Enhancing Security with Drone-Based Multi-Sensor Detection Systems for Complex Environments
DOI:
https://doi.org/10.58445/rars.3148Keywords:
Security, Drones, sensors, image recognitionAbstract
This paper investigates the effectiveness of drone-based security systems that employ a multi-sensor system where sophisticated sensors like optical, thermal, and acoustic sensors are employed to sweep and monitor secured spaces like prisons, government buildings, and crowded areas. These sensors were specifically chosen due to the commonality of these for the desired detection. Security systems with fixed cameras are not effective as they are limited by blind spots and structural barriers. Drone technology offers a versatile and mobile option that can dynamically scan large or complex areas, identifying suspicious individuals and the dangerous items they carry. This paper discusses the merits and drawbacks of security drones by reviewing recent developments and prior studies. Such merits and drawbacks include privacy issues, battery life, and legal complications. It focuses on establishing the optimal sensor configurations and evaluating the feasibility of employing drones in modern surveillance systems.
References
Al-Dosari, Khalifa, et al. “Mega Sporting Event Scenario Analysis and Drone Camera Surveillance Impacts on Command-and-Control Centre Situational Awareness for Dynamic Decision-Making.” MDPI, Multidisciplinary Digital Publishing Institute, 3 Aug. 2023, www.mdpi.com/2313-576X/9/3/54.
Singh, Amarjot, et al. “Eye in the Sky: Real-Time Drone Surveillance System (DSS) for Violent Individuals Identification Using SCATTERNET Hybrid Deep Learning Network.” arXiv.Org, 3 June 2018, arxiv.org/abs/1806.00746.
Svanström, Fredrik, et al. “Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities.” MDPI, Multidisciplinary Digital Publishing Institute, 26 Oct. 2022, www.mdpi.com/2504-446X/6/11/317.
Tatum, Jim. “Drone Detection System Uses AI to Fight Prison Contraband Smuggling.” Vision Systems Design, Vision Systems Design, 15 Sept. 2023, www.vision-systems.com/cameras-accessories/article/14299048/drone-detection-system-uses-ai-to-fight-prison-contraband-smuggling.
Singh, Harbinder, et al. “Deepgun: Deep Feature-Driven One-Class Classifier for Firearm Detection Using Visual Gun Features and Human Body Pose Estimation.” MDPI, Multidisciplinary Digital Publishing Institute, 22 May 2025, www.mdpi.com/2076-3417/15/11/5830.
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