Fabio D'Agnano
Lens filter for a drone
D'Agnano, Fabio; White, Micheal
Authors
Micheal White
Contributors
Sonny-Lee Lightfoot
Project Member
Micheal Joyce-Badea
Project Member
Abstract
True to Nature Limited (TTN) is a Bristol based independent TV production company that specialises in premium and innovative natural history content. The company values emotive storytelling and invests in technology that can support this through innovative filming techniques and perspectives.
TTN uses drones, that have revolutionized the world of photography, allowing for stunning aerial shots that were once only possible with expensive equipment and specialized expertise. One essential component of aerial photography is the use of camera filters, which can dramatically enhance image quality by controlling light and reducing glare.
TTN has asked the Centre for Print Research (CFPR) to design and prototype a versatile and convenient camera filter solutions for their high-end drone.
This bespoke filter holder has to be specifically designed for their drone, offering a bespoke solution that is lightweight, easy to change, and adaptable to various shooting conditions. In this report, we will provide an overview of our prototype, highlighting its features.
Report Type | Project Report |
---|---|
Deposit Date | Sep 6, 2023 |
Publicly Available Date | Sep 8, 2023 |
Public URL | https://uwe-repository.worktribe.com/output/11075805 |
Files
Lens filter for a drone
(1.9 Mb)
PDF
You might also like
VR for Architecture and Construction Industry
(2018)
Book Chapter
3ds Max per l'architettura
(2019)
Book
Craftsmen and technology
(2016)
Book Chapter
Audio tactile system within VIBE
(2018)
Exhibition / Performance
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search