https://projectswiki.eleceng.adelaide.edu.au/projects/api.php?action=feedcontributions&feedformat=atom&user=A1719123 2026-06-13T10:13:20Z User contributions MediaWiki 1.31.4 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=File:GPA.png&diff=16076 2021-04-09T05:21:33Z

<p>A1719123: </p> <hr /> <div></div>

A1719123 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2021s1-13007_Optical_Character_Recognition_for_Hazardous_Area_Equipment_Labels&diff=16075 2021-04-09T05:21:24Z

<p>A1719123: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2021s1|13007]]<br /> [[File:GPA.png|600px|thumb|right|Project Sponsor, GPA Engineering, Logo. Image courtesy of GPA Engineering.]]<br /> Devices installed in hazardous areas of a site typically have a label attached to them. This label is either engraved or etched with critical information such as location, tag number, certifications, model number and manufacturer of the device. Currently the technicians manually enter this data into a hazardous area inspection sheet (HAIS) using tablets and the equipment is then visually inspected and photographed. These inspections are performed on thousands of pieces of equipment at each site and reinspected once every 4 years, making it critical that the process be as efficient as possible. <br /> == Introduction ==<br /> The manual inspection and input into HAIS using tablets is a highly tedious and time consuming task. GPA Engineering is seeking a way in which this information could be input in an semi-automated fashion using modern machine learning, computer vision and optical character recognition (OCR) techniques. There is additional scope for the research of lighting, capture and image manipulation techniques to enhance OCR capability in difficult environments or when equipment labels are either corroded or not mounted on a flat surface. <br /> <br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Duncan Cameron<br /> * Thomas Butler<br /> ==== Supervisors ====<br /> * Dr. Danny Gibbins<br /> * Dr. Hong Gunn Chu<br /> * Mr. Josh Weber (GPA Engineering)<br /> * Mr. Dave Johnson (GPA Engineering)<br /> <br /> === Objectives ===<br /> Set of objectives<br /> <br /> == Background ==<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] <br /> <br /> [2]</div>

A1719123 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2021s1-13007_Optical_Character_Recognition_for_Hazardous_Area_Equipment_Labels&diff=16074 2021-04-09T05:18:06Z

<p>A1719123: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2021s1|13007]]<br /> [[File:GPA.jpg|600px|thumb|right|Project Sponsor, GPA Engineering, Logo. Image courtesy of GPA Engineering.]]<br /> Devices installed in hazardous areas of a site typically have a label attached to them. This label is either engraved or etched with critical information such as location, tag number, certifications, model number and manufacturer of the device. Currently the technicians manually enter this data into a hazardous area inspection sheet (HAIS) using tablets and the equipment is then visually inspected and photographed. These inspections are performed on thousands of pieces of equipment at each site and reinspected once every 4 years, making it critical that the process be as efficient as possible. <br /> == Introduction ==<br /> The manual inspection and input into HAIS using tablets is a highly tedious and time consuming task. GPA Engineering is seeking a way in which this information could be input in an semi-automated fashion using modern machine learning, computer vision and optical character recognition (OCR) techniques. There is additional scope for the research of lighting, capture and image manipulation techniques to enhance OCR capability in difficult environments or when equipment labels are either corroded or not mounted on a flat surface. <br /> <br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Duncan Cameron<br /> * Thomas Butler<br /> ==== Supervisors ====<br /> * Dr. Danny Gibbins<br /> * Dr. Hong Gunn Chu<br /> * Mr. Josh Weber (GPA Engineering)<br /> * Mr. Dave Johnson (GPA Engineering)<br /> <br /> === Objectives ===<br /> Set of objectives<br /> <br /> == Background ==<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] <br /> <br /> [2]</div>

A1719123 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2021s1-13007_Optical_Character_Recognition_for_Hazardous_Area_Equipment_Labels&diff=16071 2021-04-09T05:12:23Z

