Electronic Resource
Edge computing based real-time Nephrops (Nephrops norvegicus) catch estimation in demersal trawls using object detection models
| العنوان: | Edge computing based real-time Nephrops (Nephrops norvegicus) catch estimation in demersal trawls using object detection models |
|---|---|
| المؤلفون: | Avsar, Ercan, Feekings, Jordan P., Krag, Ludvig Ahm |
| المصدر: | Avsar , E , Feekings , J P & Krag , L A 2024 , ' Edge computing based real-time Nephrops ( Nephrops norvegicu s) catch estimation in demersal trawls using object detection models ' , Scientific Reports , vol. 14 , 9481 . |
| بيانات النشر: | 2024 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | In demersal trawl fisheries, the unavailability of the catch information until the end of the catching process is a drawback, leading to seabed impacts, bycatches and reducing the economic performance of the fisheries. The emergence of in-trawl cameras to observe catches in real-time can provide such information. This data needs to be processed in real-time to determine the catch compositions and rates, eventually improving sustainability and economic performance of the fisheries. In this study, a real-time underwater video processing system counting the Nephrops individuals entering the trawl has been developed using object detection and tracking methods on an edge device (NVIDIA Jetson AGX Orin). Seven state-of-the-art YOLO models were tested to discover the appropriate training settings and YOLO model. To achieve real-time processing and accurate counting simultaneously, four frame skipping ideas were evaluated. It has been shown that adaptive frame skipping approach, together with YOLOv8s model, can increase the processing speed up to 97.47 FPS while achieving correct count rate and F-score of 82.57% and 0.86, respectively. In conclusion, this system can improve the sustainability of the Nephrops directed trawl fishery by providing catch information in real-time. |
| مصطلحات الفهرس: | article |
| URL: | |
| الاتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| ملاحظة: | application/pdf English |
| Other Numbers: | EDN oai:pure.atira.dk:publications/4379335a-d262-4875-871e-273619e3b352 1439391125 |
| المصدر المساهم: | TECHNICAL KNOWLEDGE CTR DENMARK From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1439391125 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |