• Title/Summary/Keyword: Vision-based

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Vision-Based Collision-Free Formation Control of Multi-UGVs using a Camera on UAV (무인비행로봇에 장착된 카메라를 이용한 다중 무인지상로봇의 충돌 없는 대형 제어기법)

  • Choi, Francis Byonghwa;Ha, Changsu;Lee, Dongjun
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.1
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    • pp.53-58
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    • 2013
  • In this paper, we present a framework for collision avoidance of UGVs by vision-based control. On the image plane which is created by perspective camera rigidly attached to UAV hovering stationarily, image features of UGVs are to be controlled by our control framework so that they proceed to desired locations while avoiding collision. UGVs are assumed as unicycle wheeled mobile robots with nonholonomic constraint and they follow the image feature's movement on the ground plane with low-level controller. We used potential function method to guarantee collision prevention, and showed its stability. Simulation results are presented to validate capability and stability of the proposed framework.

Inspection Algorithm for Screw Head Forming Punch Using Based on Machine Vision (머신비전을 이용한 나사 머리 성형 펀치의 검사 알고리즘)

  • Jeong, Ku Hyeon;Chung, Seong Youb
    • Journal of Institute of Convergence Technology
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    • v.3 no.2
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    • pp.31-37
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    • 2013
  • This paper proposes a vision-based inspection algorithm for a punch which is used when forming the head of the small screws. To maintain good quality of punch, the precise inspection of its dimension and the depth of the punch head is important. A CCD camera and an illumination dome light are used to measure its dimensions. And a structured line laser is also used to measure the depth of the punch head. Resolution and visible area depend on setup between laser and camera which is determined using CAD-based simulation. The proposed method is successfully evaluated using experiment on #2 punch.

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A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos

  • Sanchez, Gustavo Adrian Ruiz
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.67-72
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    • 2019
  • This paper proposes a computer vision-based banknote recognition system intended to assist the blind. This system is robust and fast in recognizing banknotes on videos recorded with a smartphone on real-life scenarios. To reduce the computation time and enable a robust recognition in cluttered environments, this study segments the banknote candidate area from the background utilizing a technique called Pixel-Based Adaptive Segmenter (PBAS). The Speeded-Up Robust Features (SURF) interest point detector is used, and SURF feature vectors are computed only when sufficient interest points are found. The proposed algorithm achieves a recognition accuracy of 98%, a 100% true recognition rate and a 0% false recognition rate. Although Korean banknotes are used as a working example, the proposed system can be applied to recognize other countries' banknotes.

Multi-Vision-based Inspection of Mask Ear Loops Attachment in Mask Production Lines (마스크 생산 라인에서 다중 영상 기반 마스크 이어링 검사 방법)

  • JiMyeong, Woo;SangHyeon, Lee;Heoncheol, Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.6
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    • pp.337-346
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    • 2022
  • This paper addresses the problem of vision-based ear loops ansd attachment inspection in mask production lines. This paper focuses on connections with ear loops and mask filter by an efficient combined approach. The proposed method used a template matching, shape detection and summation of histogram with preprocessing. We had a parameter for detecting defects heuristically. If the shape vertices are lower than the parameters our proposed method will find defective mask automatically. After finding normal masks in mask ear loops attachment status inspection algorithm our proposed method conducts attachment amount inspection. Our experimental results showed that the precision is 1 and the recall is 0.99 in the mask attachment status inspection and attachment amount inspection.

A Study of Object Recognition for the Efficient Management of Construction Equipment

  • Hyeok-Jun Ryu;Suk-Won Lee;Ju-Hyung Kim;Jae-Jun Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.587-591
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    • 2013
  • Measuring the process of construction operations for productivity improvement remains a difficult task for most construction companies due to the manual effort required in most activity measurement methods. There are many ways to measuring the process. But past measurement methods was inefficient. Because they needed a lot of manpower and time. So, this article focus on the vision-based object recognition and tracking methods for automated construction. These methods have the advantage of efficient that human intervention was reduced. Therefore, this article is analyzed the performance of vision-based methods in the construction sites and is expected to contribute to selection of vision-based methods.

