Sensors, wearables, mobile devices, and other Internet of Things (IoT) devices are
becoming increasingly integrated into all aspects of our lives. They are capable of gathering …

The intelligent processing and utilization of visual perception information is the key
technology of Internet of Things (IoT), and object detection based on deep learning is of …

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 …

In this paper, we deal with one of the major issues occurring in the integration of Cloud
Computing (CC) with the Internet of Things (IoT), known as (CoT), ie, the communication of …

Deep learning is a subset of machine learning based on artificial neural networks in which
multiple layers of processing are used to extract progressively higher-level features from …

Advanced technologies and algorithms such as the Internet of Things (IoT), computer vision
(CV), and deep learning are widely used in the healthcare industry to enhance global med …

Real-time-object-detection is object detection in authentic time with expeditious inference
while maintaining a base level of precision. It is a cosmic, energetic yet uncertain and …

The Internet of Things (IoT) is a technological revolutionary paradigm which has enabled
communication with a wide number of devices through the Internet. In this paper we present …

This article describes the application of computer vision to automatically detect pests in
protected forests. One of the most threatening pests in NZ are rodents (rats, mice, possums …

Object detection is the technique of determining the presence of an object and estimating its
location in the image canvas. Object recognition classifies the detected object from the list of …