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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
Article Published : 9033
Total Authors : 23952
Total Reviewer : 831
Total Countries : 162
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Published Paper Details
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| Paper Title: | Motion Detection Technology in Latest Security Cameras |
| Authors Name: | Shaik Mohammed Rizwan , Dr.Zulkharnain Muhammad , Mr. Rafeek Khan , Dr. Phiros Mansur |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_211538
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| Published Paper Id: | IJRTI2604189 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | https://doi.org/10.56975/ijrti.v11i4.211538 |
| Abstract: | Motion detection technology has evolved significantly with the integration of artificial intelligence and deep learning approaches in modern security camera systems. This paper presents a comprehensive review of state-of-the-art motion detection technologies, comparing traditional Passive Infrared (PIR) sensors, video-based motion detection, and AI-driven approaches. We analyze system architectures, performance metrics, and implementation challenges across different motion detection paradigms. Experimental results demonstrate that CNN based deep learning models achieve 96% detection accuracy compared to 88% for traditional video motion detection and 82% for PIR sensors. The paper discusses hybrid fusion architectures combining YOLOv8 object detection with optical flow and anomaly detection models, achieving 92.3% accuracy with real-time 30 FPS throughput. Edge computing implementations and cloud-hybrid architectures are examined for their impact on latency, bandwidth, and storage optimization. Key challenges including false positive rates, computational constraints, privacy concerns, and environmental robustness are addressed. Future directions emphasize lightweight models for edge deployment, sensor fusion frameworks, and privacy-preserving architectures for next-generation intelligent surveillance systems. |
| Keywords: | Motion detection, security cameras, artificial intelligence, deep learning, computer vision, video surveillance, PIR sensors, edge computing, anomaly detection |
| Cite Article: | "Motion Detection Technology in Latest Security Cameras", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b400-b412, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604189.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2604189
Registration ID:211538
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i4.211538
Page No: b400-b412 Country: KURNOOL, Andhra Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604189 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604189 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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