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https://hdl.handle.net/2183/49324 Accelerating Inference in Computer Vision Tasks with VCK190 and Vitis AI
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Gómez-González, P. P., Jove, E., & Calvo Rolle, J. L. (2026). Accelerating Inference in Computer Vision Tasks with VCK190 and Vitis AI. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 91-98). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c22
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[Abstract] The increasing use of Deep Neural Networks (DNNs) for real-time tasks has created a need for specialized hardware accelerators.This paper presents a study of the Xilinx VCK190 development board, a next generation Adaptive Compute Acceleration Platform (ACAP) for artificial intelligence tasks, representing a first approach to this technology at the Universidade da Coru˜ña. The work details a complete workflow using Vitis AI, covering the quantization, compilation, and deployment of a neural network model. The results establish a solid technical baseline, intended to facilitate the integration of this advanced hardware into future academic and research projects.
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Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
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Attribution-NonCommercial-NoDerivatives 4.0 International








