'Smart' Robot Could Help Rescue Disaster Victims ScientificComputing.com | |
go to original October 30, 2014 |
The robot has a friction crawler-based drive system, motion sensors, cameras, a laser and an infrared system, allowing it to rebuild the environment and create 2-D maps. (CUCEI)
Through a computational algorithm, a team of researchers have developed a neural network that allows a small robot to detect different patterns, such as images, fingerprints, handwriting, faces, bodies, voice frequencies and DNA sequences. Nancy Guadalupe Arana Daniel, researcher at the University Center of Exact and Engineering Sciences (CUCEI) at the University of Guadalajara (UDG) in Mexico, focused on the recognition of human silhouettes in disaster situations.
Arana Daniel devised a system in which a robot, equipped with a flashlight and a stereoscopic camera, obtains images of the environment and, after a series of mathematical operations, distinguishes between people and debris. During the imaging process, which has a similar appearance to that of animated films, HD cameras are used to scan the environment. Then, the image is cleaned and the patterns of interest — in this case human silhouettes from the rubble — are segmented.
A friction crawler-based drive system (such as the one in war tanks), ideal for all types of terrain, is necessary to break into irregular ground. The robot also has motion sensors, cameras, a laser and an infrared system, allowing it to rebuild the environment and, thereby, find paths or create 2-D maps.
Read the rest at ScientificComputing.com
We invite you to add your charity or supporting organizations' news stories and coming events to PVAngels so we can share them with the world. Do it now!
From activities like hiking, swimming, bike riding and yoga, to restaurants offering healthy menus, Vallarta-Nayarit is the ideal place to continue - or start - your healthy lifestyle routine.