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http://dx.doi.org/10.22937/IJCSNS.2021.21.9.7

Customer Activity Recognition System using Image Processing  

Waqas, Maria (Department of Computer and Information Systems Engineering, NED University of Engineering and Technology)
Nasir, Mauizah (Department of Computer and Information Systems Engineering, NED University of Engineering and Technology)
Samdani, Adeel Hussain (Department of Computer Engineering, Sir Syed University of Engineering and Technology)
Naz, Habiba (Department of Computer and Information Systems Engineering, NED University of Engineering and Technology)
Tanveer, Maheen (Department of Computer and Information Systems Engineering, NED University of Engineering and Technology)
Publication Information
International Journal of Computer Science & Network Security / v.21, no.9, 2021 , pp. 63-66 More about this Journal
Abstract
The technological advancement in computer vision has made system like grab-and-go grocery a reality. Now all the shoppers have to do now is to walk in grab the items and go out without having to wait in the long queues. This paper presents an intelligent retail environment system that is capable of monitoring and tracking customer's activity during shopping based on their interaction with the shelf. It aims to develop a system that is low cost, easy to mount and exhibit adequate performance in real environment.
Keywords
Image processing; Convolutional neural network; Customers' tracking; Deep learning; Computer vision;
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  • Reference
1 Zhao, C., Han, J.G. and Xu, X., CNN and RNN Based Neural Networks for Action Recognition. In Journal of Physics: Conference Series, vol. 1087 (6), pp. 062013 (2018).
2 Qiu, X. and Zhang, S., Hand Detection for Grab-and-Go Groceries. Technical report (2017). cs231n.stanford.edu
3 O'Shea, K., Nash, R., An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458 (2015).
4 Kong, L., Fan, X., Lussier, J., Item Removal Detection in Retail Environments with Neural Networks. cs231n.stanford.edu.
5 Chen, Y., A new design on image processing scheme for smart car. In Journal of Physics: Conference Series, vol. 1087 (6), p. 062012 (2018).
6 Murphy, J., An overview of convolutional neural network architectures for deep learning. Microway Inc (2016).