Computer vision (CV) techniques have played an important role in promoting the
informatization, digitization, and intelligence of industrial manufacturing systems …

As the failure of power line insulators leads to the failure of power transmission systems, an
insulator inspection system based on an aerial platform is widely used. Insulator defect …

Defect detection in power scenarios is a critical task that plays a significant role in ensuring
the safety, reliability, and efficiency of power systems. The existing technology requires …

Aiming at the problems of traditional centralized cloud computing which occupies large
computing resources and creates high latency, this paper proposes a fault detection scheme …

Vision measurement is important for intelligent systems to obtain the precise structural and
spatial information of objects. Beyond the object-specific vision measurement developed for …

Insulators are important safety devices on high-voltage transmission lines. An insulator
inspection system based on UAVs is widely used. Insulator defect detection is performed …

Intensity inhomogeneity is an unavoidable obstacle in image segmentation, which causes
inaccuracy in object extraction. Generally, the approach to tackling intensity inhomogeneity …

Stacking pseudoinverse learner (SP) is an ensemble learning technology, and its
generalization performance greatly affects the effect of image classification. Currently, most …

In-process dimension measurement is critical to achieving higher productivity and realizing
smart manufacturing goals during machining operations. Vision-based systems have …

The accurate counting of laminated sheets, such as packing or printing sheets in industry, is
extremely important because it greatly affects the economic cost. However, the different …