Author:
Ansari Aman,Kc Gopal,Dhungel Hasina
Abstract
The Smart Shoe Rack with face recognition is most likely one of the newest projects to have been introduced of its kind. In a Hindu country, temples are almost everywhere, inside the valley as well as outside, where one has to take off his footwear before entering. One of the most common yet overlooked problems is shoe misplacement in crowded temple areas. Therefore, to sort out this major problem, the idea of a Smart Shoe Keeping with face recognition has been proposed in this paper. By the use of microcontrollers, raspberry pi captures face encoding of a person and along with adjusting stepper motors, the shoe can be stacked at one of the sixteen different locations. The use of a clock helps in determining the stepper position at every instance. With face recognition technology, the shoes can be fetched. Once the face is recognized, it is matched with the previously captured person, and the system checks for the available shoe. The position of the stepper is then identified, and the shoe is fetched through the shortest path possible by the step anti/clockwise rotation of the stepper motor. The total time of storage of the footwear displayed in the LCD is then used for charging the amount of money accordingly.
Publisher
Inventive Research Organization
Reference13 articles.
1. [1] Rahaman, Md Faishal, Md Abdullah Al Noman, Muhammad Liakat Ali, and Mahfuzur Rahman. "DESIGN AND IMPLEMENTATION OF A FACE RECOGNITION BASED DOOR ACCESS SECURITY SYSTEM USING RASPBERRY PI." (2021).
2. [2] Zhu, Zhiguo, and Yao Cheng. "Application of attitude tracking algorithm for face recognition based on OpenCV in the intelligent door lock." Computer Communications 154 (2020): 390-397.
3. [3] Niranjan, D. K., and N. Rakesh. "Smart Surveillance System by Face Recognition and Tracking Using Machine Learning Techniques." In Computational Vision and Bio-Inspired Computing, pp. 1-14. Springer, Singapore, 2021.
4. [4] Lenka, Rasmita, Nishant Shubham, Nishant Sinha, and Rohit Gupta. "Realization of Security System Using Facial Recognition and Arduino Keypad Door Lock System." In Advances in Electronics, Communication and Computing, pp. 1-12. Springer, Singapore, 2021.
5. [5] Muqeet, Mohd Abdul. "Face recognition based attendance management system using Raspberry Pi." J. Inform. Comput. Sci 9, no. 10 (2019): 86-90.