Abstract: A device may receive first information associated with an emergence area. The first information may include imagery data of the emergence area. The device may determine an expected commodity quantity value based on the first information. The device may determine an actual commodity quantity value based on the imagery data. The device may determine an emergence value, associated with the emergence area, based on the expected commodity quantity value and the actual commodity quantity value. The device may receive second information associated with a commodity, and may determine one or more conditions based on the second information and the emergence value. The device may determine a recommendation based on the one or more conditions, and may provide the recommendation to permit and/or cause an action to be performed in association with the emergence area.

Abstract: A device may receive first information associated with an emergence area. The first information may include imagery data of the emergence area. The device may determine an expected commodity quantity value based on the first information. The device may determine an actual commodity quantity value based on the imagery data. The device may determine an emergence value, associated with the emergence area, based on the expected commodity quantity value and the actual commodity quantity value. The device may receive second information associated with a commodity, and may determine one or more conditions based on the second information and the emergence value. The device may determine a recommendation based on the one or more conditions, and may provide the recommendation to permit and/or cause an action to be performed in association with the emergence area.

Abstract: An analytics platform may obtain anomaly information associated with a roadway anomaly. The anomaly information may be provided by a sensor system including a sensor array. The analytics platform may determine a set of filters associated with identifying the roadway anomaly as being of a particular type. The analytics platform may apply the set of filters to the anomaly information associated with the roadway anomaly. The analytics platform may identify, based on applying the set of filters to the anomaly information, the roadway anomaly as being of the particular type. The analytics platform may provide, based on identifying the roadway anomaly as being of the particular type, information associated with the roadway anomaly.

Abstract: An analytics platform may obtain anomaly information associated with a roadway anomaly. The anomaly information may be provided by a sensor system including a sensor array. The analytics platform may determine a set of filters associated with identifying the roadway anomaly as being of a particular type. The analytics platform may apply the set of filters to the anomaly information associated with the roadway anomaly. The analytics platform may identify, based on applying the set of filters to the anomaly information, the roadway anomaly as being of the particular type. The analytics platform may provide, based on identifying the roadway anomaly as being of the particular type, information associated with the roadway anomaly.

Abstract: A user experience analysis system to measure a user experience associated with a computer desktop may include an event capture subsystem and a duration analysis subsystem. The event capture subsystem may capture videos of the desktop before and after an infrastructure change. The duration analysis subsystem may analyze the videos to determine and compare durations of events occurring in the desktop that are captured in the videos, and determine changes in user experience based on the analysis.

Abstract: In general, a method performed on a vehicle includes determining that the vehicle is located within a predetermined range of a beacon, the beacon being associated with a beacon identification, navigating the vehicle to a first location based on determining that the vehicle is located with the predetermined range, generating a first report based on determining that the vehicle is located at the first location, the generating including: specifying the beacon identification, recording navigation data that includes an altitude, a distance from the beacon, and a bearing relative to the beacon, and recording environmental data. The method further includes transmitting the first report from the vehicle to a base station, the first report including the beacon identification, the navigation data, and the environmental data.

Abstract: A user experience analysis system to measure a user experience associated with a computer desktop may include an event capture subsystem and a duration analysis subsystem. The event capture subsystem may capture videos of the desktop before and after an infrastructure change. The duration analysis subsystem may analyze the videos to determine and compare durations of events occurring in the desktop that are captured in the videos, and determine changes in user experience based on the analysis.

Abstract: In general, a method performed on a vehicle includes determining that the vehicle is located within a predetermined range of a beacon, the beacon being associated with a beacon identification, navigating the vehicle to a first location based on determining that the vehicle is located with the predetermined range, generating a first report based on determining that the vehicle is located at the first location, the generating including: specifying the beacon identification, recording navigation data that includes an altitude, a distance from the beacon, and a bearing relative to the beacon, and recording environmental data. The method further includes transmitting the first report from the vehicle to a base station, the first report including the beacon identification, the navigation data, and the environmental data.

Abstract: In general, a method includes receiving environmental information collected by an unmanned aerial vehicle (UAV), the environmental information being associated with one or more conditions of a data center, storing the environmental information on one or more memory devices that are accessible by the one or more computing devices, determining, based on the environmental information, that an event has occurred, and performing, by the one or more computing devices and based on determining that the event has occurred, one or more actions.