Welding is a method of realizing material connections, and the development of modern
sensing technology is pushing this traditional process towards automation and intelligence …

Vision processing for control of agile autonomous robots requires low-latency computation,
within a limited power and space budget. This is challenging for conventional computing …

Compute and memory demands of state-of-the-art deep learning methods are still a
shortcoming that must be addressed to make them useful at Internet of Things (IoT) end …

The efficient separation of coal and gangue in the mining process is of great significance for
improving coal mining efficiency and reducing environmental pollution. Automatic detection …

In this paper, we propose a hierarchical building detection framework based on deep
learning model, which focuses on accurately detecting buildings from remote sensing …

CMOS Image Sensors (CIS) are key for imaging technologies. These chips are conceived
for capturing optical scenes focused on their surface, and for delivering electrical images …

This article aims to study the mobile positioning method of mobile educational robots
indoors. In order for robots to be able to unblocked indoors, they can avoid obstacles well …

Objective Today, cerebrovascular disease has become an important health hazard.
Therefore, it is necessary to perform a more accurate and less time-consuming registration …

Sports wearable monitoring equipment is an intelligent device that collects many
physiological signals of the human body through multiple sensors. It has a very active role in …

Developing precise artificial retinas is crucial because they hold the potential to restore
vision, improve visual prosthetics, and enhance computer vision systems. Emulating the …