Research on anti-theft target detection of fishery farms based on YOLOv4

Chenyu Zhang; Tong Liu Sr.; Nuozhou Li

doi:10.1117/12.2636617

8 May 2022 Research on anti-theft target detection of fishery farms based on YOLOv4

Chenyu Zhang, Tong Liu Sr., Nuozhou Li

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122491C (2022) https://doi.org/10.1117/12.2636617
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

The anti-theft work of fishery farms has always been the focus. There are many loopholes in traditional methods and it will consume more manpower and material resources. This article try to use a target detection network based on YOLOv4 to identify people and ships above water. The precision (P), recall rate (R), a combination of points of different precision and recall rate AP, and the harmonic mean value of precision and recall rate F1 are used as index evaluations, and finally the trained weights are used to predict pictures. Last, a nice detection effect is obtained. The results show that the use of this network for fishery anti-theft has a wonderful effect.

Citation Download Citation

Chenyu Zhang, Tong Liu Sr., and Nuozhou Li "Research on anti-theft target detection of fishery farms based on YOLOv4", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122491C (8 May 2022); https://doi.org/10.1117/12.2636617

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