• Title/Summary/Keyword: 3-D Scanner

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Customization using Anthropometric Data Deep Learning Model-Based Beauty Service System

  • Wu, Zhenzhen;Lim, Byeongyeon;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • v.19 no.2
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    • pp.73-78
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    • 2021
  • As interest in beauty has increased, various studies have been conducted, and related companies have considered the anthropometric data handled between humans and interfaces as an important factor. However, owing to the nature of 3D human body scanners used to extract anthropometric data, it is difficult to accurately analyze a user's body shape until a service is provided because the user only scans and extracts data. To solve this problem, the body shape of several users was analyzed, and the collected anthropometric data were obtained using a 3D human body scanner. After processing the extracted data and the anthropometric data, a custom deep learning model was designed, the designed model was learned, and the user's body shape information was predicted to provide a service suitable for the body shape. Through this approach, it is expected that the user's body shape information can be predicted using a 3D human body scanner, based upon which a beauty service can be provide.

Applications of Optical Imaging System in Dentistry

  • Eom, Joo Beom;Park, Anjin
    • Medical Lasers
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    • v.9 no.1
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    • pp.25-33
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    • 2020
  • Optical-based imaging technology has high resolution and can assess images in real time. Numerous studies have been conducted for its application in the dental field. The current research introduces an oral camera that includes fluorescent imaging, a second study examining a 3D intraoral scanner applying a confocal method and a polarization structure that identifies the 3D image of a tooth, and finally, an optical coherence tomography technique. Using this technique, we introduce a new concept 3D oral scanner that simultaneously implements 3D structural imaging as well as images that diagnose the inside of teeth. With the development of light source technology and detector technology, various optical-based imaging technologies are expected to be applied in dentistry.

A Study on Intelligent Robot Bin-Picking System with CCD Camera and Laser Sensor (CCD카메라와 레이저 센서를 조합한 지능형 로봇 빈-피킹에 관한 연구)

  • Kim, Jin-Dae;Lee, Jeh-Won;Shin, Chan-Bai
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.11 s.188
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    • pp.58-67
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    • 2006
  • Due to the variety of signal processing and complicated mathematical analysis, it is not easy to accomplish 3D bin-picking with non-contact sensor. To solve this difficulties the reliable signal processing algorithm and a good sensing device has been recommended. In this research, 3D laser scanner and CCD camera is applied as a sensing device respectively. With these sensor we develop a two-step bin-picking method and reliable algorithm for the recognition of 3D bin object. In the proposed bin-picking, the problem is reduced to 2D intial recognition with CCD camera at first, and then 3D pose detection with a laser scanner. To get a good movement in the robot base frame, the hand eye calibration between robot's end effector and sensing device should be also carried out. In this paper, we examine auto-calibration technique in the sensor calibration step. A new thinning algorithm and constrained hough transform is also studied for the robustness in the real environment usage. From the experimental results, we could see the robust bin-picking operation under the non-aligned 3D hole object.

A Study on the Development of the 3-D Seamier for Shoe Roughing (신발 러핑 경로 생성을 위한 3차원 스캐너 개발에 관한 연구)

  • 강동배;손성민;김화영;안중환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.396-399
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    • 2002
  • A roughing process is the one of most important shoe manufacturing processes. Especially, it is indispensable to manufacture the leather shoes such as dress shoes, safety shoes, golf shoes, etc. The roughing process relies greatly on the operator's skill and experience. Therefore, the automation of roughing process is necessary to establish the improvement of productivity. We are trying to develop the Automatic Roughing Machine controlled by NC. As pre-study to do this, we need to measure the roughing path for NC, because there is no study on this pan and no reference about this. In this study, we proposed the 3-Dimensional Scanner System to measure the roughing path with new concept. The developed 3-D scanner System generates the roughing path using the 3 images obtained from 3 CCD cameras. The experimental results show that the proposed system can measure accurately the roughing path.

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3D Printing Characteristics of Automotive Hub using 3D Scanner and Reverse Engineering (3D 스캐너와 역설계를 활용한 자동차용 허브의 프린팅 특성)

  • Kim, Hae-Ji
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.10
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    • pp.104-109
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    • 2019
  • Reverse engineering techniques using 3D scanners and 3D printing technologies are being used in various industries. In this paper, the three-dimensional model is designed for automotive hub parts through 3D scanning and reverse engineering, and the design of hub parts is intended to be printed on FDM-style 3D printers to measure and analyze the dimensions of hub parts designed for reverse design and 3D printed hub parts. Experimental result have shown that the dimensions of 3D printed hub parts are small compared to those of the reverse-engineered dimensions, which are due to the shrinkage of filament materials in 3D printing.

