Reporters obtained the following quote from the background information supplied by the inventors:“Stable and reliable robotic systems are becoming increasingly common, which has contributed to therecent advancement and proliferation of un manned system technologies. These technologies can beground-based systems, acri al-based systems, and/or maritime-based systems. In many instances thesesystems are equipped with one or more cameras, one or more microphones, and/or other re cordingequipment. The image/sound stream from the unmanned system(s) may be sen t to an operator’s controldevice to make the operator aware of what is happenin g on the ground. In many cases it may be usefulfor the image stream to be annot ated with different objects detected within the video/audio stream.Currently, o bjects within images/sound frames are generally detected using machine learning models.These machine learning models are generally hosted on dedicated hardware with dedicated data sources.However, in operational scenarios it may be critic al to use third-party models (e.g., from entities that areable to train those m odels because those entities have the required training data). Moreover, operato rsin the field may want to choose which object types need to be detected for a particular operation becauseindicating other object types may interfere with th e operator being able to assess the operational situation.Thus, enabling this f unctionality on an unmanned vehicle or another device with limited computation resources is challenging at best.”
BusinessCyborgsEmerging TechnologiesMachine LearningTomahawk Robotics Inc.
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