000108514 001__ 108514 000108514 005__ 20231215090955.0 000108514 0247_ $$2doi$$a10.1109/DCIS51330.2020.9268645 000108514 0248_ $$2sideral$$a122698 000108514 037__ $$aART-2020-122698 000108514 041__ $$aeng 000108514 100__ $$aTorres-Sanchez, E. 000108514 245__ $$aDeveloping an AI IoT application with open software on a RISC-V SoC 000108514 260__ $$c2020 000108514 5060_ $$aAccess copy available to the general public$$fUnrestricted 000108514 5203_ $$aRISC-V is an emergent architecture that is gaining strength in low-power IoT applications. The stabilization of the architectural extensions and the start of commercialization of RISC-V based SOCs, like the Kendryte K210, raises the question of whether this open standard will facilitate the development of applications in specific markets or not.In this paper we evaluate the development environments, the toolchain, the debugging processes related to the Sipeed MAIX Go development board, as well as the standalone SDK and the Micropython port for the Kendryte K210. The training pipeline for the built-in convolutional neural network accelerator, with support for Tiny YOLO v2, has also been studied. In order to evaluate all the above aspects in depth, two low-cost, low-power, IoT edge applications based on AI have been developed. The first one is capable of recognizing movement in a house and autonomously identify whether it was caused by a human or by a house pet, like for example a dog or a cat. In the context of the current COVID-19 pandemic, the second application is capable of labeling whether a pedestrian is wearing a face mask or not, doing real-time object recognition at a mean rate of 13 FPS. Throughout the process, we can conclude that, despite the potential of the hardware and its excellent performance/cost ratio, the documentation for developers is scarce, the development environments are in low maturity levels, and the debugging processes are sometimes nonexistent. 000108514 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-AEI-ERDF/TIN2016-76635-C2-1-R$$9info:eu-repo/grantAgreement/ES/MINECO-AEI-ERDF/PID2019-105660RB-C21$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón$$9info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20R 000108514 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000108514 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000108514 700__ $$0(orcid)0000-0003-4164-5078$$aAlastruey-Benede, J.$$uUniversidad de Zaragoza 000108514 700__ $$0(orcid)0000-0001-8093-8346$$aTorres-Moreno, E.$$uUniversidad de Zaragoza 000108514 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput. 000108514 773__ $$g35, 20237851 (2020), [6 pp]$$pProceedings (Conf. Des. Circuits Integr. Syst.)$$tProceedings (Conference on Design of Circuits and Integrated Systems)$$x2471-6170 000108514 8564_ $$s166830$$uhttps://zaguan.unizar.es/record/108514/files/texto_completo.pdf$$yPostprint 000108514 8564_ $$s3119451$$uhttps://zaguan.unizar.es/record/108514/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000108514 909CO $$ooai:zaguan.unizar.es:108514$$particulos$$pdriver 000108514 951__ $$a2023-12-15-08:59:17 000108514 980__ $$aARTICLE