The present invention relates to a mobile security robot equipped with a micro flight device, which uses a camera mounted on the mobile security robot to patrol a predetermined area by the mobile security robot capable of autonomous driving and to patrol an area where the mobile security robot cannot move by the mounted micro flight device. Accordingly, there is an advantage in that it can efficiently patrol a much wider area compared to the patrol using only the mobile security robot.

Landing pads for a drone. One of the landing pads can include a landing area with a first surface configured to receive a second surface of a landing gear of a drone; a docking area i) with a first end adjacent to the landing area and a second opposite end and ii) a docking surface configured to contact the second surface of the landing gear of the drone; a fixed member i) with a third surface adjacent to the second end of the docking area and ii) configured to contact an end of the landing gear of the drone; a moveable member configured to i) move the landing gear across the first surface of the landing area onto the docking surface and ii) secure the landing gear of the drone in place between the docking surface of the docking area and the third surface of the fixed member.

A system for identifying an aspect of interest on a vehicle that includes a local AI system that can analyze sensor data from an on-site sensor to make an attempt to identify the aspect of interest according to first criterion. The aspect of interest can be information printed on the vehicle and/or on a seal of the vehicle. If the local AI system is unable to identify and validate the information on the first effort, it can consult with a central/global AI system that can leverage its own database and other local systems at other locations for subsequent attempts at identifying and validating the aspects of interest.

The law enforcement standoff inspection drone capability (L-SID) integrates Various technology to enable a capability implemented at the squad car level to allow the first-to-scene the ability to remotely pre-screen the scene for threat, before an on-foot approach. This is accomplished with an officer launched and controlled and specially configure small unmanned aircraft system (UAS). The LAS is integrated with a specially configured one-hand drone controller, a wearable see through heads-up-display glasses, microphone that's linked to the UAS's onboard loudspeaker, and a special processing that enables looking through a vehicle of building tinted windows during enforcement event. The system operates on a private ad-hoc network, implements IEEE 802.1 1 g/n WPA 3 standards, and provides continuous live steamed scene data throughout the enforcement event. All data and video collected is transmitted in real-time to headquarters.

Light emitting device positional tracking systems and methods are provided. In one example, a method includes receiving images captured of a target location comprising a plurality of light emitting devices, where each of the light emitting devices has an associated blinking pattern. The method may further include detecting the blinking pattern for each of the light emitting devices in the images. The method may further include determining a classification for each of the light emitting devices based on its detected blinking pattern. The method may further include aligning a mobile platform with the target location based on the classifications of the light emitting devices. Related devices and systems are also provided.

A long-distance drone having a main body, a left hind wing, a right hind wing, a left forewing, and a right forewing. There is a left linear support connecting the left forewing to the left hind wing, and a right linear support connecting the right forewing to the right hind wing. A plurality of propellers are disposed on the left and the right linear supports.

Described herein are systems, methods, and devices for detecting harmful algae blooms. An example system includes autonomous watercraft; and a computing device operably connected to the autonomous watercraft over a network, the computing device including a processor and a memory having computer-executable instructions stored thereon that cause the processor to: surveil a body of water for an algae growth; receive a local condition at the body of water; predict a spread of the algae growth in the body of water based on the local condition; determine a deployment strategy for the autonomous watercraft based on the spread of the algae growth; and transmit one or more control signals to the plurality of autonomous watercraft based on the deployment strategy, where the autonomous watercraft are configured to collect and analyze a plurality of water samples to determine whether the algae growth is a harmful algae bloom.

Systems, apparatus, and methods for remote monitoring and piloting of a ship. Examples include a method of delivering remote monitoring equipment to the ship and establishing a data and communication exchange for shore-based pilotage of the ship from a remote location. The equipment usable for remote monitoring and communication between the ship and pilot (at the remote location) is stored in a package and delivered to the ship by unmanned aircraft. The package is distributed and installed by ship's crew to specified locations. The remote pilot while located ashore has access to all the information that is needed to assist in safe navigation of the ship by exchanging data and/or streaming real time video from the ship to shore. Additionally, the system may extract navigational data from the ship and transmit it to shore in real-time.

A High Altitude Pseudo Satellite (HAPS) aircraft is disclosed, the aircraft including at least one aeroelastic span loaded fixed wing, an aspect ratio greater than 15 and wing loading less than 6 kg/m.sup.2, where the at least one wing has a plurality of spoilers distributed across the span of the wing and each spoiler being chordwise located adjacent the centre of pressure of the wing. The HAPS aircraft further includes a control system for controlling the spoilers, sensors which allow at least one of the quantity or quantities selected from the group comprising the amount of lift at points or regions along the wing span the pitch and roll at points or regions along the wing span, the bending and torsional strain at points or regions along the wing span, or the net speed and roll and pitch angle of the wing to be determined by the control system, and the spoiler being activatable to reduce the lift experienced by the wing in the location of the spoiler in response to the quantities determined by control system.

Systems and methods for operating done flights over public roadways are disclosed herein. An example method includes transmitting, by a first drone, a drone safety message, the drone safety message being received by a vehicle or a roadside infrastructure device located along a first planned flight path, determining an emergency condition for the first done, transmitting a warning message over a vehicle-to-everything communication that indicates that the first drone is experiencing the emergency condition. A connected vehicle or mobile device receives the warning message over the vehicle-to-everything communication. Determining drone operating evidence as the first drone traverses along the first planned flight path, and storing the drone operating evidence in a distributed ledger.