Patent classifications
B64U2101/31
SECURITY ENTRY AND DELIVERY SYSTEM AND METHOD OF USING SAME
An artificial intelligence entry management device for an entry and delivery system includes a camera, a microphone, a motion detector, a speaker, and a housing. The housing has an oval shape with a substantially open middle. The substantially open middle has a housing protrusion portion configured to house the camera, the microphone, the motion detector, and the speaker. The entry and delivery system may also include one or more robots that interface with the entry management device to monitor an area around an access point and to alert the user of activity. A robot may be an aerial robot that has a camera, a robot light, a speaker, a microphone and an actuator to enable picking and moving a package. Aerial robots may be configured around a perimeter of a building to monitor the building and may turn on a robot light when motion is detected.
Security entry and delivery system and method of using same
An artificial intelligence entry management device for an entry and delivery system includes a camera, a microphone, a motion detector, a speaker, and a housing. The housing has an oval shape with a substantially open middle. The substantially open middle has a housing protrusion portion configured to house the camera, the microphone, the motion detector, and the speaker. The entry and delivery system may also include one or more robots that interface with the entry management device to monitor an area around an access point and to alert the user of activity. A robot may be an aerial robot that has a camera, a robot light, a speaker, a microphone and an actuator to enable picking and moving a package. Aerial robots may be configured around a perimeter of a building to monitor the building and may turn on a robot light when motion is detected.
Smoke and fire recognition, fire forecasting, and monitoring
A method and system to receive, one or more first images, one or more second images, one or more ambient weather related information, and one or more land related information, wherein the one or more land related information comprise vegetation features, terra firma topography, elevation, slope and aspect, of one or more regions of interest, of a geographical region; to map automatically, one or more risk areas of the one or more regions of interest; to recognize automatically, one or more smoke or fire related signals; and to predict computationally, existence of a fire causing smoke, a fire, a fire-growth and spread.
Privacy Shield for Unmanned Aerial Systems
A system having: a processor and addressable memory, where the processor is configured to: receive a geographic data defining a selected geographical area; receive an operating mode associated with the selected geographical area, where the received operating mode restricts at least one of: a viewing of a UAV data and a recording of the UAV data by at least one user device; and broadcast the UAV data to the at least one user device based on the selected geographical area and the received operating mode.
AUTONOMOUS CROP MONITORING SYSTEM AND METHOD
A system for autonomous crop monitoring, the system comprising a mobile platform having one or a plurality of imaging devices configured to autonomously travel a path to scan a plurality of inspection regions in a field of crop and obtain images of the inspection regions; and a processor configured to analyze the acquired images to detect an agricultural condition that requires attention (ACRA) and determine the location of that ACRA.
Drone tours 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 a specific pattern within a facility, receive sensor data from a sensor carried by the vehicle, apply processing to the sensor data to detect an unacceptable level of detected feature differences in features contained in the sensor data, determine a new flight instruction for the vehicle based on the processing; and send the new flight instruction for the vehicle to a system for controlling flight of the vehicle.
Privacy shield for unmanned aerial systems
A system having: a processor and addressable memory, where the processor is configured to: receive a geographic data defining a selected geographical area; receive an operating mode associated with the selected geographical area, where the received operating mode restricts at least one of: a viewing of a UAV data and a recording of the UAV data by at least one user device; and broadcast the UAV data to the at least one user device based on the selected geographical area and the received operating mode.
Unmanned aerial vehicle management system
An Unmanned Aerial System configured to receive a request from a user and fulfill that request using an Unmanned Aerial Vehicle. The Unmanned Aerial System selects a distribution center that is within range of the user, and deploys a suitable Unmanned Aerial Vehicle to fulfill the request from that distribution center. The Unmanned Aerial System is configured to provide real-time information about the flight route to the Unmanned Aerial Vehicle during its flight, and the Unmanned Aerial Vehicle is configured to dynamically update its mission based on information received from the Unmanned Aerial System.
SYSTEM AND METHOD FOR SUPPORTING SMOOTH TARGET FOLLOWING
A method for controlling target tracking includes determining whether a tracking mode of a movable object is a manual tracking mode or an automatic tracking mode; when it is determined that the tracking mode is the manual tracking mode, determining a target for the movable object from one or more images based on a user input; when it is determined that the tracking mode is the automatic tracking mode, having the movable object determine the target automatically; and directing the movable object to track a target object using the target.
System and method of securely sending and receiving packages via drones
An autonomous vehicle comprising a transport body configured to travel to an identified location, a package retention device for securing one or more packages to the transport body; one or more processors integral to the transport body, wherein the processors are configured by code executing therein to: access shipper and recipient profile data; wherein the shipper and recipient profile data includes location data for shipper and recipient; navigate the autonomous vehicle to a shipping destination and a delivery destination; provide access to the package retention device upon authentication of a shipper presenting a package at a shipping destination, and provide access to the package retention device upon authentication of a recipient retrieving a package at the delivery destination.