AI drone photography

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 photograp...

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Main Author: Muhammad Yahsa Ryan Razali
Other Authors: Meng-Hiot Lim
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158076
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-158076
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spelling sg-ntu-dr.10356-1580762023-07-07T19:24:56Z AI drone photography Muhammad Yahsa Ryan Razali Meng-Hiot Lim School of Electrical and Electronic Engineering EMHLIM@ntu.edu.sg Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-29T07:02:03Z 2022-05-29T07:02:03Z 2022 Final Year Project (FYP) Muhammad Yahsa Ryan Razali (2022). AI drone photography. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158076 https://hdl.handle.net/10356/158076 en A2136-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Muhammad Yahsa Ryan Razali
AI drone photography
description 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.
author2 Meng-Hiot Lim
author_facet Meng-Hiot Lim
Muhammad Yahsa Ryan Razali
format Final Year Project
author Muhammad Yahsa Ryan Razali
author_sort Muhammad Yahsa Ryan Razali
title AI drone photography
title_short AI drone photography
title_full AI drone photography
title_fullStr AI drone photography
title_full_unstemmed AI drone photography
title_sort ai drone photography
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158076
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