scholarly journals Human Position Detection Based on Depth Camera Image Information in Mechanical Safety

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Cheng Zhou ◽  
Dacong Ren ◽  
Xiangyan Zhang ◽  
Cungui Yu ◽  
Likai Ju
Keyword(s):  
Mobile Devices ◽  
Information Acquisition ◽  
Vision System ◽  
Laser Scanner ◽  
Depth Camera ◽  
Image Information ◽  
Position Detection ◽  
Camera Image ◽  
Human Presence Detection ◽  
Human Position

The devices used for human position detection in mechanical safety mainly include safety light curtain, safety laser scanner, safety pad, and vision system. However, these devices may be bypassed when used, and human or equipment cannot be distinguished. To solve this problem, a depth camera is proposed as a human position detection device in mechanical safety. The process of human position detection based on depth camera image information is given; it mainly includes image information acquisition, human presence detection, and distance measurement. Meanwhile, a human position detection method based on Intel RealSense depth camera and MobileNet-SSD algorithm is proposed and applied to robot safety protection. The result shows that the image information collected by the depth camera can detect the human position in real time, which can replace the existing mechanical safety human position detection device. At the same time, the depth camera can detect only human but not mobile devices and realize the separation and early warning of people and mobile devices.

scholarly journals Comparison of Depth Camera and Terrestrial Laser Scanner in Monitoring Structural Deflections

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 201
Author(s):  
Michael Bekele Maru ◽  
Donghwan Lee ◽  
Kassahun Demissie Tola ◽  
Seunghee Park
Keyword(s):  
Optical Sensors ◽  
Point Cloud ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Point Clouds ◽  
Depth Camera ◽  
Terrestrial Laser Scanner ◽  
Cloud Data ◽  
3D Point Clouds ◽  
3D Information

Modeling a structure in the virtual world using three-dimensional (3D) information enhances our understanding, while also aiding in the visualization, of how a structure reacts to any disturbance. Generally, 3D point clouds are used for determining structural behavioral changes. Light detection and ranging (LiDAR) is one of the crucial ways by which a 3D point cloud dataset can be generated. Additionally, 3D cameras are commonly used to develop a point cloud containing many points on the external surface of an object around it. The main objective of this study was to compare the performance of optical sensors, namely a depth camera (DC) and terrestrial laser scanner (TLS) in estimating structural deflection. We also utilized bilateral filtering techniques, which are commonly used in image processing, on the point cloud data for enhancing their accuracy and increasing the application prospects of these sensors in structure health monitoring. The results from these sensors were validated by comparing them with the outputs from a linear variable differential transformer sensor, which was mounted on the beam during an indoor experiment. The results showed that the datasets obtained from both the sensors were acceptable for nominal deflections of 3 mm and above because the error range was less than ±10%. However, the result obtained from the TLS were better than those obtained from the DC.

Semantic Knowledge Mining Techniques for Ubiquitous Access Media Usage Analysis

2007 ◽  
pp. 236-262
Author(s):  
John Garofalakis ◽  
Theodoula Giannakoudi ◽  
Yannis Panagis ◽  
Evangelos Sakkopoulos ◽  
Athanasios Tsakalidis
Keyword(s):  
Mobile Devices ◽  
Information Acquisition ◽  
Semantic Knowledge ◽  
Log Analysis ◽  
Semantic Level ◽  
Media Usage ◽  
Ubiquitous Access ◽  
Log File ◽  
Usage Analysis ◽  
The Web

In this chapter, an information acquisition system is proposed which aims to provide log analysis, dealing with ubiquitous access media, by use of semantic knowledge. The lately emerging figure of the semantic Web, the ontologies, may be used to exalt the Web trails to a semantic level so as to reveal their deeper usage information. The proposed architecture, which is presented in detail, intends to overcome mobile devices’ trail duplicates problems and detect semantic operations similarity of server Web services, which are often composed to provide a function. The references that supplement the chapter provide publications that discuss mainly log file mining and analysis and semantic similarity. Useful technology-used URL resources are also provided.

scholarly journals Vision System of Mobile Robot Combining Binocular and Depth Cameras

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yuxiang Yang ◽  
Xiang Meng ◽  
Mingyu Gao
Keyword(s):  
Mobile Robot ◽  
3D Reconstruction ◽  
Trajectory Planning ◽  
Stereo Matching ◽  
Vision System ◽  
Depth Camera ◽  
Structural Constraints ◽  
Depth Cameras ◽  
Stereo Cameras ◽  
Binocular Stereo

