Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation

• URL: http://arxiv.org/abs/2408.08320v2
• Date: Sun, 8 Sep 2024 13:36:31 GMT
• Title: Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation
• Authors: Jason Sinaga, Victoria Clerico, Md Abdullah-Al Kaiser, Shay Snyder, Arya Lohia, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal,
• Abstract summary: We focus on a fundamental visual feature within the mammalian retina, Object Motion Sensitivity (OMS) We present novel CMOS circuits that implement OMS functionality inside image sensors. We verify the functionality and re-configurability of the proposed CMOS circuit designs through Cadence simulations in 180nm technology.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Recent advances in retinal neuroscience have fueled various hardware and algorithmic efforts to develop retina-inspired solutions for computer vision tasks. In this work, we focus on a fundamental visual feature within the mammalian retina, Object Motion Sensitivity (OMS). Using DVS data from EV-IMO dataset, we analyze the performance of an algorithmic implementation of OMS circuitry for motion segmentation in presence of ego-motion. This holistic analysis considers the underlying constraints arising from the hardware circuit implementation. We present novel CMOS circuits that implement OMS functionality inside image sensors, while providing run-time re-configurability for key algorithmic parameters. In-sensor technologies for dynamical environment adaptation are crucial for ensuring high system performance. Finally, we verify the functionality and re-configurability of the proposed CMOS circuit designs through Cadence simulations in 180nm technology. In summary, the presented work lays foundation for hardware-algorithm re-engineering of known biological circuits to suit application needs.

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