Device for the blind uses computer vision and machine learning
A new wearable device called Horus is using a combination of computer vision, machine learning and audio cues to improve the lives of visually impaired people. (Credit: Eyra) Developed by a Swiss startup called Eyra, Horus consists of a headband with stereo cameras on one end that can recognise text, faces and objects. Information from the cameras is fed via a 1m cable into a smartphone-sized box containing a battery and a NVIDIA Tegra K1 processor. This provides GPU-accelerated computer vision, deep learning and sensors that process, analyse and describe the images from the cameras. Feedback and instruction are delivered via bone conduction audio technology that allows the wearer to hear descriptions even in noisy environments. Similar technology has been developed by BAE Systems for the military and adapted for the Ben…
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Device for the blind uses computer vision and machine learning
