configured to control an indicator device 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 the state of the resource-constrained environment deviates from a normal state of the resource-constrained environment. - View Dependent Claims (18, 19, 20)
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Specification