New drones equipped with a deep learning application that improves the images they collect during search and rescue missions can better distinguish people from their surroundings. Researchers from Austria's Johannes Kepler University have developed drones equipped with a deep learning application that improves the images they collect during search and rescue missions to better distinguish people from their surroundings. The team noted, "automated person detection under occlusion conditions can be notably improved by combining multi-perspective images before classification." The researchers achieved 96% precision and 93% recall rates with image integration using airborne optical sectioning, a synthetic aperture imaging technique that captures unstructured thermal light fields using camera drones, compared to 25% achieved by traditional thermal imaging. The researchers say the drones are ready for use.

The ability to determine the difference between an actual person and a pet or other wildlife can be an issue for some connected security cameras. With an update to its Circle camera, Logitech improves the device's ability to do just that. The company says the camera employs "proprietary artificial intelligence" to identify when someone is approaching. Of course, this should cut down on any unwanted alerts when your cat saunters by. The update also tacks on a Motion Zones feature that can be configured to keep tabs on certain parts of your home and send you alerts when movement is detected.