Presentation
FEI: Fusion Processing of Sensing Energy and Information for Self-sustainable Infrared Smart Vision System
DescriptionIn the natural world, energy and information are deeply entwined, mutually constraining and complementing each other. To exploit this natural merit, this paper proposes an FEI strategy: Fusion processing of sensing Energy and Information for infrared smart vision system. The proposed Information-Power-Coupler (IPCp) takes the ability of simultaneous energy harvesting and low power in-pixel computing, which utilizes in-situ coupled energy to process the containing information on the same focal plane. Furthermore, a self-adaptive Intelligent-Power-Controller (IPCtrl) is capable of scheduling the harvested energy to complete low-power neural network inference is introduced. The implementation of (IPC2 ) system utilizes a software-hardware co-design strategy to exploit the layer-wise characteristic of the computation process and circuit topology, achieving energy-efficient self-sustainable fusion processing of sensing energy and information. Simulation results show that the intelligent power controller could supply 594.68nW with the power conversion efficiency of 93.38%, when the harvested energy from the information power coupler is 636.84nW. The performance validates the self-sustainability of the system with the self-powered image recognition of a complete network running at 4fps with an accuracy of 99.4%.
Event Type
Work-in-Progress Poster
TimeTuesday, June 256:00pm - 7:00pm PDT
LocationLevel 2 Lobby
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security