<p>A1719123: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2021s1|13007]]<br /> Devices installed in hazardous areas of a site typically have a label attached to them. This label is either engraved or etched with critical information such as location, tag number, certifications, model number and manufacturer of the device. Currently the technicians manually enter this data into a hazardous area inspection sheet (HAIS) using tablets and the equipment is then visually inspected and photographed. These inspections are performed on thousands of pieces of equipment at each site and reinspected once every 4 years, making it critical that the process be as efficient as possible. <br /> == Introduction ==<br /> The manual inspection and input into HAIS using tablets is a highly tedious and time consuming task. GPA Engineering is seeking a way in which this information could be input in an semi-automated fashion using modern machine learning, computer vision and optical character recognition (OCR) techniques. There is additional scope for the research of lighting, capture and image manipulation techniques to enhance OCR capability in difficult environments or when equipment labels are either corroded or not mounted on a flat surface. <br /> <br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Duncan Cameron<br /> * Thomas Butler<br /> ==== Supervisors ====<br /> * Dr. Danny Gibbins<br /> * Dr. Hong Gunn Chu<br /> * Mr. Josh Weber (GPA Engineering)<br /> * Mr. Dave Johnson (GPA Engineering)<br /> <br /> === Objectives ===<br /> Set of objectives<br /> <br /> == Background ==<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] <br /> <br /> [2]</div>

A1719123 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2021s1-13007_Optical_Character_Recognition_for_Hazardous_Area_Equipment_Labels&diff=16070 2021-04-09T05:06:38Z

<p>A1719123: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2021s1|13007]]<br /> Devices installed in hazardous areas of a site typically have a label attached to them. This label is either engraved or etched with critical information such as location, tag number, certifications, model number and manufacturer of the device. Currently the technicians manually enter this data into a hazardous area inspection sheet (HAIS) using tablets and the equipment is then visually inspected and photographed. These inspections are performed on thousands of pieces of equipment at each site and reinspected once every 4 years, making it critical that the process be as efficient as possible. GPA Engineering is seeking a way in which this information could be input in an automated fashion using modern machine learning, computer vision and optical character recognition (OCR) techniques. There is additional scope for the research of lighting, capture and image manipulation techniques to enhance OCR capability in difficult environments or when equipment labels are either corroded or not mounted on a flat surface.<br /> <br /> == Introduction ==<br /> Project description here<br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Duncan Cameron<br /> * Thomas Butler<br /> ==== Supervisors ====<br /> * Dr. Danny Gibbins<br /> * Dr. Hong Gunn Chu<br /> * Mr. Josh Weber (GPA Engineering)<br /> * Mr. Dave Johnson (GPA Engineering)<br /> <br /> === Objectives ===<br /> Set of objectives<br /> <br /> == Background ==<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] <br /> <br /> [2]</div>

A1719123 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2021s1-13007_Optical_Character_Recognition_for_Hazardous_Area_Equipment_Labels&diff=16069 2021-04-09T05:05:57Z

<p>A1719123: Created page with &quot;Category:Projects Category:Final Year Projects 13007 File:Bucaneer.jpg|600px|thumb|right|Artist&#039;s impression of the BMM spacecraft. Image courtes...&quot;</p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2021s1|13007]]<br /> [[File:Bucaneer.jpg|600px|thumb|right|Artist&#039;s impression of the BMM spacecraft. Image courtesy of DST Group.]]<br /> Devices installed in hazardous areas of a site typically have a label attached to them. This label is either engraved or etched with critical information such as location, tag number, certifications, model number and manufacturer of the device. Currently the technicians manually enter this data into a hazardous area inspection sheet (HAIS) using tablets and the equipment is then visually inspected and photographed. These inspections are performed on thousands of pieces of equipment at each site and reinspected once every 4 years, making it critical that the process be as efficient as possible. GPA Engineering is seeking a way in which this information could be input in an automated fashion using modern machine learning, computer vision and optical character recognition (OCR) techniques. There is additional scope for the research of lighting, capture and image manipulation techniques to enhance OCR capability in difficult environments or when equipment labels are either corroded or not mounted on a flat surface.<br /> <br /> == Introduction ==<br /> Project description here<br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Duncan Cameron<br /> * Thomas Butler<br /> ==== Supervisors ====<br /> * Dr. Danny Gibbins<br /> * Dr. Hong Gunn Chu<br /> * Mr. Josh Weber (GPA Engineering)<br /> * Mr. Dave Johnson (GPA Engineering)<br /> <br /> === Objectives ===<br /> Set of objectives<br /> <br /> == Background ==<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] <br /> <br /> [2]</div>

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