Object detection in optical imaging of the Internet of Things based on deep learning.

ABSTRACT: This article endeavors to enhance image recognition technology within the context of the Internet of Things (IoT). A dynamic image target detection training model is established through the convolutional neural network (CNN) algorithm within the framework of deep learning (DL). Three distinct model configurations are proposed: a nine-layer convolution model, a seven-layer convolution model, and a residual module convolution model. Subsequently, the simulation model of CNN image target detection based on optical imaging is constructed, and the simulation experiments are conducted in scenarios of simple and salient environments, complex and salient environments, and intricate micro-environment. By determining the optimal training iterations, comparisons are drawn in terms of precision, accur

SUBMITTER: Chen R 

PROVIDER: S-EPMC10773733 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature