• Title/Summary/Keyword: Depth Sensor

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Detection of Moving Objects using Depth Frame Data of 3D Sensor (3D센서의 Depth frame 데이터를 이용한 이동물체 감지)

  • Lee, Seong-Ho;Han, Kyong-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.5
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    • pp.243-248
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    • 2014
  • This study presents an investigation into the ways to detect the areas of object movement with Kinect's Depth Frame, which is capable of receiving 3D information regardless of external light sources. Applied to remove noises along the boundaries of objects among the depth information received from sensors were the blurring technique for the x and y coordinates of pixels and the frequency filter for the z coordinate. In addition, a clustering filter was applied according to the changing amounts of adjacent pixels to extract the areas of moving objects. It was also designed to detect fast movements above the standard according to filter settings, being applicable to mobile robots. Detected movements can be applied to security systems when being delivered to distant places via a network and can also be expanded to large-scale data through concerned information.

Robot System Design Capable of Motion Recognition and Tracking the Operator's Motion (사용자의 동작인식 및 모사를 구현하는 로봇시스템 설계)

  • Choi, Yonguk;Yoon, Sanghyun;Kim, Junsik;Ahn, YoungSeok;Kim, Dong Hwan
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.6
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    • pp.605-612
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    • 2015
  • Three dimensional (3D) position determination and motion recognition using a 3D depth sensor camera are applied to a developed penguin-shaped robot, and its validity and closeness are investigated. The robot is equipped with an Asus Xtion Pro Live as a 3D depth camera, and a sound module. Using the skeleton information from the motion recognition data extracted from the camera, the robot is controlled so as to follow the typical three mode-reactions formed by the operator's gestures. In this study, the extraction of skeleton joint information using the 3D depth camera is introduced, and the tracking performance of the operator's motions is explained.

Study on the Optimizing Ultrasonic Cell for Depth Measurement of Crude Oil (원유 깊이 측정을 위한 초전도셀 최적화에 관한 연구)

  • Oh, Kyutae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.1
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    • pp.152-156
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    • 2017
  • Until now, most of the studies related to the ultrasonic sensor was in the water or the air. This study is for ultrasonic sensor in crude oil. because the ultrasonic cell use high voltage, it can cause an explosion. So, in crude oil, it did not use an ultrasonic sensor. This is the study of the ultrasonic sensor that generates ultrasonic waves while preventing explosion. Through this study, when trasmit ultrasonic in the crude oil, it found the most adaptive diameter, thickness, transmit frequency of ultrasonic cell to measure the depth of the crude oil and sludge. In conclusion, when a 200kHz frequency is generated by applying a voltage of 24V to the ultrasonic cell, the optimum diameter of ultrasonic cell is 26~28mm, the thickness of ultrasonic cell is 9mm.

vehicle Control Algorithm based on Depth Sensor Measurement System (거리센서 계측기반 이동물체의 인식 알고리즘)

  • Kim, Jong-Man;Kim, Yeong-Min
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.04c
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    • pp.6-9
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    • 2008
  • A 3D depth measurement system is proposed for mobile vehicles. Depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to- the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Non-linear trail are included in this paper.

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Linear System Depth Detection using Retro Reflector for Automatic Vision Inspection System (자동 표면 결함검사 시스템에서 Retro 광학계를 이용한 3D 깊이정보 측정방법)

  • Joo, Young Bok
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.4
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    • pp.77-80
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    • 2022
  • Automatic Vision Inspection (AVI) systems automatically detect defect features and measure their sizes via camera vision. It has been populated because of the accuracy and consistency in terms of QC (Quality Control) of inspection processes. Also, it is important to predict the performance of an AVI to meet customer's specification in advance. AVI are usually suffered from false negative and positives. It can be overcome by providing extra information such as 3D depth information. Stereo vision processing has been popular for depth extraction of the 3D images from 2D images. However, stereo vision methods usually take long time to process. In this paper, retro optical system using reflectors is proposed and experimented to overcome the problem. The optical system extracts the depth without special SW processes. The vision sensor and optical components such as illumination and depth detecting module are integrated as a unit. The depth information can be extracted on real-time basis and utilized and can improve the performance of an AVI system.

