Intelligent Shophouse System

Autor: A. A. A. Wahab, Chew Rui Ping, Syazwan Iman Bin Shairunizam, Mohamad Haikal Bin Mohamad Nazari, S. S. N. Alhady, Wan Amir Fuad Wajdi Othman, Nurul Farah Aina Bt Mohd Sabri
Rok vydání: 2021
Předmět:
Zdroj: Journal of Physics: Conference Series. 1969:012031
ISSN: 1742-6596
1742-6588
Popis: An Intelligent Shophouse System has been developed and built which can applied in most of the small-scale stores such as convenient store and retail pharmacy. By implementing IoT, efficient customer monitoring systems enables to limit the customers from enter to the store and practice hygiene environment within the store. Compromising of different sensors which capable to detect the customers that come into the stores and track for the number of customers inside the store. The information from sensor help to count on for the customers and display the available spaces at outside the premise. An ESP32 is used to allow bidirectional communication between sensors and MIT application. The data from sensors will always updated into the IoT Cloud and users able to view the number of customers inside the premise in real time, while the users able to adjust the limitation of customers at anytime. Contactless hand sanitizer implemented to ensure hygienic of the customers and reduce spreading of virus. This is beneficial for users especially for shop owners which would like to limit and monitor number of the customer inside the store without being in contact with them and help to reduce the virus in their surroundings.
Databáze: OpenAIRE