Real Time Object Detection using CNN based Single Shot Detector Model

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Juneja Abhinav; Juneja Sapna; Soneja Aparna; Jain Saurav

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Paper Information

Journal: Journal of Information Technology Management Year:2021 | Volume:13 | Issue:1 Page(s): 62-80

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Title

Real Time Object Detection using CNN based Single Shot Detector Model

Author(s)

Juneja Abhinav | Juneja Sapna | Soneja Aparna | Jain Saurav | Issue Writer Certificate

Keywords

Object Detection

Deep Learning

CNN

SSD

Tensor Flow

OpenCV

Abstract

Object Detection has been one of the areas of interest of research community for over years and has made significant advances in its journey so far. There is a tremendous scope in the applications that would benefit with more innovations in the domain of Object Detection. Rapid growth in the field of machine learning has complemented the efforts in this area and in the recent times, research community has contributed a lot in real time Object Detection. In the current work, authors have implemented real time Object Detection and have made efforts to improve the accuracy of the detection mechanism. In the current research, we have used SSD_v2_inception_coco model as Single Shot Detection models deliver significantly better results. A dataset of more than 100 raw images is used for training and then xml files are generated using labellimg. Tensor Flow records generated are passed through training pipelines using the proposed model. OpenCV captures real-time images and CNN performs convolution operations on images. The real time Object Detection delivers an accuracy of 92. 7%, which is an improvement over some of the existing models already proposed earlier. Model detects hundreds of objects simultaneously. In the proposed model, accuracy of Object Detection significantly improvises over existing methodologies in practice. There is a substantial dataset to evaluate the accuracy of proposed model. The model may be readily useful for Object Detection applications including parking lots, human identification, and inventory management.

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APA: Copy

Juneja, Abhinav, Juneja, Sapna, Soneja, Aparna, & Jain, Saurav. (2021). Real Time Object Detection using CNN based Single Shot Detector Model. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 13(1), 62-80. SID. https://sid.ir/paper/671891/en

Vancouver: Copy

Juneja Abhinav, Juneja Sapna, Soneja Aparna, Jain Saurav. Real Time Object Detection using CNN based Single Shot Detector Model. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2021;13(1):62-80. Available from: https://sid.ir/paper/671891/en

IEEE: Copy

Abhinav Juneja, Sapna Juneja, Aparna Soneja, and Saurav Jain, “Real Time Object Detection using CNN based Single Shot Detector Model,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 13, no. 1, pp. 62–80, 2021, [Online]. Available: https://sid.ir/paper/671891/en

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