Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques

Ali Aabar Hasan Al-Karaawi; Bakhtiar Feizizadeh

doi:10.31127/tuje.1856654

Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques

Abstract

This study focuses on analyzing the real-time performance of detection procedures in complex conditions using integrated deep learning models and big data source fusion. The purpose of this study was to investigate the effects of environmental conditions, such as low-light conditions, foggy environments, occlusion, and various scene complexities, on the detection accuracy, speed, and reliability, and between YOLOv7, SSD, and Faster R-CNN architectures. This study adopted a hybrid approach using satellite imagery, environmental sensor data, geotagged social media data, convolutional neural networks, and statistical models to assess the performance of the models. The YOLOv7 model recorded higher accuracy and shorter detection time than the other models, with a mean accuracy of (92%) and detection time of (0.20 s) respectively. Env 1 had a significant effect on system robustness. The integration of big data sources improved system adaptability, but negative effects, such as an increase in the computation load and a decrease in system stability in severe environments, were observed. Based on the conclusion of this research, the necessary configurations of the architecture include the use of sensor fusion, context awareness, and weightless detection, which will help enhance the real-world detection of objects in real time.

Keywords

References

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Details

Primary Language

English

Subjects

Photogrammetry and Remote Sensing

Journal Section

Research Article

Authors

Ali Aabar Hasan Al-Karaawi
0009-0006-7465-5028
Iran

Bakhtiar Feizizadeh ^*
0000-0002-3367-2923
Germany

Publication Date

May 1, 2026

Submission Date

January 7, 2026

Acceptance Date

April 27, 2026

Published in Issue

Year 2026 Volume: 10 Number: 2

DOI

https://doi.org/10.31127/tuje.1856654

IZ

https://izlik.org/JA88FW96HA

Cite

RIS / Bibtex

APA

Al-Karaawi, A. A. H., & Feizizadeh, B. (2026). Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques. Turkish Journal of Engineering, 10(2), 582-591. https://doi.org/10.31127/tuje.1856654

AMA

1.Al-Karaawi AAH, Feizizadeh B. Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques. TUJE. 2026;10(2):582-591. doi:10.31127/tuje.1856654

Chicago

Al-Karaawi, Ali Aabar Hasan, and Bakhtiar Feizizadeh. 2026. “Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques”. Turkish Journal of Engineering 10 (2): 582-91. https://doi.org/10.31127/tuje.1856654.

EndNote

Al-Karaawi AAH, Feizizadeh B (May 1, 2026) Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques. Turkish Journal of Engineering 10 2 582–591.

IEEE

[1]A. A. H. Al-Karaawi and B. Feizizadeh, “Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques”, TUJE, vol. 10, no. 2, pp. 582–591, May 2026, doi: 10.31127/tuje.1856654.

ISNAD

Al-Karaawi, Ali Aabar Hasan - Feizizadeh, Bakhtiar. “Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques”. Turkish Journal of Engineering 10/2 (May 1, 2026): 582-591. https://doi.org/10.31127/tuje.1856654.

JAMA

1.Al-Karaawi AAH, Feizizadeh B. Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques. TUJE. 2026;10:582–591.

MLA

Al-Karaawi, Ali Aabar Hasan, and Bakhtiar Feizizadeh. “Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques”. Turkish Journal of Engineering, vol. 10, no. 2, May 2026, pp. 582-91, doi:10.31127/tuje.1856654.

Vancouver

1.Ali Aabar Hasan Al-Karaawi, Bakhtiar Feizizadeh. Real-Time Object Detection in Complex Environments: Leveraging Deep Learning and Computer Vision Techniques. TUJE. 2026 May 1;10(2):582-91. doi:10.31127/tuje.1856654