Object Detection In Surveillence Using Deep Learning

Registration ID: IJNRD_184930

Published ID: IJNRD2212165

DOI: Click Here to Get

P.Hari Kiran , B. Varshith Kumar , G.Litish Kumar , P.Sajeeva Rathna

Deep learning technique, CNN (Convolutional neural network.), R-CNN (region based convolutional neural network)

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.

Published Paper   E-Certificate

P.Hari Kiran, B. Varshith Kumar, G.Litish Kumar, & P.Sajeeva Rathna (December-2022). Object Detection In Surveillence Using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), b559-b562. https://ijnrd.org/papers/IJNRD2212165.pdf

Volume 7 Issue 12, December-2022

Pages : b559-b562

Paper Reg. ID: IJNRD_184930

Published Paper Id: IJNRD2212165

Downloads: 000121988

Research Area: Computer Science & Technology 

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212165.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212165

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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