Face recognition for location detection of occupants in a building
Face recognition technology has undergone remarkable advancements in recent times, largely owing to improvements in digital camera technology. This technology would benefit from being incorporated into current systems like building management systems to improve the quality of human life and stren...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6011/1/fyp__IB_2023_CKS.pdf http://eprints.utar.edu.my/6011/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Face recognition technology has undergone remarkable advancements in
recent times, largely owing to improvements in digital camera technology. This
technology would benefit from being incorporated into current systems like building
management systems to improve the quality of human life and strengthen security in
varied contexts. The Face Recognition for Location Detection (FRLD) of Occupants in
a Building system in the proposed project aims to fully use face recognition technology
for pinpointing occupant location within a building. By utilising the strength of the
current video network and an extensive database of registered residents, this modern
technology will effectively identify people and locate their locations within the
building. The system promises to revolutionise building management and improve
security by seamlessly combining these components. The development of this project
is based on existing infrastructure and equipment, and refers to the exploration and
development of all similar systems in the market. The main purpose is to address the
lack of effectiveness in tracking the location of all residents in the current process,
inaccurate real-time data, and potential cybersecurity risks and privacy issues that may
arise from the current process. In addition, the project will also address challenges
related to user experience and facial recognition technology. Last but not least, the
proposed system is expected to be implemented in various environments such as office
buildings, hospitals, apartments, and universities to enhance existing building
management and safety measures. Through this measure, we are expected to bring more
efficient management and stronger.
In this report, we also provide a detailed introduction to methodology and
software development lifecycle to clarify the main core of the software and explore into
the process of subsequence to ensure smooth development and completion of the
software. Although some challenges were encountered during the development process,
leading to deviations in planning, but those have been replaced by other approaches and
did not affect the final outcome. |
|---|