C2018-11 – Reconfigurable 3D Pixel-Parallel Neuromorphic Architecture for Smart Sensors

Technology # 18-11 An neurotrophic architecture for smart sensors Cameras are used for surveillance and monitoring applications and can capture a substantial amount of image data. The processing of this data is either performed post-priori or at powerful backend servers. These methods may be sufficient for certain groups of applications, but they do not suffice for applications in real-time imaging. Applications such as autonomous navigation in complex environments or hyper spectral image analysis using cameras on drones require near real-time video and image analysis, sometimes under SWAP (Size Weight and Power) constraints. However, there is an invention that overcomes these challenges. The advantages to this invention are vast: power consumption will be reduced by up to 90%, the design provides speed up in system performance and makes the design applicable to high-speed imaging applications, the XPUs are reconfigurable to adopt different computer vision applications and there is a reduction in redundancy. This invention/technology is available for licensing. For interested parties seeking further information, feel free to contact: Mark Allen Lanoue Technology Manager / Tech Ventures University of Arkansas (479) 575-7243 malanoue@uark.edu Technology Ventures ventures@uark.edu 479-575-7243

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