Metal component surfaces are random textured and non-smooth. There many stains on the surface of metal that similar to gray scale scratches. The scratches have non-uniform distribution, various shapes, low contrast in their background, posing challenges accurate scratch detection. This paper presents a method for detecting weak based deep convolutional neural networks (DCNNs). First, DCNN is trained using labeled images. Then, some faults detected by DCNN, most can be removed through...

This paper proposes a deep convolutional neural network (CNN) -based technique for the detection of micro defects on metal screw surfaces. The we consider include surface damage, dirt, and stripped screws. Images screws with different types are collected using industrial cameras, which then employed to train designed CNN. To enable efficient detection, first locate surfaces in pictures captured by so that images can be extracted, input CNN-based defect detector. Experiment results show...

The non-contact three-dimensional measurement and reconstruction techniques have played a significant role in the packaging transportation of precious cultural relics. This paper develops structured light based system, with low-cost for relics packaging. system performs rapid measurements generates 3D point cloud data, which is then denoised, registered merged to achieve accurate multi-frequency heterodyne method this are compared. It shown that relative accuracy proposed can reach level...

A new solution to the high-quality 3D reverse modeling problem of complex surfaces for fine workpieces is presented using a laser line-scanning sensor. Due registration errors, measurement deformations, etc., fast and accurate method important in machine vision measurement. This paper builds convenient economic multi-view stereo (MVS) system based on linear stage rotary reconstruct measured object surface completely accurately. In proposed technique, used generate trigger signal synchronize...

Two strategic documents issued by the Chinese Central Government projected that, mid-21st century, linear transport infrastructure (LTI) network of China will rank at forefront ecological and sustainable networks globally. With this goal, it is urgent to summarize existing research, benchmark international research levels, propose development directions strategies for terrestrial vertebrate species protection around LTI in China. In study, we searched peer-reviewed papers before 2020 both...

Roads are an increasingly prevalent form of human activity that drives the decrease in plant community functions and threatens global biodiversity. However, few studies have focused on changes function diversity alpine meadows caused by road infrastructure Tibetan Plateau. In this study, species diversity, functional stability were examined at different distances from Qinghai-Tibet highway. The results showed intensified degradation vegetation, which significantly altered structure. This...

In recent years, highway construction in the Qinghai-Tibet Plateau (QTP) has developed rapidly. When passes through grassland, soil, vegetation, and ecological environment along line are disturbed. However, impact on soil bacteria is still unclear. Soil play an important role environment. The Highway (QTH) was selected as research object to explore changes bacterial community structure, other indicators. results showed that highway-related activities increased degradation of vegetation road,...

There have been few studies of vertebrate roadkill in China, and the lack long-term, large-scale, multiple-species monitoring data made it difficult for transportation departments to make science-based decisions. The 13 highways Changbai Mountains northeast China were selected years monitoring. results showed that there a total 13, 309 belonging 91 species with rate 6.35 ± 2.41 per 100 km day. recorded on walking cycling surveys was 8.4 times higher than driving surveys. We estimate number...

Triangular single-crystalline nanorings of PbS were prepared at the air/water interface and characterized by transmission electron microscopy (TEM), high-resolution TEM (HRTEM), scanning (SEM), atomic force (AFM), UV−vis spectroscopy. The transformed from triangular nanopyramids that formed under Langmuir monolayers arachidic acid (AA) through interfacial reactions between Pb2+ ions in subphases H2S gaseous phase. basal plane pyramids is a (111) face crystals with rock salt crystal...

Infrared spectrum analysis technology can perform fast and nondestructive detection of gas has been widely used in many fields. This work studies the quantitative infrared based on deep learning. The experimental results show that model logging established here reach 100% recognition accuracy for elemental gas; further, rate spectral mixed reached 98%, indicating learning quickly accurately gas.

Ordered two-dimensional (2D) arrays of β-HgS nanocrystal aggregates were prepared successfully at the air/water interface through interfacial reaction between Hg2+ ions in subphase and H2S gaseous phase under direction liquid-expanded monolayers arachidic acid (AA). These 2D are composed hexagonal or quasi-hexagonal with size several hundreds nanometers that consist tens HgS nanocrystals nanometers. The formed together AA molecules self-assembled into round due to interactions species,...

A full-view three-dimensional (3-D) measurement method for complex surfaces is proposed, where 3-D data standard balls with different angles are used to calibrate the rotation axes of a turntable and obtain transformation matrices adjacent views. It can achieve accurate registration views obtains in conjunction principal point calibration cameras modified triple-frequency six-step phase-shifting phase demodulation methods. Experiments show that developed system based on proposed automatic...

Abstract In the task of using robots to capture end-of-life cars, position vehicle door frame needs be grasped. A fast and accurate positioning is key realizing automatic car grasping process. Traditional methods for locating scrap cars rely heavily on manual operations suffer from low efficiency poor accuracy. Therefore, this paper proposes a binocular vision robot spatial localization method based improved YOLOv4. This includes lightweight efficient feature fusion target detection network...

Wildlife crossing structures (WCSs) are an important measure to protect biodiversity and reduce human-wildlife conflict, especially for bundled linear infrastructure. The aim of this study was evaluate two “management behavioral” factors (salt blocks feces) in relation “structural factors” (underpasses’ dimension distance infrastructure) along Qinghai-Tibet infrastructure (Qinghai-Tibet railway alignment runs parallel the highway) Gonghe-Yushu (Gonghe-Yushu expressway is using infrared...

Road mortalities caused by wildlife–vehicle collisions (WVCs) are the most obvious negative effect of roads on wildlife. Identifying influencing factors and summarizing spatial-temporal patterns WVCs have been important research trends in recent decades. However, studies only considered a portion factors, there remains lack relatively complete framework, including numerous WVCs, as well underlying transmission mechanisms between factors. In this study, an analytical framework incorporating...

In order to detect the online alcohol degree and methanol content in a distilled spirit accurately, new system is proposed based on model of quantitative relationship between concentration its characteristic peak area predict utilizing Gaussian fitting Raman spectroscopy least square method. Moreover, difference spectrum method was employed determine value located at 1074.6 cm−1 (caused by bending vibration C–O–H) for building predictive spirits. The experimental results showed that RMSEP...