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Communication Dans Un Congrès Année : 2019

Smart imagers modeling and optimization framework for embedded AI applications

Résumé

This work presents a framework for behavioral simulations of smart imagers with hardware and power constraints. The objective is to compare innovative imaging systems that would be composed of a specific image sensor and a dedicated image processing. For that purpose, a versatile imager model is presented and applied to a time-to-first-spike imager associated with two types of neural networks. Image classification is targeted to assess the system performance, namely the classification accuracy and data throughput. Simulation results depict/show the impact of different key-parameters helping in the choice of the final imaging system architecture.
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cea-04548812 , version 1 (16-04-2024)

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Luis Cubero, Arnaud Peizerat, Dominique Morche, Gilles Sicard. Smart imagers modeling and optimization framework for embedded AI applications. PRIME 2019 - 15th Conference on Ph.D Research in Microelectronics and Electronics, Jul 2019, Lausanne, Switzerland. pp.245-248, ⟨10.1109/PRIME.2019.8787750⟩. ⟨cea-04548812⟩
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