Object Detection Using MobileNet- SSD

Registration ID: IJNRD_226173

Published ID: IJNRD2407543

DOI: Click Here to Get

Rajnandini D. Chaudhari

Computer Vision, Object Detection, MobileNetv3, Single Shot Multi-Box Detector, OpenCv.1.

The rapid evolution of deep learning techniques has greatly enhanced the capabilities of object detection systems. This paper investigates the integration of MobileNet with the Single Shot MultiBox Detector (SSD) for efficient and accurate object detection.MobileNet, designed with depthwise separable convolutions, significantly reduces computational complexity while maintaining high performance. By combining MobileNet’s lightweight architecture with the SSD framework, which performs object localization and classification in a single pass, we achieve an effective balance between speed and accuracy. Our study benchmarks MobileNet SSD against established object detection models on various datasets, including COCO and PASCAL VOC, highlighting its strengths in real-time applications. We demonstrate that MobileNet SSD offers notable improvements in processing time and resource utilization without compromising detection quality. The findings underline MobileNet SSD’s suitability for deployment in environments with limited computational power, such as mobile devices and edge computing platforms. This research provides valuable insights into optimizing object detection for practical applications, paving the way for more accessible and efficient solutions in areas such as mobile surveillance, wearable technology, and interactive systems.

Published Paper   E-Certificate

Rajnandini D. Chaudhari (July-2024). Object Detection Using MobileNet- SSD. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), g403-g409. https://ijnrd.org/papers/IJNRD2407543.pdf

Volume 9 Issue 7, July-2024

Pages : g403-g409

Paper Reg. ID: IJNRD_226173

Published Paper Id: IJNRD2407543

Downloads: 000121997

Research Area: Computer Engineering 

Country: Jalgaon, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407543.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407543

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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