Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/158076
Title: | AI drone photography | Authors: | Muhammad Yahsa Ryan Razali | Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2022 | Publisher: | Nanyang Technological University | Source: | Muhammad Yahsa Ryan Razali (2022). AI drone photography. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158076 | Project: | A2136-211 | Abstract: | Aerial Drones has developed a lot over the years and has become a well known technology in today's modern world. It is even available in retail outlets for hobbyist and toys for children. However, it comes at a high price. In this project, a low cost micro drone with streaming a nd photograph y capabilities that is suitable for both hobbyist and children. The drone will be able t o interreact with any s mart phone devices as a controller and any device with Wi Fi capability as user s display . The micro controller used is the ESP32 S, a dual core 32 bit CPU from the ESP32 family . T his CPU is ha s more than enough computing capacity to support both streaming and photography capability. Further development is also possible due to the excess computing capacity. The main firmware used in this project is from an open source found on GitHub which is available for anyone. T his report also serves as a guide for anyone who wishes to re create this project and develop it further. An Arduino Nano is also used in this project to upload the main firmware into the micro controller. This report also discusses the challenges faced its solutions and possible development for future work. | URI: | https://hdl.handle.net/10356/158076 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FYP Final Report Ryan.pdf Restricted Access | FYP report AI Drone | 2.27 MB | Adobe PDF | View/Open |
Page view(s)
51
Updated on Sep 23, 2023
Download(s)
6
Updated on Sep 23, 2023
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.