| Titre : |
Thermal, Optical, and visual Camera Data for Gas Leaks detection from water vapors |
| Type de document : |
Travail de fin d'études |
| Auteurs : |
Asmae Malouli, Auteur ; Quentin DELHAYE, ; Dries TOM, |
| Editeur : |
ECAM |
| Année de publication : |
2023 |
| Note générale : |
Thermal Focus |
| Langues : |
Anglais (eng) |
| Index. décimale : |
TFE - Electronique |
| Résumé : |
The detection of gas leaks is crucial for ensuring the safety of many industries, such as oil and gas, petrochemicals, and industrial manufacturing. Traditional methods for gas leak detection, such as manual inspection and the use of gas sensors, can be time-consuming, costly, and unreliable. Therefore, the need for simultaneous and accurate gas leak detection is increasingly important. This thesis proposes a solution to distinguish gas leakage from vaporization using cameras, specifically a combination of a thermal camera, an OGI (Optical Gas Imaging) camera and a visual camera. The proposed solution includes the development of an application that displays the streaming from the cameras, enables changing the integration time and speed of the cameras, and processes the data to detect gas leaks automatically with an alarm system based on I/O. The research begins with a review of existing solutions and technologies, including the advantages and limitations of thermal and optical cameras. The proposed solution offers a potential solution for gas leak detection and classification. The research contributes to the field of gas leak detection and has implications for industries that require fast and accurate gas leak detection to improve safety and reduce the risk of environmental contamination. |
Thermal, Optical, and visual Camera Data for Gas Leaks detection from water vapors [Travail de fin d'études] / Asmae Malouli, Auteur ; Quentin DELHAYE, ; Dries TOM, . - ECAM, 2023. Thermal Focus Langues : Anglais ( eng)
| Index. décimale : |
TFE - Electronique |
| Résumé : |
The detection of gas leaks is crucial for ensuring the safety of many industries, such as oil and gas, petrochemicals, and industrial manufacturing. Traditional methods for gas leak detection, such as manual inspection and the use of gas sensors, can be time-consuming, costly, and unreliable. Therefore, the need for simultaneous and accurate gas leak detection is increasingly important. This thesis proposes a solution to distinguish gas leakage from vaporization using cameras, specifically a combination of a thermal camera, an OGI (Optical Gas Imaging) camera and a visual camera. The proposed solution includes the development of an application that displays the streaming from the cameras, enables changing the integration time and speed of the cameras, and processes the data to detect gas leaks automatically with an alarm system based on I/O. The research begins with a review of existing solutions and technologies, including the advantages and limitations of thermal and optical cameras. The proposed solution offers a potential solution for gas leak detection and classification. The research contributes to the field of gas leak detection and has implications for industries that require fast and accurate gas leak detection to improve safety and reduce the risk of environmental contamination. |
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