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Investigating Sensor-based Condensation Detection in Network Cameras using Psychrometry

Hansson, Viktor LU and Hermansson, Emil (2023) In CODEN:LUTEDX/TEIE EIEM01 20231
Industrial Electrical Engineering and Automation
Abstract
The presence of fog, or condensation, poses significant challenges in various fields, including surveillance cameras. The main issue is that fog obstructs the camera's view, essentially rendering the camera ineffective for surveillance. Currently, preventative measures such as heating the camera are a remedy at the cost of significantly increased power consumption. This master’s thesis is aimed to enable smarter fog prevention by detecting when fog is present. This is achieved by exploring and testing several fog detection techniques from different industries to develop a prototype capable of detecting the presence of fog.

Four techniques: hygrometry, capacitance, resistance and infrared were initially investigated where hygrometry was... (More)
The presence of fog, or condensation, poses significant challenges in various fields, including surveillance cameras. The main issue is that fog obstructs the camera's view, essentially rendering the camera ineffective for surveillance. Currently, preventative measures such as heating the camera are a remedy at the cost of significantly increased power consumption. This master’s thesis is aimed to enable smarter fog prevention by detecting when fog is present. This is achieved by exploring and testing several fog detection techniques from different industries to develop a prototype capable of detecting the presence of fog.

Four techniques: hygrometry, capacitance, resistance and infrared were initially investigated where hygrometry was decided as the most promising approach. This involves measuring temperature and humidity inside the camera in order to estimate the dew point temperature which is compared to the surface temperature where fog is prevalent. The temperature comparison represents a calculated indication of whether fog formation is theoretically possible.The results were encouraging, indicating promise that the concept could effectively detect fog.

The result and conclusion of this master’s thesis is a developed proof of concept which is able to detect the presence of fogging in outdoor surveillance cameras. The solution consumes an insignificant amount of energy compared to the potential energy savings from detecting fog, demonstrates a potential to be reliable and finally, holds significant promise as an effective detection method. (Less)
Please use this url to cite or link to this publication:
author
Hansson, Viktor LU and Hermansson, Emil
supervisor
organization
alternative title
Sensorbaserad detektering av kondens i nätverkskamera med hjälp av psykrometri
course
EIEM01 20231
year
type
H3 - Professional qualifications (4 Years - )
subject
keywords
Sensor Psychrometry Fog detection Fog removal Condensation detection Hygrometry Surveillance camera
publication/series
CODEN:LUTEDX/TEIE
report number
5497
language
English
id
9131813
date added to LUP
2025-01-22 09:26:26
date last changed
2025-01-22 09:26:26
@misc{9131813,
  abstract     = {{The presence of fog, or condensation, poses significant challenges in various fields, including surveillance cameras. The main issue is that fog obstructs the camera's view, essentially rendering the camera ineffective for surveillance. Currently, preventative measures such as heating the camera are a remedy at the cost of significantly increased power consumption. This master’s thesis is aimed to enable smarter fog prevention by detecting when fog is present. This is achieved by exploring and testing several fog detection techniques from different industries to develop a prototype capable of detecting the presence of fog.

Four techniques: hygrometry, capacitance, resistance and infrared were initially investigated where hygrometry was decided as the most promising approach. This involves measuring temperature and humidity inside the camera in order to estimate the dew point temperature which is compared to the surface temperature where fog is prevalent. The temperature comparison represents a calculated indication of whether fog formation is theoretically possible.The results were encouraging, indicating promise that the concept could effectively detect fog.

The result and conclusion of this master’s thesis is a developed proof of concept which is able to detect the presence of fogging in outdoor surveillance cameras. The solution consumes an insignificant amount of energy compared to the potential energy savings from detecting fog, demonstrates a potential to be reliable and finally, holds significant promise as an effective detection method.}},
  author       = {{Hansson, Viktor and Hermansson, Emil}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{CODEN:LUTEDX/TEIE}},
  title        = {{Investigating Sensor-based Condensation Detection in Network Cameras using Psychrometry}},
  year         = {{2023}},
}