Abstract: A remote drone control system includes a pilot endpoint system comprising a pilot endpoint and a controller connected to the pilot endpoint. The remote drone control system includes a control endpoint system including a control endpoint, a signal adaptor connected to the control endpoint, and a transmitter connected to the signal adaptor. A drone is arranged to communicate with the transmitter to receive and send drone operating data to the control endpoint system. The drone is also arranged to communicate drone video data to the control endpoint system. A remote bridge including a server is arranged to connect the pilot endpoint and the control endpoint such that data is communicated amongst the pilot endpoint, control endpoint, and drone in real-time.

Abstract: A drone includes a surrounding cage which can be disassembled from a propeller-carrying internal base. In another aspect, a drone includes at least one fastening clip which attaches arcuate external ribs to a periphery of a central and internal frame, whereafter the fastening clip can be removed for disassembly of the ribs from the frame. Yet another aspect provides a flying drone employs a fastening clip including a snap fit and a generally U-shaped body. A further embodiment has a flying drone with at least one light externally mounted adjacent a periphery of a central propeller-carrying base, located between a pair of external ribs.

Abstract: A drone includes a motor, a noise receiver, a camera, a distance measure, and a directed sound beam generator. The noise receiver is configured to detect a noise caused by the motor. The camera is configured to capture an image of an area when the drone is in the air. The distance measure is configured to measure a distance between the drone and a particular point in the captured image. The directed sound beam generator is configured to emit a sound beam that is directed to a particular direction. The drone further includes a processor configured to analyze the detected noise to determine a frequency spectrum of the detected noise. The processor is further configured to analyze the captured image to identify a target, and cause the directed sound beam generator to emit a sound beam to actively cancel at least a portion of the noise directed to the target.