7th International Conference on Trends in Mechanical Engineering (MEC 2023)
May 13 ~ 14, 2023, Virtual conference
Accepted Papers
Room Service Drone Using Feature Detection
Shorup Chanda, Department of Mechanical Engineering, Bangladesh University of Engineering and Technology, Zahir Raihan Road, Dhaka – 1000, Bangladesh
ABSTRACT
In this current world, hospitality industries are growing at a large scale for tourists. Introducing drone services can add an extra feature of interest to the customers and these hospitality industries can improve customer service and can open a new scope of business. For this reason, many hospitality industries are implementing drone services for surveying their places, taking photography and make a 3D map of area. This project deals with a room service system in an internal environment of a building where it will deliver foods, necessary items from room to room. In our self-assembled and manually controlled drone, real time feature detection method using KNN method has been implemented to detect the room number during flight and deliver the products to the customers in their rooms.
KEYWORDS
Room Service, Number Detection, Feature Detection, KNN, Pixhawk.