SNDT WOMEN'S UNIVERSITY
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Santacruz (West) Mumbai - 400049
AI-based channel infused coral identification and tracking algorithm for autonomous underwater vehicles (Record no. 131778)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01636nam a2200133 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250624b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bala Naga Jyothi Vandavasi |
| 245 ## - TITLE STATEMENT | |
| Title | AI-based channel infused coral identification and tracking algorithm for autonomous underwater vehicles |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | P 683-690 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | Autonomous underwater vehicles (AUVs) equipped<br/>with in-situ artificial intelligence (AI)-enabled image<br/>processing capability could help understand the influence<br/>of climate change on reef ecology, and evolve wellinformed policy decisions for sustaining coral reefs.<br/>The recent focus is on developing technologies to collect<br/>images of coral reefs autonomously over larger areas<br/>using AUVs with AI-aided image processing capabilities.<br/>This article presents the development of a computer<br/>vision and deep-learning-based coral identification and<br/>tracking algorithm trained on six distinct families of<br/>coral images acquired from the Andaman Islands using a<br/>remotely operated vehicle PROVe500 developed by the<br/>National Institute of Ocean Technology, Chennai. The<br/>YOLOv8-trained coral detection and classification<br/>model, along with the ByteTrack, have been used to<br/>identify and track the corals with mean average precision<br/>and recall rates of 97.4% and 96.8% respectively. The<br/>developed AI algorithm gives confidence in deploying<br/>AUVs to identify and track corals of interest or anomalies in real-time over a large spatial domain. |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="Artificial intelligence, ">Artificial intelligence, </a> |
| -- | <a href="detection">detection</a> |
| -- | <a href="autonomous underwater vehicle">autonomous underwater vehicle</a> |
| -- | <a href=" coral"> coral</a> |
| -- | <a href="tracking">tracking</a> |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 125299 |
| Host Itemnumber | 112524 |
| Title | Current Science |
| International Standard Serial Number | 0011-3891 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 24/06/2025 | JP672.4 | 24/06/2025 | 24/06/2025 | Journal Article |