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Trace Live Network Inc.

Draganfly Innovations Inc.

Dragonfly Innovations Inc.

Jamie Clarke

Paul F Beard

Craig McDermott

Cameron Chell

Paul Readwin

Erika Racicot

Bruce McDonald

Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. The UAV includes an onboard camera to capture/stream multiple images. The camera captures reference images of a subject to be stored in memory; the reference images may portray gestures performed by the subject and associated with specific command procedures. The camera may capture subsequent images portraying the subject; the control system may, based on cascade recognition, identify the subject and a stored gesture to a determined confidence level. Once the subject and gesture are positively identified, the control system and/or propulsion system of the UAV may execute the associated command procedures to change the position, velocity, or heading of the UAV.

Cascade recognition for personal tracking via unmanned aerial vehicle (UAV)

An action camera system for an unmanned aerial vehicle (UAV) selects a target based on a reference image captured by an onboard camera. Image processing determines a desired orientation of the target to the UAV, by which the UAV can track the target and provide streaming video images from the desired orientation. Image processing establishes a visual lock on the target and controls the UAV to maintain the desired orientation while capturing streaming images. Additional position data provided by sensors aboard a smartphone carried by the target enhances the tracking ability of the action camera system and enables predictive analysis of the target's future position. The action camera system may additionally provide preselected modes of operation that control UAV movement and image capture depending on the user's desired objectives.

Action camera system for unmanned aerial vehicle

Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. An unmanned aerial vehicle (UAV) includes an onboard camera to capture/stream multiple images. An onboard visual recognition module isolates image elements by analyzing the captured images, and determines whether the image elements correspond or do not correspond to the subject. Current image elements corresponding to a subject are stored in a positive database, and non-corresponding current image elements are stored in a negative database. An onboard subject tracking module defines the chosen subject, determines attributes of the subject based on comparisons of image elements, and follows the subject by directing the attitude control system to adjust the velocity and orientation of the UAV based on the determined attributes.

Systems and methods for simultaneously capturing live audio and video feeds and reducing motor/rotor noise associated with the video feed for a multirotor unmanned aerial vehicle (UAV). Noise reduction occurs in real time or near real time as one or more frequencies associated with a motor, rotor, or attitude of the UAV are recognized, subtracted and/or dithered from the audio feed, resulting in one or more correction signals. The one or more correction signals may be dynamically summed in order to generate a corrected audio feed for transmission.

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Calgary, Canada

Jamie Clarke