Abstract
An ever-increasing number of people are living with visual
impairments. As machine learning techniques evolve alongside improving
hardware available on embedded devices, there exists the potential to
develop a system which can detect and localise objects in an indoor setting.
This system would aim to detect objects and localise them, thereby
allowing the user to navigate around these obstacles in an unfamiliar environment.
The work presented here show the initial investigations into
the development of such a system. The information presented will cover
the investigation of a number of machine learning techniques as well as
the deployment of a model onto a constrained device.
impairments. As machine learning techniques evolve alongside improving
hardware available on embedded devices, there exists the potential to
develop a system which can detect and localise objects in an indoor setting.
This system would aim to detect objects and localise them, thereby
allowing the user to navigate around these obstacles in an unfamiliar environment.
The work presented here show the initial investigations into
the development of such a system. The information presented will cover
the investigation of a number of machine learning techniques as well as
the deployment of a model onto a constrained device.
Original language | English |
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Title of host publication | Advances in Computational Intelligence Systems |
Subtitle of host publication | Contributions Presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024), September 2-4, 2024, Ulster University, Belfast, UK |
Editors | Huiru Zheng, David Glass, Maurice Mulvenna, Jun Liu, Hui Wang |
Publisher | Springer Cham |
Pages | 157-169 |
Number of pages | 13 |
Volume | 1462 |
ISBN (Electronic) | 978-3-031-78857-4 |
ISBN (Print) | 978-3-031-78856-7 |
DOIs | |
Publication status | Published online - 8 Jan 2025 |
Event | 23rd Annual UK Workshop on Computational Intelligence 2024 - Ulster University, Belfast, Belfast, Northern Ireland Duration: 2 Sept 2024 → 4 Sept 2024 https://computing.ulster.ac.uk/ZhengLab/UKCI2024/ |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Publisher | Springer Chham |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Workshop
Workshop | 23rd Annual UK Workshop on Computational Intelligence 2024 |
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Abbreviated title | UKCI 2024 |
Country/Territory | Northern Ireland |
City | Belfast |
Period | 2/09/24 → 4/09/24 |
Internet address |
Keywords
- Machine Learning
- Deep Learning
- Embedded Systems
- The Edge
- Neural Networks
- Arduino