Target detection method and system based on attention YOLO-Tiny

Abstract

The object detection method and system based on attention-based YOLO-Tiny comprises the following steps: 1) Constructing an algorithm model using the YOLOv4-Tiny object detection algorithm with an attention module to identify targets in images; 2) Designing a camera application on the Android platform with functions such as taking photos, recording videos, and manual focusing, including the design of the software's module components and graphical user interface; 3) Based on the design and requirements analysis of the Android camera application, discussing the software's code implementation, including the camera shooting module, object detection module, and settings module. Specifically, the YOLOv4-Tiny object detection model is applied to the object detection module of the camera application. This invention, based on the YOLOv4-Tiny object detection algorithm, designs and implements an Android camera application based on this algorithm. The software is primarily used for the photography function of mobile devices and also features intelligent image target detection, enabling intelligent target tracking in the image.

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