In order to optimize the three-dimensional (3D) reconstruction and obtain more precise actual distances of the object, a 3D reconstruction system combining binocular and depth cameras is proposed in this paper. The whole system consists of two identical color cameras, a TOF depth camera, an image processing host, a mobile robot control host, and a mobile robot. Because of structural constraints, the resolution of TOF depth camera is very low, which difficultly meets the requirement of trajectory planning. The resolution of binocular stereo cameras can be very high, but the effect of stereo matching is not ideal for low-texture scenes. Hence binocular stereo cameras also difficultly meet the requirements of high accuracy. In this paper, the proposed system integrates depth camera and stereo matching to improve the precision of the 3D reconstruction. Moreover, a double threads processing method is applied to improve the efficiency of the system. The experimental results show that the system can effectively improve the accuracy of 3D reconstruction, identify the distance from the camera accurately, and achieve the strategy of trajectory planning.

Integration of DV Based Motion Information and High-Resolution Digital Camera Image Information

2004 ◽  
Vol 2004.7 (0) ◽  
pp. 347-348
Author(s):  
Yoshihiko NOMURA ◽  
Ryutaro MATSUDA ◽  
Tokuhiro SUGIURA ◽  
Hirokazu Matsui ◽  
Norihiko KATO
Keyword(s):  
High Resolution ◽  
Digital Camera ◽  
Motion Information ◽  
Image Information ◽  
Camera Image

scholarly journals OUTLINING A RELEVANT UNDERGRADUATE COURSE ON COMPUTER VISION

2012 ◽  
Author(s):  
Gabriel Thomas
Keyword(s):  
Computer Vision ◽  
Mobile Devices ◽  
Vision System ◽  
Computer Vision System ◽  
System A ◽  
Software And Hardware

Having offered a computer vision course as a 4th year undergraduate elective for almost a decade now prompt me to re-evaluate it, not just with the idea of adding new trends seen at international symposia on a yearly basis but evaluating the course taking into consideration what can be seen as needed outside academia and within academia as a preparation for industry jobs and further studies and research. Thus, this paper suggests the different topics that such a course must cover in order to have a strong background on the necessary steps needed to successfully implement a computer vision system. A discussion regarding software and hardware tools involves what I perceive to be an importance towards covering computer vision based on mobile devices.

scholarly journals THE DESIGN OF GROUND AIR DUAL PURPOSE AGRICULTURAL INFORMATION ACQUISITION ROBOT

2020 ◽  
pp. 259-268
Author(s):  
Qinlan Li
Keyword(s):  
Machine Vision ◽  
Information Acquisition ◽  
Vision System ◽  
Control Group ◽  
Machine Vision System ◽  
Image Processing Algorithm ◽  
Dual Purpose ◽  
Growth State ◽  
Good Ability ◽  
Set Up

The key to the design of the ground air dual-purpose agricultural information acquisition robot is the application of machine vision technology to realize the collection of crop growth state information. This research mainly designs the machine vision system of the ground air dual-purpose agricultural information acquisition robot, including hardware, software and image processing algorithm. The machine vision system designed in this paper can effectively complete the collection of crop status information. In order to verify the effectiveness of machine vision system, blueberry was used as the experimental object. The control group was set up indoor and outdoor, the fruit condition and quality information were detected, and the blueberry yield was estimated according to the test results. The experimental results show that the image segmentation algorithm in the vision system can identify blueberry fruit well, and the system has strong information analysis ability, and can accurately predict the quality and yield of blueberry fruit according to the image. It can be seen that the machine vision system has a good ability of information acquisition and recognition, which has a high reference significance for the design and research of the ground air dual-purpose agricultural information acquisition robot.

USE OF TELEMEDICINE METHODS AND MEANS OF IMAGE INFORMATION ACQUISITION FROM COSMONAUTS

2021 ◽  
Vol 55 (6) ◽  
pp. 13-18
Author(s):  
O.I. Orlov ◽  
◽  
I.I. Popova ◽  
Yu.G. Reviakin ◽  
◽  
...  
Keyword(s):  
International Space Station ◽  
Oral Mucosa ◽  
Information Acquisition ◽  
Space Station ◽  
Informational Support ◽  
Image Information ◽  
International Space ◽  
Biomedical Monitoring

Telemedicine potential in informational support to the biomedical monitoring of Russian crewmembers at the International space station (ISS) is illustrated by experiment BIMS aimed to demonstrate platforms TBK-1 and TBK-1S developed for acquisition and processing of dental, otholaryngological and dermatological images. The paper presents the procedure and results of detailed oral mucosa and teeth examination with the use of TBK-1S, and deliberates on desirable improvements of the on-board telemedicine practice.

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