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Computer Simulation for Gradual Yellowing of Aged Lens and Its Application for Test Devices

  • Kim, Bog G.;Han, Jeong-Won;Park, Soo-Been
    • Journal of the Optical Society of Korea
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    • v.17 no.4
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    • pp.344-349
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    • 2013
  • This paper proposes a simulation algorithm to assess the gradual yellowing vision of the elderly, which refers to the predominance of yellowness in their vision due to aging of the ocular optic media. This algorithm employed the spectral transmittance property of a yellow filter to represent the color appearance perceived by elderly people with yellow vision, and modeled the changes in the color space through a spectrum change in light using the yellow filter effect. The spectral reflectivity data of 1269 Munsell matte color chips were used as reference data. Under the standard conditions of a D65 illuminant and a $10^{\circ}$ observer of 1964 CIE, the spectrum of the 1269 Munsell colors were processed through the yellow filter effect to simulate yellow vision. Various degrees of yellow vision were modeled according to the transmittance percentage of the yellow filter. The color differences before and after the yellow filter effect were calculated using the DE2000 formula, and the color pairs were selected based on the color difference function. These color pairs are distinguishable through normal vision, but the color difference diminishes as the degree of yellow vision increases. Assuming 80% of yellow vision effect, 17 color pairs out of $(1269{\times}1268)/2$ pairs were selected, and for the 90% of yellow vision effect, only 3 color pairs were selected. The result of this study can be utilized for the diagnosis system of gradual yellow vision, making various types of test charts with selected color pairs.

Perceptual Quality-based Video Coding with Foveated Contrast Sensitivity (Foveated Contrast Sensitivity를 이용한 인지품질 기반 비디오 코딩)

  • Ryu, Jiwoo;Sim, Donggyu
    • Journal of Broadcast Engineering
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    • v.19 no.4
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    • pp.468-477
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    • 2014
  • This paper proposes a novel perceptual quality-based (PQ-based) video coding method with foveated contrast sensitivity (FCS). Conventional methods on PQ-based video coding with FCS achieve minimum loss on perceptual quality of compressed video by exploiting the property of human visual system (HVS), that is, its sensitivity differs by the spatial frequency of visual stimuli. On the other hand, PQ-based video coding with foveated masking (FM) exploits the difference of the sensitivity of the HVS between the central vision and the peripheral vision. In this study, a novel FCS model is proposed which considers both the conventional DCT-based JND model and the FM model. Psychological study is conducted to construct the proposed FCS model, and the proposed model is applied to PQ-based video coding algorithm implemented on HM10.0 reference software. Experimental results show that the proposed method decreases bitrate by the average of 10% without loss on the perceptual quality.

3D Vision Inspection Algorithm Using the Geometrical Pattern Matching (기하학적 패턴 매칭을 이용한 3차원 비전 검사 알고리즘)

  • 정철진;허경무
    • Proceedings of the IEEK Conference
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    • 2003.07c
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    • pp.2533-2536
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    • 2003
  • In this paper, we suggest the 3D Vision Inspection Algorithm which is based on the external shape feature, and is able to recognize the object. Because many objects made by human have the regular shape, if we posses the database of pattern and we recognize the object using the database of the object's pattern, we could inspect the objects of many fields. Thus, this paper suggest the 3D Vision inspection Algorithm using the Geometrical Pattern Matching by making the 3D database.

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A Study on the Present Condition of the Coffee and Vision of 21C in Korea (한국 커피시장 현황과 21세기의 비전)

  • 진양호
    • Culinary science and hospitality research
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    • v.5 no.2
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    • pp.5-28
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    • 1999
  • The main propose of this study was to present condition of the Coffee and Vision of 21C in Korea. To achieve the propose of this study, Theoretical and empirical approaches were used. In review of theoretical background, basic concepts and characteristics of Coffee. Based on the theoretical studies and previous studies, vision of 21C in Korea. First, we'll have to a national enterprise of coffee. Second, Instant coffee was export to china and east asia in 21C. Third, our Coffee culture was diversity, so wording is more easy. Fourth, coffee meeting will prosper

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