Object Detection Algorithms in Embedded Systems and their Applications
摘要
The role of object detection in embedded systems is vital, but there is a problem with false detection. Manual detection cannot solve the problem of large amounts of data in embedded systems, and the processing efficiency is low. Therefore, this paper proposes an object detection algorithm for embedded system analysis. Firstly, the detection theory is used to evaluate the system, divided according to the detection requirements to reduce the interference factors in the detection. Then, the detection theory analyzes the embedded system, forms a detection scheme, and comprehensively analyzes the detection requirements. MATLAB simulation shows that under specific detection standards, the detection accuracy and object detection of manual detection methods.