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Intelligent Surveillance and Monitoring Systems
AI Across Distributed and Multimodal Environments
Workshop @ AVSS 2026
Recent advances in artificial intelligence, embedded processing, and networked sensing are transforming the way surveillance and monitoring systems are designed and deployed. Modern applications operate across heterogeneous environments — urban, industrial, environmental, aerial, and maritime — requiring robust perception, real-time decision-making, and seamless coordination between distributed sensing nodes.
This workshop aims to bring together researchers and practitioners working on AI-driven surveillance and monitoring systems, with a focus on multimodal sensing, edge intelligence, scalable architectures, and reliable deployment in real-world conditions. Emphasis will be placed on systems that operate under practical constraints such as limited power, intermittent connectivity, latency requirements, and privacy regulations.
The workshop encourages discussion across the full pipeline — from sensing and perception to inference, orchestration, and actionable alert generation — highlighting both methodological advances and field-deployed systems.
The topics above highlight the main focus of the workshop; submissions on related topics are also welcome and will be evaluated by the reviewers.
We invite submissions on AI-driven surveillance and monitoring systems, spanning theory, methods, and real-world applications.
Full Papers (6 pages including references): Presenting mature and complete research with substantial contributions and validated results.
Submissions must adhere to the IEEE double-column format and are limited to six pages, including figures, tables, and references.
The paper submission templates are available on IEEE Manuscript Templates for Conference Proceedings.
www.ieee.org/conferences/publishing/templates
for Overleaf - Latex template the following link can also be used: www.overleaf.com
All accepted papers will be included in the conference workshop proceedings and published in the IEEE Xplore digital library.
CMT link: link to paper submission
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
August 31, 2026 · 14:00–18:00
Times are shown in the conference local time. The program may be subject to minor changes.
Marco Marcon
Politecnico di Milano
Marco Paracchini
Politecnico di Milano
Carlo Pezzoli
Politecnico di Milano
