System and method for a golf cart to automatically proceed to the location of a struck golf ball. The system and method allow a golfer to play golf without the need to keep diligent track of the ball. The golf cart determines the location of the struck ball and the proceeds to the location of the ball. This reduces the time needed to find a struck ball and reduces the instances of lost balls.

A drone fishing system mountable on a fishing vessel having an aft portion includes a landing pad mounted having a drone station mounted on the aft portion of the fishing vessel, an unmanned aerial vehicle (UAV), and tether line and tether reel for maintaining an electrical connection between the drone station and the UAV. The UAV including a computing module for determining optimal positioning of the UAV with respect to the fishing vessel during operation. The UAV tether line spools about the tether reel and has an abrasion resistant cable jacket for enabling a selective engagement of a clip on the tether line. A first altimeter mounted on the fishing vessel. A second altimeter mounted on the UAV. The first and second altimeters communicate with the computing module of the UAV. The electrical connection communicates power and data between the landing pad and the UAV.

A technique is directed to methods and systems for providing drone-based assistance to a user. Drones may be utilized to aid users in performing tasks, such as assisting a user during an activity. The assistance can include providing a cooling flow of air, spraying a cooling mist of liquid, playing music, providing guidance, providing instructions, communicating with a device(s) to seek medical aid, retrieving sporting equipment, collecting performance metrics, collecting health metrics, or any assistance action. A user can connect to the drone via a device or using a set of built-in algorithms that employ biometric recognition to identify the user. Once activated and linked to the user, the drone can take flight. The drone can fly above, in front, or behind the user at a predetermined or adjustable height and provide airflow or mist from the drone blades to cool the user.

An entertainment system includes a drone configured to be maneuvered across a plurality of zones, an interactive toy device configured to be actuated to cause a plurality of toy reactions, one or more processors, and one or more non-transitory, computer readable media having instructions stored thereon. The instructions, when executed by the one or more processors, cause the one or more processors to determine a correlation between the drone and the interactive toy device, where the correlation is based on a proximity between the drone and the interactive toy device and at least one of: a location of the drone within a zone of the plurality of zones, an additional location of the interactive toy device within the zone or an additional zone of the plurality of zones, a non-position based physical attribute of the drone, or an additional non-position based physical attribute of the interactive toy device. The instructions, when executed by the one or more processors, cause the one or more processors to activate, based on the correlation, a toy reaction of the plurality of toy reactions.

A fishing system includes an unmanned aerial vehicle and a fishing line fixing portion placed on a main body of the unmanned aerial vehicle, the fishing line fixing portion including a first fixing portion for fixing a fishing line and a second fixing portion detachably connected to the first fixing portion. The unmanned aerial vehicle includes an imaging device, a fish school tracking processing unit configured to identify a fish in imaging data captured by the imaging device and control the unmanned aerial vehicle to track the fish. A connection between the first fixing portion and the second fixing portion is released when the fish is hooked on an artificial bait attached to a first end of the fishing line.

A fishing system includes an unmanned aerial vehicle and a fishing line fixing portion placed on a main body of the unmanned aerial vehicle, the fishing line fixing portion including a first fixing portion for fixing a fishing line and a second fixing portion detachably connected to the first fixing portion. The unmanned aerial vehicle includes an imaging device, a fish school tracking processing unit configured to identify a fish in imaging data captured by the imaging device and control the unmanned aerial vehicle to track the fish. A connection between the first fixing portion and the second fixing portion is released when the fish is hooked on an artificial bait attached to a first end of the fishing line.

A system and method for distributing power to racing aircraft systems is provided. The system includes a race course, a in power transmitter directed towards a power delivery section of the race course, the power transmitter configured to remotely transmit power to the aircraft systems at the power delivery section, and a controller operatively coupled to the power transmitter to activate, direct and deactivate the power transmitter. The method includes detecting, at the controller, a trigger condition for activating the power transmitter; responsive to detecting the trigger condition, activating the power transmitter; and transmitting the power to the aircraft systems.

Embodiments of a payload attachment system secure a payload to a wing or fuselage of the drone 102 (or another type of aircraft) using one or more vacuum mounting modules, wherein each vacuum mounting module comprises at least one vacuum pump controllably coupled to a microcontroller, a vacuum cup fluidly coupled to the at least one vacuum pump, and a transceiver that receives an instruction corresponding to one of a vacuum cup actuation signal or a vacuum cup release signal.

Systems, methods, and software to acquire light measurements in a targeted space using an autonomous vehicle, such as an aerial drone, are provided. Examples of targeted spaces include, but are not limited to, stadiums, arenas, racetracks, fields, parking lots, etc. Uses of such systems, software, and/or methods include, but are not limited to, verifying that required light intensity, distribution, camera image quality, and/or other performance metrics are met when commissioning, changing, checking, and approving lighting systems, among other things.

An audio forecasting algorithm that is adjusted (or trained), by machine learning, prior to a sports contest that will be broadcast. The audio forecasting algorithm is then used to position a set of mobile microphones on an ongoing basis during the sports contest. In some embodiments, a band forecasting algorithm is used in the audio forecasting algorithm. In some embodiments, a swarm based correlation algorithm is used in the audio forecasting algorithm.