Vision based aerial vehicle for progress monitoring

• Main Author: Chandra, Steven Andreas
• Other Authors: CHEAH Chien Chern
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149686
• Institution: Nanyang Technological University

Building construction is one of the most essential parts of human lives. So far, humans have been trying to make the building construction process more effective, efficient, and safer. However, we still cannot foresee the duration of the construction progress. Currently, we can only predict or assume on how long it will take to complete the construction of a building. One of the methods that can tackle this kind of problem is by using a Machine Learning platform implemented on an aerial vehicle such as drones to monitor the construction progress. The drone will take a picture of a whole building and the result will be tested using an Object Classification Algorithm such as YOLO CNN. The drone will take a route to scan the whole building and check the construction progress. The scanning method will be done by taking a video throughout the whole flight path and the resulted video will be tested by using YOLO CNN as well.