A visual mechanical signal detection and loading platform with super‐resolution based on
deep learning is designed to improve the detection accuracy of mechanical signals. The …

The current civil infrastructure conditions can be assessed through the measurement of
displacement using conventional contact-type sensors. To address the disadvantages of …

In order to improve the recognition rate and location accuracy of circular targets under the
conditions of long-distance and large deflection angle, a circular target stability detection …

Monitoring the deformation or displacement response of buildings is critical for structural
safety. Recently, the development of computer vision has led to extensive research on the …

The machine-vision based structural displacement measurement methods are widely used
due to its flexible deployment and non-contact measurement characteristics. The accuracy of …

The low-speed and small unmanned aerial vehicle (UAV) detection system based on
photoelectric sensors can quickly and accurately find and identify the UAV targets. However …

Vision‐based displacement measurement is promising and emerging for structural
monitoring. However, the accuracy of visual measurement is commonly limited by the …

Visual measurement methods are gaining more and more attention in the field of structural
body health monitoring due to the advantages of long-range, noncontact, and multipoint …

In the real production of industry, in order to solve the problem that it is usually difficult to
obtain correctly labeled samples, data augmentation algorithms have received more and …

Video surveillance plays an increasingly important role in public security and is a technical
foundation for constructing safe and smart cities. The traditional video surveillance systems …