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Results of 'iCaveats', a Project on the Integration of Architectures and Components for Embedded Vision

AuthorsCarmona-Galán, R. CSIC ORCID ; Fernández-Berni, J. CSIC ORCID CVN; Rodríguez-Vázquez, Ángel CSIC ORCID; López-Martínez, P.; Brea-Sánchez, V.M.; Cabello-Ferrer, D.; Domenech-Asensi, G.; Ruiz-Merino, R.; Zapata-Pérez, J.
KeywordsVision chips
Smart image sensors
Embedded vision systems
Parallel concurrent processing
Issue Date2018
PublisherACM Digital Library
CitationICDSC '18 Proceedings of the 12th International Conference on Distributed Smart Cameras Article No. 24 (2018)
AbstractiCaveats is a Project on the integration of components and architectures for embedded vision in transport and security applications. A compact and efficient implementation of autonomous vision systems is difficult to be accomplished by using the conventional image processing chain. In this project we have targeted alternative approaches, that exploit the inherent parallelism in the visual stimulus, and hierarchical multilevel optimization. A set of demos showcase the advances at sensor level, in adapted architectures for signal processing and in power management and energy harvesting.
DescriptionProceeding: ICDSC '18 Proceedings of the 12th International Conference on Distributed Smart Cameras Article No. 24 Eindhoven, Netherlands — September 03 - 04, 2018
Publisher version (URL)https://doi.org/10.1145/3243394.3243707
Appears in Collections:(IMSE-CNM) Comunicaciones congresos
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