B64U101/31

Fixed drone visualization in security systems

An unmanned aerial vehicle is described and includes a computer carried by the unmanned aerial vehicle to control flight of the unmanned aerial vehicle and at least one sensor. The unmanned aerial vehicle is caused to fly to a specific location within a facility, where the unmanned aerial vehicle enters a hover mode, where the unmanned aerial vehicle remains in a substantially fixed location hovering over the specific location within the facility and sends raw or processing results of sensor data from the sensor to a remote server system.

Systems and methods for autonomous navigation and computation of unmanned vehicles

An unmanned vehicle (UV) navigation system is provided. The UV navigation system comprises a processor, a communication interface for communicating with a remote station, and a non-transitory memory device storing machine-readable instructions that, when executed by the processor, causes the processor to navigate the UV. The processor is configured to receive data from sensors, camera or data line for UV processor analysis, determine that a link-free trigger event has occurred, and autonomously navigate the UV in response to the trigger event.

Fixed drone visualization in security systems
12071238 · 2024-08-27 · ·

An unmanned aerial vehicle is described and includes a computer carried by the unmanned aerial vehicle to control flight of the unmanned aerial vehicle and at least one sensor. The unmanned aerial vehicle is caused to fly to a specific location within a facility, where the unmanned aerial vehicle enters a hover mode, where the unmanned aerial vehicle remains in a substantially fixed location hovering over the specific location within the facility and sends raw or processing results of sensor data from the sensor to a remote server system.

Unmanned aircraft, control method, and recording medium

An unmanned aircraft includes: a sensor (person detection sensor) and so forth) that performs sensing of an external environment of the unmanned aircraft; a detector (suspicious person identifier) that detects a moving object based on a result of the sensing performed by the sensor; an obtainer (movement prohibition position determiner) that obtains area information indicating an area, entry to which by the moving object is undesirable; and a flight controller that causes the unmanned aircraft to move to a position between the moving object and the area indicated by the area information, based on a positional relation between the moving object and the area, and fly at the position that is a destination position.

Location-based frame skipping

The techniques described herein implement an automated frame skipping approach used to generate a reduced set of frames for processing. In one example, the automated frame skipping approach is used to more efficiently generate a stitched map of a geographical area being surveilled by an aerial vehicle, such as an unmanned aerial vehicle (UAV). A stitched map is an image mosaic that is created using the reduced set of frames such that the geographical area being surveilled by the aerial vehicle is accurately depicted.

Surveillance system employing plurality of unmanned aerial vehicles

Provided is a surveillance system employing a plurality of unmanned aerial vehicles (UAVs), the surveillance system showing improved surveillance performance while optimizing common energy consumption for computing of all the UAVs and also providing a stable visual monitoring service using autonomous mobility of the plurality of UAVs regardless of movement of an object to be monitored and action uncertainty of an adjacent UAV.

Dynamically adjusting UAV flight operations based on thermal sensor data
12264918 · 2025-04-01 · ·

In some implementations, a UAV flight system can dynamically adjust UAV flight operations based on thermal sensor data. For example, the flight system can determine an initial flight plan for inspecting a flare stack and configure a UAV to perform an aerial inspection of the flare stack. Once airborne, the UAV can collect thermal sensor data and the flight system can automatically adjust the flight plan to avoid thermal damage to the UAV based on the thermal sensor data.

Flight device with end parts displaceable along front end parts of wing parts
12378015 · 2025-08-05 · ·

A flight vehicle with a more basic structure and safety measures according to the invention comprises a main body part; a propulsion part provided with one or more propulsion means; a connection part connecting the main body part and the propulsion part in a displaceable manner within a predetermined range; and a wing part provided on at least one of the main body part or the propulsion part. With such a configuration, a flight vehicle with a more basic structure and safety measures can be provided.

Response management in an indoor facility

Techniques for response management in an indoor facility are described. A server device processes a signal from an unmanned vehicle to deduce occurrence of an actionable event. A preliminary location of the occurrence of the actionable event is determined based on an instantaneous position of the unmanned vehicle at the time of transmitting the signal. The inputs obtained from a set of static sensors located in proximity to the preliminary location is processed to verify the occurrence of the actionable event. A verified location of the occurrence of the actionable event is determined based on the preliminary location of the occurrence of the actionable event and an actual location of the set of static sensors within the indoor facility. The server device triggers an alert to indicate the occurrence of the actionable event, wherein the alert comprises the verified location of the occurrence of the event.

Method and device for automatically guiding an autonomous aircraft
12393202 · 2025-08-19 · ·

A method for guiding an autonomous aircraft, the aircraft includes an automatic pilot, a plurality of sensors and an imaging unit, the aircraft being configured to fly over a geographic zone comprising overflight prohibited zones, the guidance method can advantageously comprise a phase of real flight of the autonomous aircraft by using a given guidance law, comprising the following steps: determining a current state of the autonomous aircraft; determining an optimum action to be executed by using a neural network receiving the current state; determining a plurality of control instructions compatible with the guidance law based on the optimum action to be executed; transmitting to the automatic pilot the plurality of control instructions, which provides a new state of the autonomous aircraft.