The study on Response of the Sensor for monitoring of Chloride Penetration in Concrete (콘크리트내 비래 염소이온 침투 모니터링을 위한 부식센서의 응답성능 평가에 관한 연구)

  • Shin, Sang-Heon;Lee, Hyun-Seok;Ryu, Hwa-Sung;Kim, Bo-Seok;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2014.05a
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    • pp.172-173
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    • 2014
  • The study is used to verify the applicability of the sensor to monitor penetration of chloride into the concrete, like real coastal environment. After manufacturing the specimen adapt corrosion sensor for chloride penetration monitoring, chloride spray experiment was conducted. And then, It was checked the possibility of monitoring of the penetrated chloride by measuring the resistance of the corrosion sensor that was embedded in each depth of the concrete. Experimental results, it is confirmed that the corrosion resistance of the sensor was increased depending on the concentration of chloride. Therefore, it is estimated that the sensor is available for monitoring of chloride penetration.

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Development of Mirror-based touchless fingerprint sensor (거울을 이용한 비접촉식 지문 센서 개발)

  • Choi, Hee-Seung;Choi, Kyung-Taek;Kim, Jai-Hie
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.231-232
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    • 2007
  • This paper introduce a new touchless fingerprint sensor. Two mirrors are used to capture the side fingerprint images which cannot detectable using a single camera. We also propose the techniques which can solve the image contrast, nonuniform illumination, DOF(Depth of Field) problems. This new sensor leads to bringing new challenges in the field of fingerprint recognition.

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Depthmap Generation with Registration of LIDAR and Color Images with Different Field-of-View (다른 화각을 가진 라이다와 칼라 영상 정보의 정합 및 깊이맵 생성)

  • Choi, Jaehoon;Lee, Deokwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.28-34
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    • 2020
  • This paper proposes an approach to the fusion of two heterogeneous sensors with two different fields-of-view (FOV): LIDAR and an RGB camera. Registration between data captured by LIDAR and an RGB camera provided the fusion results. Registration was completed once a depthmap corresponding to a 2-dimensional RGB image was generated. For this fusion, RPLIDAR-A3 (manufactured by Slamtec) and a general digital camera were used to acquire depth and image data, respectively. LIDAR sensor provided distance information between the sensor and objects in a scene nearby the sensor, and an RGB camera provided a 2-dimensional image with color information. Fusion of 2D image and depth information enabled us to achieve better performance with applications of object detection and tracking. For instance, automatic driver assistance systems, robotics or other systems that require visual information processing might find the work in this paper useful. Since the LIDAR only provides depth value, processing and generation of a depthmap that corresponds to an RGB image is recommended. To validate the proposed approach, experimental results are provided.

Implementation of Human Positioning Monitoring Device for Underwater Safety (수중안전을 위한 인체 위치추적 모니터링 장치 구현)

  • Jong-Hwa Yoon;Dal-Hwan Yoon
    • Journal of IKEEE
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    • v.27 no.3
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    • pp.225-233
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    • 2023
  • This paper implements a system that monitors human body lifting information in the event of a marine accident. The monitoring system performs ultrasonic communication through a lifting device controller that transmits underwater environment information, and LoRa communication is performed on the water to provide GPS information within 10 km to the control center or mother ship. The underwater lifting controller transmits pneumatic sensor, gyro sensor, and temperature sensor information. In an environment where the underwater conditions increase by one atmosphere of water pressure every 10m in depth, and the amount of air in the instrument decreases by half compared to land, a model of a 60kg underwater mannequin is used. Using one 38g CO2 cartridge in the lifting appliance SMB(Surface Maker Buoy), carry out a lifting appliance discharge test based on the water level rise conditions within 10 sec. Underwater communication constitutes a data transmission environment using a 2,400-bps ultrasonic sensor from a depth of 40m to 100m. The monitoring signal aims to ensure the safety and safe human structure of the salvage worker by providing water depth, water temperature, and directional angle to rescue workers on the surface of the water.

Foreground Segmentation and High-Resolution Depth Map Generation Using a Time-of-Flight Depth Camera (깊이 카메라를 이용한 객체 분리 및 고해상도 깊이 맵 생성 방법)

  • Kang, Yun-Suk;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37C no.9
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    • pp.751-756
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    • 2012
  • In this paper, we propose a foreground extraction and depth map generation method using a time-of-flight (TOF) depth camera. Although, the TOF depth camera captures the scene's depth information in real-time, it has a built-in noise and distortion. Therefore, we perform several preprocessing steps such as image enhancement, segmentation, and 3D warping, and then use the TOF depth data to generate the depth-discontinuity regions. Then, we extract the foreground object and generate the depth map as of the color image. The experimental results show that the proposed method efficiently generates the depth map even for the object boundary and textureless regions.