Back to results
US 11,308,595 B1Granted
Thermal anomaly detection and classification
AssigneeDescartes Labs, Inc.
InventorsClyde Bennet Wheeler, Hang Zhou
Life of this patent
Estimating the term…
Abstract
A set of images is received. A thermal anomaly is detected in the received set of images. The detected thermal anomaly is classified. Examples of classifications of thermal anomalies include: stationary targets, gas flares, agricultural anomalies, and wildfires. An action is taken based at least in part on the classified detected anomaly.
Claims23
A system, comprising:
- a processor configured to:
- receive a set of images, wherein a first image included in the received set of images is associated with location information;
- detect a thermal anomaly using the received set of images;
- determine a classification for the detected thermal anomaly, using a set of criteria corresponding to a plurality of predetermined thermal anomaly types, wherein determining the classification includes determining whether the detected thermal anomaly is associated with a particular type of thermal anomaly included in a predetermined set of thermal anomaly types, at least in part by using the location information to determine whether the detected thermal anomaly is associated with a stationary target, and wherein at least one thermal anomaly type included in the predetermined set of thermal anomaly types includes a thermal anomaly that has a non-vegetation fuel source;
- and
- in response to detecting an ignition event, take an action based at least in part on the classified detected thermal anomaly;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
5 more elements
A method, comprising:
- receiving a set of images, wherein a first image included in the received set of images is associated with location information;
- detecting a thermal anomaly using the received set of images;
- determining a classification for the detected thermal anomaly, using a set of criteria corresponding to a plurality of predetermined thermal anomaly types, wherein determining the classification includes determining whether the detected thermal anomaly is associated with a particular type of thermal anomaly included in a predetermined set of thermal anomaly types, at least in part by using the location information to determine whether the detected thermal anomaly is associated with a stationary target, and wherein at least one thermal anomaly type included in the predetermined set of thermal anomaly types includes a thermal anomaly that has a non-vegetation fuel source;
- and
- in response to detecting an ignition event, taking an action based at least in part on the classified detected thermal anomaly.
2 more elements
A non-transitory computer readable medium storing a computer program product comprising computer instructions for:
- receiving a set of images, wherein a first image included in the received set of images is associated with location information;
- detecting a thermal anomaly using the received set of images;
- determining a classification for the detected thermal anomaly, using a set of criteria corresponding to a plurality of predetermined thermal anomaly types, wherein determining the classification includes determining whether the detected thermal anomaly is associated with a particular type of thermal anomaly included in a predetermined set of thermal anomaly types, at least in part by using the location information to determine whether the detected thermal anomaly is associated with a stationary target, and wherein at least one thermal anomaly type included in the predetermined set of thermal anomaly types includes a thermal anomaly that has a non-vegetation fuel source;
- and in response to detecting an ignition event, taking an action based at least in part on the classified detected thermal anomaly.
1 more element
Dependencies are inferred from the claim text.