Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors

Lee, Taewoo; Choi, Yumin; Kim, Hyunbum

doi:10.3390/s25113345

This is an early access version, the complete PDF, HTML, and XML versions will be available soon.

Open AccessArticle

Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors

by

Taewoo Lee

,

Yumin Choi

and

Hyunbum Kim

^*

Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Republic of Korea

^*

Author to whom correspondence should be addressed.

Sensors 2025, 25(11), 3345; https://doi.org/10.3390/s25113345

Submission received: 21 April 2025 / Revised: 22 May 2025 / Accepted: 23 May 2025 / Published: 26 May 2025

(This article belongs to the Special Issue Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics)

Download Versions Notes

Abstract

It is critical to solidify surveillance in 3D environments with heterogeneous sensors. This study introduces an innovative deep learning-assisted surveillance reinforcement system with smart sensors for resource-constrained cyber-physical devices and mobile elements. The proposed system incorporates deep learning technologies to address the challenges of dynamic public environments. By enhancing the adaptability and effectiveness of surveillance in environments with high human mobility, this paper aims to optimize surveillance node placement and ensure real-time system responsiveness. The integration of deep learning not only improves accuracy and efficiency but also introduces unprecedented flexibility in surveillance operations.

Keywords: deep learning; surveillance; smart sensors; mobile

Share and Cite

MDPI and ACS Style

Lee, T.; Choi, Y.; Kim, H. Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors. Sensors 2025, 25, 3345. https://doi.org/10.3390/s25113345

AMA Style

Lee T, Choi Y, Kim H. Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors. Sensors. 2025; 25(11):3345. https://doi.org/10.3390/s25113345

Chicago/Turabian Style

Lee, Taewoo, Yumin Choi, and Hyunbum Kim. 2025. "Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors" Sensors 25, no. 11: 3345. https://doi.org/10.3390/s25113345

APA Style

Lee, T., Choi, Y., & Kim, H. (2025). Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors. Sensors, 25(11), 3345. https://doi.org/10.3390/s25113345

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

Reinforcing Deep Learning-Enabled Surveillance with Smart Sensors

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI