Thermal imaging and human detection

With the rapid development, the current energy consumption of buildings is almost one-third of the country's total energy consumption. A smart energy management system is needed for the building to be intelligently controlled. The first aim for smart control is collecting data, which depends o...

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Main Author: Li, Anchi
Other Authors: Arokiaswami Alphones
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/143275
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1432752023-07-04T16:48:04Z Thermal imaging and human detection Li, Anchi Arokiaswami Alphones School of Electrical and Electronic Engineering Energy Research Institute @NTU EAlphones@ntu.edu.sg Engineering::Electrical and electronic engineering With the rapid development, the current energy consumption of buildings is almost one-third of the country's total energy consumption. A smart energy management system is needed for the building to be intelligently controlled. The first aim for smart control is collecting data, which depends on the sensors. The sensors are chosen based on the parameters to be monitored. For example, smart control of Air Conditioner needs thermal sensors. In this project, we compared different sensors and the Grid-EYE thermopile sensor has been chosen. Then, calibration has been performed to the sensor to meet the requirements: human detection and moving direction judgement. The principle of human detection is pattern recognition. This article introduces the basic definition of pattern recognition, pattern recognition system and different methods of pattern recognition. After comparing different pattern recognition algorithms, the K-Nearest Neighbor algorithm has been chosen for the project. The experiment for human detection includes target judgement, people counting and direction determination. The sensor was placed at three different positions, and the results obtained were reasonably accurate. Master of Science (Communications Engineering) 2020-08-18T08:01:02Z 2020-08-18T08:01:02Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/143275 en 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
Li, Anchi
Thermal imaging and human detection
description With the rapid development, the current energy consumption of buildings is almost one-third of the country's total energy consumption. A smart energy management system is needed for the building to be intelligently controlled. The first aim for smart control is collecting data, which depends on the sensors. The sensors are chosen based on the parameters to be monitored. For example, smart control of Air Conditioner needs thermal sensors. In this project, we compared different sensors and the Grid-EYE thermopile sensor has been chosen. Then, calibration has been performed to the sensor to meet the requirements: human detection and moving direction judgement. The principle of human detection is pattern recognition. This article introduces the basic definition of pattern recognition, pattern recognition system and different methods of pattern recognition. After comparing different pattern recognition algorithms, the K-Nearest Neighbor algorithm has been chosen for the project. The experiment for human detection includes target judgement, people counting and direction determination. The sensor was placed at three different positions, and the results obtained were reasonably accurate.
author2 Arokiaswami Alphones
author_facet Arokiaswami Alphones
Li, Anchi
format Thesis-Master by Coursework
author Li, Anchi
author_sort Li, Anchi
title Thermal imaging and human detection
title_short Thermal imaging and human detection
title_full Thermal imaging and human detection
title_fullStr Thermal imaging and human detection
title_full_unstemmed Thermal imaging and human detection
title_sort thermal imaging and human detection
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/143275
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