International Business Machines Corporation

Daniel F Hogerty

Yuk Lung Chan

Eileen Patricia Tedesco

Kyle Gilbertson

Lawrence Alfred Clevenger

Benjamin David Briggs

Kyle E Gilberston

A station for compliance testing of unmanned vehicles comprises a dedicated area for acceptance of an unmanned vehicle. The dedicated area is configured for permitting the unmanned vehicle to be in a first inspection position. The station further comprises a transmitter. The transmitter is directed towards the dedicated area. The transmitter is configured to instruct the unmanned vehicle to perform a behavior. The station further comprises a sensor. The sensor is directed towards the dedicated area. The sensor is configured to detect a non-compliance of the unmanned vehicle. The detected non-compliance is in response to the instructed performed behavior of the unmanned vehicle.

Non-intrusive unmanned entity inspection

An unmanned vehicle is identified. One or more specifications of the unmanned vehicle are retrieved in response to the identification. A first characteristic of the unmanned vehicle is observed. The observed first characteristic is compared to the retrieved specifications. A compliance standard of the unmanned vehicle is determined. The determination is based on the comparison.

Technical solutions are described for configuring a dynamic geo-fence includes receiving a plurality of data samples. The method also includes selecting, from the plurality of data samples, a selected data sample as a threshold. The method also includes configuring a geo-fence for a geographic area based on the selected data sample. The method also includes adjusting an operational characteristic of a drone while the drone is in the geographic area, where the operational characteristic is adjusted based on a configuration of the drone and the geo-fence.

Dynamic geo-fence for drone

Aspects relate to methods, systems, and devices for monitoring unmanned vehicles. Methods include receiving, by a processor, a captured image of an observed unmanned vehicle, the captured image including measured data, comparing the measured data with an unmanned vehicle database, determining a status of the observed unmanned vehicle, and generating an indicator regarding the status of the observed unmanned vehicle.

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Green Brook, NJ, United States of America

Daniel F Hogerty