Progressive Early Image Recognition for Wireless Vision Sensor Networks
<div><p>A wireless vision sensor network (WVSN) is built by using multiple image sensors connected wirelessly to a central server node performing video analysis, ultimately automating different tasks such as video surveillance. In such applications, a large deployment of sensors in the s...
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| مؤلفون آخرون: | , , |
| منشور في: |
2022
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| _version_ | 1864513519709323264 |
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| author | AlKhzami AlHarami (18278995) |
| author2 | Abubakar Abubakar (18278998) Bo Zhang (6559) Amine Bermak (1895947) |
| author2_role | author author author |
| author_facet | AlKhzami AlHarami (18278995) Abubakar Abubakar (18278998) Bo Zhang (6559) Amine Bermak (1895947) |
| author_role | author |
| dc.creator.none.fl_str_mv | AlKhzami AlHarami (18278995) Abubakar Abubakar (18278998) Bo Zhang (6559) Amine Bermak (1895947) |
| dc.date.none.fl_str_mv | 2022-08-24T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/s22176348 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Progressive_Early_Image_Recognition_for_Wireless_Vision_Sensor_Networks/25514041 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Chemical sciences Analytical chemistry Engineering Electrical engineering Electronics, sensors and digital hardware Physical sciences Atomic, molecular and optical physics image recognition image reconstruction image restoration smart cameras |
| dc.title.none.fl_str_mv | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>A wireless vision sensor network (WVSN) is built by using multiple image sensors connected wirelessly to a central server node performing video analysis, ultimately automating different tasks such as video surveillance. In such applications, a large deployment of sensors in the same way as Internet-of-Things (IoT) devices is required, leading to extreme requirements in terms of sensor cost, communication bandwidth and power consumption. To achieve the best possible trade-off, we propose in this paper a new concept that attempts to achieve image compression and early image recognition leading to lower bandwidth and smart image processing integrated at the sensing node. A WVSN implementation is proposed to save power consumption and bandwidth utilization by processing only part of the acquired image at the sensor node. A convolutional neural network is deployed at the central server node for the purpose of progressive image recognition. The proposed implementation is capable of achieving an average recognition accuracy of 88% with an average confidence probability of 83% for five subimages, while minimizing the overall power consumption at the sensor node as well as the bandwidth utilization between the sensor node and the central server node by 43% and 86%, respectively, compared to the traditional sensor node.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Sensors<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s22176348" target="_blank">https://dx.doi.org/10.3390/s22176348</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_3edc8eacde57d34a25e1627e38069635 |
| identifier_str_mv | 10.3390/s22176348 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25514041 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Progressive Early Image Recognition for Wireless Vision Sensor NetworksAlKhzami AlHarami (18278995)Abubakar Abubakar (18278998)Bo Zhang (6559)Amine Bermak (1895947)Chemical sciencesAnalytical chemistryEngineeringElectrical engineeringElectronics, sensors and digital hardwarePhysical sciencesAtomic, molecular and optical physicsimage recognitionimage reconstructionimage restorationsmart cameras<div><p>A wireless vision sensor network (WVSN) is built by using multiple image sensors connected wirelessly to a central server node performing video analysis, ultimately automating different tasks such as video surveillance. In such applications, a large deployment of sensors in the same way as Internet-of-Things (IoT) devices is required, leading to extreme requirements in terms of sensor cost, communication bandwidth and power consumption. To achieve the best possible trade-off, we propose in this paper a new concept that attempts to achieve image compression and early image recognition leading to lower bandwidth and smart image processing integrated at the sensing node. A WVSN implementation is proposed to save power consumption and bandwidth utilization by processing only part of the acquired image at the sensor node. A convolutional neural network is deployed at the central server node for the purpose of progressive image recognition. The proposed implementation is capable of achieving an average recognition accuracy of 88% with an average confidence probability of 83% for five subimages, while minimizing the overall power consumption at the sensor node as well as the bandwidth utilization between the sensor node and the central server node by 43% and 86%, respectively, compared to the traditional sensor node.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Sensors<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s22176348" target="_blank">https://dx.doi.org/10.3390/s22176348</a></p>2022-08-24T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/s22176348https://figshare.com/articles/journal_contribution/Progressive_Early_Image_Recognition_for_Wireless_Vision_Sensor_Networks/25514041CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/255140412022-08-24T03:00:00Z |
| spellingShingle | Progressive Early Image Recognition for Wireless Vision Sensor Networks AlKhzami AlHarami (18278995) Chemical sciences Analytical chemistry Engineering Electrical engineering Electronics, sensors and digital hardware Physical sciences Atomic, molecular and optical physics image recognition image reconstruction image restoration smart cameras |
| status_str | publishedVersion |
| title | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| title_full | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| title_fullStr | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| title_full_unstemmed | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| title_short | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| title_sort | Progressive Early Image Recognition for Wireless Vision Sensor Networks |
| topic | Chemical sciences Analytical chemistry Engineering Electrical engineering Electronics, sensors and digital hardware Physical sciences Atomic, molecular and optical physics image recognition image reconstruction image restoration smart cameras |