• 제목/요약/키워드: Unique marker laser

검색결과 2건 처리시간 0.02초

The Bullet Launcher with A Pneumatic System to Detect Objects by Unique Markers

  • Jasmine Aulia;Zahrah Radila;Zaenal Afif Azhary;Aulia M. T. Nasution;Detak Yan Pratama;Katherin Indriawati;Iyon Titok Sugiarto;Wildan Panji Tresna
    • Journal of information and communication convergence engineering
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    • 제21권3호
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    • pp.252-260
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    • 2023
  • A bullet launcher can be developed as a smart instrument, especially for use in the military section, that can track, identify, detect, mark, lock, and shoot a target by implementing an image-processing system. In this research, the application of object recognition system, laser encoding as a unique marker, 2-dimensional movement, and pneumatic as a shooter has been studied intensively. The results showed that object recognition system could detect various colors, patterns, sizes, and laser blinking. Measuring the average error value of the object distance by using the camera is ±4, ±5, and ±6% for circle, square and triangle form respectively. Meanwhile, the average accuracy of shots on objects is 95.24% and 85.71% in indoor and outdoor conditions respectively. Here, the average prototype response time is 1.11 s. Moreover, the highest accuracy rate of shooting results at 50 cm was obtained 98.32%.

엘보 인식에 의한 배관로봇의 실시간 위치 추정 및 후처리 위치 측정 알고리즘 (A Real-time and Off-line Localization Algorithm for an Inpipe Robot by Detecting Elbows)

  • 이채혁;김광호;김재준;김병수;이순걸
    • 제어로봇시스템학회논문지
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    • 제20권10호
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    • pp.1044-1050
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    • 2014
  • Robots used for pipe inspection have been studied for a long time and many mobile mechanisms have been proposed to achieve inspection tasks within pipelines. Localization is an important factor for an inpipe robot to perform successful autonomous operation. However, sensors such as GPS and beacons cannot be used because of the unique characteristics of inpipe conditions. In this paper, an inpipe localization algorithm based on elbow detection is presented. By processing the projected marker images of laser pointers and the attitude and heading data from an IMU, the odometer module of the robot determines whether the robot is within a straight pipe or an elbow and minimizes the integration error in the orientation. In addition, an off-line positioning algorithm has been performed with forward and backward estimation and Procrustes analysis. The experimental environment has consisted of several straight pipes and elbows, and a map of the pipeline has been constructed as the result.