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Dergiler / Balkan Journal of Electrical and Computer Engineering / 2024 / Cilt: 12 Sayı: 4

Embedded System-Based Image Processing Methods for Detection of Forensic Events in CCTV Videos

İrfan Kılıç(FIRAT ÜNİVERSİTESİ)0000-0001-5079-2825
Emre Orhan(FIRAT UNIVERSITY)0009-0000-2214-2518
Muhammed Enes Özel(FIRAT UNIVERSITY)0009-0001-0556-7757
Gözde Arslan(FIRAT UNIVERSITY)0009-0005-8608-400X
Orhan Yaman(FIRAT UNIVERSITY)0000-0001-9623-2284
Sayfa
330–336
Yayın Tarihi
2025-01-07
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Real-time results were obtained with our approaches applied to images.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Nowadays, there is no place where security cameras (CCTV) are not used.
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Temel Bulgular & Veri:This study, it is aimed to use machine learning to increase the size of security camera recordings with efficient algorithms that can work on devices with low processing power such as embedded systems.
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Sonuç & Katkı:Real-time results were obtained with our approaches applied to images.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Embedded system · Forensic investigation · Video reduction

Abstract

Nowadays, there is no place where security cameras (CCTV) are not used. Security cameras play a huge role in solving criminal cases. However, a lot of time is spent examining these camera recordings. This situation causes the incidents to not be resolved and causes delays. This study, it is aimed to use machine learning to increase the size of security camera recordings with efficient algorithms that can work on devices with low processing power such as embedded systems. Within the scope of the study, an experimental environment was created by installing a security camera system. Fast and effective video reduction algorithms have been developed on videos collected in different scenarios. New approaches called hopscotch and lens algorithms have been presented for video reduction. These approaches are aimed to obtain rapid results by applying them to security camera videos. It is thought that the developed video reduction approaches will lead to the creation of applicable prototypes on embedded cards such as Raspberry Pi. PSNR (Peak Signal to Noise Ratio) metric was used to compare the images. Real-time results were obtained with our approaches applied to images.

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Bu Makaleye Atıf Yap

Kılıç, İ., Orhan, E., Özel, M. E., Arslan, G., Yaman, O. (2025). Embedded System-Based Image Processing Methods for Detection of Forensic Events in CCTV Videos. Balkan Journal of Electrical and Computer Engineering, Cilt: 12 Sayı: 4, 330–336. https://doi.org/10.17694/bajece.1501656

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Kaynakça (15)

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