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Border Surveillance Using Computer Vision-Enabled Robotic Swarms for Semantically Enriched Situational Awareness

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Technology Development for Security Practitioners

Part of the book series: Security Informatics and Law Enforcement ((SILE))

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Abstract

Cross-border crime utilizes recent advanced systems to perform their illegal activities. Innovative sensory systems and specialized equipment are examples that were used for trafficking of human and of various illicit materials. The increasing challenges that border personnel must resolve require the usage of recent technological advances as well. Thus, the utilization of pioneer technologies seems imperative to precede technologically organized crime. Towards this objective, the introduction of unmanned vehicles (UxV) and the advances of relevant sub-systems have created a new solution to fight cross-border crime. Utilizing a combination of UxVs enriched with enhanced detection capabilities comprises an effective solution. The chapter will introduce and present the capability of an autonomous navigation system by exploiting swarm intelligence principles towards simplifying the overall operation. Computer vision advances and semantic enrichment of the acquired information are incorporated to deliver cutting-edge technologies. The described architecture and services can provide a complete solution for optimal border surveillance and increased situation awareness.

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Acknowledgements

This work was supported by the ROBORDER project funded by the European Commission under Grant Agreement No 740593.

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Authors and Affiliations

  1. Centre for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece

    Georgios Orfanidis, Savvas Apostolidis, Georgios Prountzos, Marina Riga, Athanasios Kapoutsis, Konstantinos Ioannidis, Elias Kosmatopoulos, Stefanos Vrochidis & Ioannis Kompatsiaris

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  1. Georgios Orfanidis
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  2. Savvas Apostolidis
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  3. Georgios Prountzos
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  4. Marina Riga
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  5. Athanasios Kapoutsis
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  6. Konstantinos Ioannidis
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  7. Elias Kosmatopoulos
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  8. Stefanos Vrochidis
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  9. Ioannis Kompatsiaris
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Corresponding author

Correspondence to Georgios Orfanidis .

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Editors and Affiliations

  1. CENTRIC (Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime Research), Sheffield Hallam University, Sheffield, UK

    Babak Akhgar

  2. Center for Security Studies-KEMEA, Athens, Greece

    Dimitrios Kavallieros

  3. Crisis Management and Security Unit, Institute of Communication and Computer, Athens, Greece

    Evangelos Sdongos

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Orfanidis, G. et al. (2021). Border Surveillance Using Computer Vision-Enabled Robotic Swarms for Semantically Enriched Situational Awareness. In: Akhgar, B., Kavallieros, D., Sdongos, E. (eds) Technology Development for Security Practitioners. Security Informatics and Law Enforcement. Springer, Cham. https://doi.org/10.1007/978-3-030-69460-9_15

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  • DOI: https://doi.org/10.1007/978-3-030-69460-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69459-3

  • Online ISBN: 978-3-030-69460-9

  • eBook Packages: EngineeringEngineering (R0)

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