Hardware Development of Brain Computer and its Application to Visual Information Processing
update:2020/06/16
- Features and Uniqueness
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- Toward realizing a high-performance neuromorphic vision processing system, our research involves a neural network model of spatial perception based on motion-stereo vision and its implementation on a very large scale integrated circuit (VLSI). Important parameters for spatial perception such as time-to-contact, orientation, and the shortest distance to plane surfaces of a target object are recognized by using the model without knowing moving direction and velocity of the object. We have developed a VLSI capable of performing visual perception based on the model with low power consumption, reduced less than 1/100 compared with a commercial CPU.
- Practical Application
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Targeted applications include a drone flying autonomously equipped with collision avoidance system by visual perception. Targeted industry includes infrastructure inspection, agriculture, logistics, and so on.
- Keywords
Researchers
Research Institute of Electrical Communication
Shigeo Sato, Professor
Ph.D (Information Science)