Design and implementation of Marine biometrics identification and recommendation mini program based on YOLO

This paper presents a design and implementation scheme of Marine biometrics identification and recommendation mini program based on YOLO object detection algorithm. With the development and utilization of Marine resources, the demand for Marine biological identification and protection applications is increasing, so it is of great significance to design and implement an application that can intelligently identify Marine organisms and recommend high-quality seafood products. There are many limitations in the traditional Marine biometrics, such as fuzzy image and insufficient key technology of target detection. To solve these problems, the project team adopted the improved YOLO algorithm, combining a variety of techniques to improve the accuracy and real-time identification of Marine organisms. The Marine biological recognition and recommendation mini program based on YOLO algorithm can automatically identify the types of Marine organisms in the uploaded pictures, and provide relevant information and suggestions according to the identification results, helping users to understand the overview of Marine organisms more intuitively and clearly, and providing the recommendation function of nearby Marine product merchants. This project verifies the effectiveness and practicability of the mini program through practical application tests in different scenarios, providing the public with a convenient tool to enhance the understanding of Marine biodiversity and support the sustainable development of Marine ecosystems.