As a cost-effective and nondestructive detection method, the machine vision technology has been widely applied in of potato defects. Recently, depth camera which supports range sensing used for surface defect detection, such as bumps hollows. In this study, we developed automatic grading system that uses imaging data collector applies learning quality grading. The collects 3D thickness distribution stores images training validation system. system, is composed softmax regression model...

Great changes have taken place in automation and machine vision technology recent years. Meanwhile, the demands for driving safety, efficiency, intelligence also increased significantly. More more attention has been paid to research on advanced driver‐assistance system (ADAS) as one of most important functions intelligent transportation. Compared with traditional transportation, ADAS is superior ensuring passenger optimizing path planning, improving control, especially an autopilot mode....

The volume is one of the important parameters to evaluate potato quality. In order detect tuber automatically, this paper presents a measurement method based on RGB-D camera. A camera established binocular stereo vision was used. novel developed measure and built utilizing new image processing algorithm for depth images. experiment conducted with collection detection 120 potatoes. According shape observation, sampled potatoes were divided into regular irregular group by experience. 60 best...

The field of object detection has widespread applicability in many areas. Despite the multitude methods that are already established, complex scenes with occlusions still prove challenging due to loss information and dynamic changes reduce distinguishable features between target its background, resulting lower accuracy. Addressing shortcomings detecting obscured objects existing models, a novel approach been proposed on YOLOv8n architecture. First, enhancement begins addition small head atop...

MODIS (Moderate Resolution Imaging Spectroradiometer) land product subsets can provide high-quality prior knowledge for the quantitative inversion of and atmospheric parameters. Using LSR (Land Surface Reflectance) dataset, dust storm remote sensing monitoring in this study was carried out via quality control data synthesis. A dynamic threshold supported method proposed based on a monthly synthesized database, which is produced using MOD09A1 data. The apparent reflectance clear-pixels with...

Abstract A temporary road composed of traffic cones is an indispensable practical scene for the realization automatic driving technology. However, detection a challenging issue because their small volume and unfixed position. This work proposes novel method that fuses colour depth image information cone detection. Traffic are captured by special machine vision system consisting two monochrome cameras distance perception acquisition. Via YOLOv4 algorithm based on Darknet platform result...

There has always been high interest in predicting the solder joint fatigue life advanced packaging with accuracy and efficiency. Artificial Intelligence Plus (AI+) is becoming increasingly popular as computational facilities continue to develop. This study will introduce machine learning (a core component of AI). With learning, metamodels that approximate attributes systems or functions are created predict packaging. However, prediction ability highly dependent on size distribution training...

Sand and dust storms (hereafter, "sandstorms") not only damage the ecological environment in northern northwestern China but also influence economic social development of affected regions constitute a threat to human health. This study focuses on monitoring sandstorms analyzing sandstorm migration process China. These are characterized by their high frequency occurrences, strong intensity, long durations highly destructive effects. The dry climate conditions low degree vegetation coverage...

Abstract. The three typical extreme weather of fog, haze and dust storm have occurred frequently in recent years China. These events influence the transportation, ecological environment, daily lives people. Remote sensing is very important technology that can be used to monitor them due its high temporal resolution wide area coverage. But because spectral features conditions are complex, accuracy identification facing severe challenges. In this article, spectra these conditions, as well...

Applying AI-assisted design on simulation (AI-DoS) requires sufficient training database that is generated by a validated, parametric nonlinear finite element model. This study focuses to investigate method achieve the balance between AI model accuracy and computational efforts of FE execution. Considering importance data, we will use K-Medoids select data points for set. Due small ensemble learning introduced enhance prediction performance ANN

Land surface temperature (LST) is important in a variety of applications, such as urban thermal environment monitoring and water resource management. In this paper, eleven candidate split-window (SW) algorithms were adapted to Thermal Infrared Sensor-2 (TIRS-2) data the Landsat 9 satellite for estimating LST. The simulated dataset produced by extensive radiative transfer modeling five global atmospheric profile databases was used determine SW algorithm coefficients. Ground measurements...