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On-the-Edge Inference Enabled Vision System for Smart Cities

Authors:
Carmelo Scribano
Ignacio Sanudo Olmedo
Micaela Verucchi
Danda Pani Paudel
Marko Bertogna
Luc Van Gool

Keywords: smart-city; edge inference; safety; privacy-preserving AI.

Abstract:
This work introduces a next-generation smart city platform using a novel embedded vision system. i.e., HAura. The HAura system integrates a dual camera and other sensors with a powerful embedded computing unit. The powerful perception stack, based on robust deep learning and computer vision techniques, provides a perfect baseline for implementing a variety of security, traffic management and urban planning policies. Choosing to process images directly on the device and transmit only metadata ensures compliance with privacy and security, as well as bandwidth efficiency. The next evolution of the vision stack will finally improve capabilities by introducing a new multi-task perception model.

Pages: 24 to 28

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-68558-251-7

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025