A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces
This study presents a novel Binary Object Detection Pattern Model (BODPM) to detect objects with face key points and recognize them using the KERAS dataset. The proximity and accuracy of the recognized items were evaluated using computer vision techniques. The object recognition time interval and du...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2024-02-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/6631 |
| _version_ | 1797319284656963584 |
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| author | S. Sajini B. Pushpa |
| author_facet | S. Sajini B. Pushpa |
| author_sort | S. Sajini |
| collection | DOAJ |
| description | This study presents a novel Binary Object Detection Pattern Model (BODPM) to detect objects with face key points and recognize them using the KERAS dataset. The proximity and accuracy of the recognized items were evaluated using computer vision techniques. The object recognition time interval and duration were recorded and stored permanently in a database, and the information was communicated to the visually impaired user as voice output. The normal face, without wearing a mask, was identified using binary patterns with proximity detection. Camouflaged objects were detected in a maximum probability range of 100%. The proposed method was tested, calculating accuracy and score, and compared with existing models, showcasing remarkable performance. The proposed method of normal and camouflage detection is a novel prediction with proximity analysis of objects in a frame.
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| first_indexed | 2024-03-08T04:04:41Z |
| format | Article |
| id | doaj.art-725155b9e8314fd1ad708550a71a5836 |
| institution | Directory Open Access Journal |
| issn | 2241-4487 1792-8036 |
| language | English |
| last_indexed | 2024-03-08T04:04:41Z |
| publishDate | 2024-02-01 |
| publisher | D. G. Pylarinos |
| record_format | Article |
| series | Engineering, Technology & Applied Science Research |
| spelling | doaj.art-725155b9e8314fd1ad708550a71a58362024-02-09T06:06:01ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362024-02-0114110.48084/etasr.6631A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged FacesS. Sajini0B. Pushpa1Department of Computer and Information Science, Faculty of Science, Annamalai University, IndiaDepartment of Computer and Information Science, Faculty of Science, Annamalai University, IndiaThis study presents a novel Binary Object Detection Pattern Model (BODPM) to detect objects with face key points and recognize them using the KERAS dataset. The proximity and accuracy of the recognized items were evaluated using computer vision techniques. The object recognition time interval and duration were recorded and stored permanently in a database, and the information was communicated to the visually impaired user as voice output. The normal face, without wearing a mask, was identified using binary patterns with proximity detection. Camouflaged objects were detected in a maximum probability range of 100%. The proposed method was tested, calculating accuracy and score, and compared with existing models, showcasing remarkable performance. The proposed method of normal and camouflage detection is a novel prediction with proximity analysis of objects in a frame. https://etasr.com/index.php/ETASR/article/view/6631binary object detection pattern modelKERAS datasetvisually impairedcomputer visioncamouflaged object detectionparameter assessment |
| spellingShingle | S. Sajini B. Pushpa A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces Engineering, Technology & Applied Science Research binary object detection pattern model KERAS dataset visually impaired computer vision camouflaged object detection parameter assessment |
| title | A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces |
| title_full | A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces |
| title_fullStr | A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces |
| title_full_unstemmed | A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces |
| title_short | A Binary Object Detection Pattern Model to Assist the Visually Impaired in detecting Normal and Camouflaged Faces |
| title_sort | binary object detection pattern model to assist the visually impaired in detecting normal and camouflaged faces |
| topic | binary object detection pattern model KERAS dataset visually impaired computer vision camouflaged object detection parameter assessment |
| url | https://etasr.com/index.php/ETASR/article/view/6631 |
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