Hackaday Prize Entry: SNAP Is Almost Geordi La Forge’s Visor
Echolocation projects typically rely on inexpensive distance sensors and the human brain to do most of the processing. The team creating SNAP: Augmented Echolocation are using much stronger computational power to translate robotic vision into a 3D soundscape.
The SNAP team starts with an Intel RealSense R200. The first part of the processing happens here because it outputs a depth map which takes the heavy lifting out of robotic vision. From here, an AAEON Up board, packaged with the RealSense, takes the depth map and associates sound with the objects in the field of view.
Binaural sound generation is a …read more
Continue reading Hackaday Prize Entry: SNAP Is Almost Geordi La Forge’s Visor