A traffic information processing equipment, system and method. The traffic information processing equipment includes an image recognition and decision device and a warning device. The image recognition and decision device is configured to process a received traffic route image to identify a scene, and determine whether to perform a warning operation according to the scene to obtain a determination result. The warning device is configured to generate warning information according to the determination result for sending prompt information to vehicles in a traffic route.

Embodiments disclosed herein are related to a method that can include displaying first content on a media display, receiving first data generated from or determined by an Internet of Things (IoT) device, and displaying second content in response to receiving the first data from the IoT device.

Systems and methods relating to generations of models to facilitate safe, automated handling and maneuvering of vehicles, such as unmanned aerial vehicles (UAV), by robotic systems, such as a robotic arm. The described systems and methods can include a robotic system, such as a robotic arm, having a load cell to measure certain forces and torques to generate models representing the behavior of vehicles and surfaces on which the vehicles may be placed and/or from which the vehicles may be removed.

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.

An example system for flying to a target location is provided, comprising a parent aerial vehicle and at least one child vehicle releasably coupled to the parent vehicle. The parent vehicle is configured to transport the at least one child aerial vehicle to a region containing a target location, uncouple from the at least one child aerial vehicle, and transmit information to the at least one child aerial vehicle relevant to operation of the child aerial vehicle. The child aerial vehicle comprises at least one sensor for surveillance at the target location.

A drone deployable power line fault detection sensor. The sensor can include a clamp mechanism having a clamp ring with first and second ring portions movably connected to each other and a resilient member positioned to urge the first and second ring portions toward a closed configuration. A latch can be positioned to retain the first and second ring portions in an open configuration whereby the sensor can be positioned on a power transmission line with a drone. A trigger can be coupled to the latch and operative, under the weight of the sensor, to disengage the latch thereby releasing the first and second ring portions to close around the transmission line under the force of the resilient member. One or more sensors are carried by the clamp mechanism and positioned to detect a line fault on the power transmission line, which is reported to a power station control system to de-energize the power transmission line.

Methods and apparatus for performing repair operations using an unmanned aerial vehicle (UAV). A UAV carries a repair patch ensemble containing all repair materials (including a repair patch, a heating blanket and other ensemble materials) in a prepackaged form to the repair area. During flight of the UAV, the repair patch is vacuum adhered to the heating blanket. Vacuum pressure is also used to hold the repair patch ensemble in position on the composite surface of the structure. Then the hot bond process is enacted to bond the repair patch to the repair area. In accordance with one embodiment, the hot bond process involves heating the repair patch to adhesively bond the repair patch while applying vacuum pressure to consolidate the composite material. Then the repair patch is released from the ensemble and residual ensemble materials (heating blanket, bleeder material, and release films) are removed by the UAV.

A drone for replacing a removeable device can include a drone body with at least three lift-generating rotors spaced apart from the drone body and operating in concert that provide lift sufficient to propel the drone in at least six directions. The drone can include a first bay attached to the drone body, the first bay comprising a first mounting mechanism to dismount a first removeable device from a device receptacle and to securely stow the first removeable device. The drone can also include a second bay attached to the drone body comprising a second mounting mechanism to stow a second removeable device and to mount the second removeable device on the device receptacle.

An example system includes a plurality of processor modules. Each of the plurality of processor modules is communicatively couplable to an autonomous system of a plurality of autonomous systems. Each of the processor modules includes an autonomous software defined network (A-SDN) data-plane communications controller. The system further includes a portable network controller including an A-SDN control-plane communications controller.

The present invention provides an improved, autonomous unmanned aircraft vehicle (UAV) for harvesting or diluting fruit, and a control unit for coordinating flight and/or harvesting missions thereof, as well as a system and method for harvesting fruits.