IoT Based Smart Human Traffic Monitoring System Using Raspberry Pi

Author:

Musharaf Hussain M. M.,Rahman Md. Mahfujur,Uddin Md. Shoreef,Arefin Mohammad Shamsul

Publisher

Springer International Publishing

Reference19 articles.

1. Boyko, N., Basystiuk, O., Shakhovska, N.: Performance evaluation and comparison of software for face recognition, based on Dlib and OpenCV library. In: 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), pp. 478–482. IEEE (2018)

2. Raspberry Pi 3 Model B v1.2. https://www.raspberrypi.com/products/raspberry-pi-3-model-b/. Accessed 24 July 2022

3. Li, C., Qi, Z., Jia, N., Wu, J.: Human face detection algorithm via Haar cascade classifier combined with three additional classifiers. In: 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), pp. 483–487. IEEE (2017)

4. Ahmed, A., Guo, J., Ali, F., Deeba, F., Ahmed, A.: LBPH based improved face recognition at low resolution. In: 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD), pp. 144–147. IEEE (2018)

5. Ismael, K.D., Irina, S.: Face recognition using Viola-Jones depending on Python. Indones. J. Electr. Eng. Comput. Sci. 20(3), 1513–1521 (2020)

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