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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Object Detection In Surveillence Using Deep Learning |
| Authors Name: | P.Hari Kiran , B. Varshith Kumar , G.Litish Kumar , P.Sajeeva Rathna |
| Download E-Certificate: | Download |
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IJNRD_184930
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| Published Paper Id: | IJNRD2212165 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | |
| Abstract: | Object detection in surveillance involves using computer vision algorithms to identify objects of interest in video footage. This technology has a wide range of applications, including security and safety monitoring, traffic management, and assistance for individuals with disabilities. The goal of object detection is to automatically locate and classify objects within a scene, such as cars, pedestrians, or specific individuals. This is typically achieved using machine learning algorithms that are trained on a large dataset of labeled images. The resulting model can then be applied to real-time video streams to detect and track objects of interest. Some challenges associated with object detection in surveillance include dealing with variations in lighting and camera angle, and ensuring the privacy and security of individuals captured by the surveillance system. Overall, object detection in surveillance has the potential to greatly enhance the capabilities of surveillance systems, making them more efficient and effective at identifying and responding to potential threats or situations of interest. |
| Keywords: | Deep learning technique, CNN (Convolutional neural network.), R-CNN (region based convolutional neural network) |
| Cite Article: | "Object Detection In Surveillence Using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b559-b562, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212165.pdf |
| Downloads: | 000118759 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2212165 Registration ID: 184930 Published In: Volume 7 Issue 12, December-2022 DOI (Digital Object Identifier): Page No: b559-b562 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2212165 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2212165 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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