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Published in:
2023 | OriginalPaper | Chapter
Design and Implementation of Deep Learning Based Illicit Drug Supplier Detection System
Authors : M. Arulmozhi, Nandini G. Iyer, C. Amutha, S. Jeny Sophia, P. Sivakumar, S. B. Nivethitha
Published in: ICDSMLA 2021
Publisher: Springer Nature Singapore
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Abstract
Video-based face recognition is likely exigent for the reason that a large amount of data has to be processed and it involves intricate computations. This paper provides a novel video-based face recognition system, designed using the convolution neural network (CNN) algorithm. The CNN is trained with the database generated from a video stream to recognize the drug dealers. If a drug dealer is detected, the system alerts the school or college management. The proposed drug distributor detection system is implemented using a 64-bit raspberry Pi 3 microcontroller and a Pi camera module that captures the video stream in real-time. If the detected face is a drug dealer, the system alerts the school or college management through SMS. The experimental results show that the CNN is capable to classify authorized students and drug dealers correctly and detect abnormal activities without using huge amount of training data. A top recognition accuracy of 99.58% was acquired for CNN.