Real-time Tooth Region Detection in Intraoral Scanner Images with Deep Learning (딥러닝을 이용한 구강 스캐너 이미지 내 치아 영역 실시간 검출)

  • Na-Yun, Park;Ji-Hoon Kim;Tae-Min Kim;Kyeong-Jin Song;Yu-Jin Byun;Min-Ju Kang․;Kyungkoo Jun;Jae-Gon Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.1-6
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    • 2023
  • In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

Development of Smart Tape Attachment Robot in the Cold Rolled Coil with 3D Non-Contact Recognition (3D 비접촉 인식을 이용한 냉연코일 테이프부착 로봇 개발)

  • Shin, Chan-Bai;Kim, Jin-Dae
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.11
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    • pp.1122-1129
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    • 2009
  • Recently taping robot with smart recognition function have been studied in the coil manufacturing field. Due to the difficulty of 3D surface processing from the complicated working environment, it is not easy to accomplish smart tape attachment motion with non-contact sensor. To solve these problems the applicable surface recognition algorithm and a flexible sensing device has been recommended. In this research, the fusion method between 1D displacement and 3D laser scanner is applied for robust tape attachment about cold rolled coil. With these sensors we develop a two-step exploration and the smart algorithm for the awareness of non-aligned coil's information. In the proposed robot system for tape attachment, the problem is reduced to coil's radius searching with laser displacement sensor at first, and then position and orientation detection with 3D laser scanner. To get the movement at the robot's base frame, the hand-eye compensation between robot's end effector and sensing device should be also carried out respectively. In this paper, we examine the auto-coordinate transformation method in the calibration step for the real environment usage. From the experimental results, it was shown that the taping motion of robot had a robust under the non-aligned cold rolled coil.

Profile Error Measurement of a Turbine Blade Using a Contact Type 3D-Scanner (접촉식 3차원 형상스캐너를 이용한 터빈 블레이드의 형상 정밀도 측정)

  • Kang, Byung-Su;Kang, Jae-Gwan
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.6
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    • pp.76-81
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    • 2006
  • In this paper, profile error measurement method of a turbine blade using 3D-scanner is developed. The method begins with scanning the upper and lower sides of the blade on which three small balls are attached, and constructs a solid measurement model by registering the two scanned surfaces. Airfoils are derived from the model at each interval by intersecting it with a plane, and arranged with design airfoils. The $2^2$ factorial design search method is engaged in arranging the two airfoils, from which the main blade parameters including the edge radius are computed. The developed measurement technique is applied to practical blade manufacturing and validates its effectiveness.

Map Building Based on Sensor Fusion for Autonomous Vehicle (자율주행을 위한 센서 데이터 융합 기반의 맵 생성)

  • Kang, Minsung;Hur, Soojung;Park, Ikhyun;Park, Yongwan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.6
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    • pp.14-22
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    • 2014
  • An autonomous vehicle requires a technology of generating maps by recognizing surrounding environment. The recognition of the vehicle's environment can be achieved by using distance information from a 2D laser scanner and color information from a camera. Such sensor information is used to generate 2D or 3D maps. A 2D map is used mostly for generating routs, because it contains information only about a section. In contrast, a 3D map involves height values also, and therefore can be used not only for generating routs but also for finding out vehicle accessible space. Nevertheless, an autonomous vehicle using 3D maps has difficulty in recognizing environment in real time. Accordingly, this paper proposes the technology for generating 2D maps that guarantee real-time recognition. The proposed technology uses only the color information obtained by removing height values from 3D maps generated based on the fusion of 2D laser scanner and camera data.

Dimensional Characteristics of Hydraulic Actuator Curve based on 3D Printing Filament Materials (3D 프린팅 필라멘트 재료에 따른 유압액츄에이터 커브의 치수 특성)

  • Jung, Myung-Hwi;Kong, Jeong-Ri;Kim, Hae-Ji
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.1
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    • pp.74-79
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    • 2021
  • In this paper, the 3D shape of a hydraulic actuator cover was 3D printed by applying two materials, namely PLA and ABS. Subsequently, the printed shape was scanned to analyze the material properties, dimensional change characteristics, dimensions, and scan shape as a real model. To compare and analyze material-specific 3D printing dimensions, a non-contact mobile laser scanner was used to scan a portion of the printed hydraulic actuator cover and the final alignment shape of the 3D printed part was studied on the basis of the design model.