• Journal of information and communication convergence engineering
• /
• 제21권3호
• /
• pp.252-260
• /
• 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%.

• 반도체디스플레이기술학회지
• /
• 제17권2호
• /
• pp.67-70
• /
• 2018

Object detection and tracking is an exciting and interesting research area in the field of computer vision, and its technologies have been widely used in various application systems such as surveillance, military, and augmented reality. This paper proposes and implements a novel and more robust object recognition and tracking system to localize and track multiple objects from input images, which estimates target state using the likelihoods obtained from multiple CNNs. As the experimental result, the proposed algorithm is effective to handle multi-modal target appearances and other exceptions.

• 한국생산제조학회지
• /
• 제26권1호
• /
• pp.20-29
• /
• 2017

Motion synchronization between developed real and virtual robots for object recognition and target tracking is introduced. ASUS's XTION PRO Live is implemented as a sensor and configured to recognize walls and obstacles, and perceive objects. In order to create virtual reality, Unity 3D is adopted to be associated with the real robot, and the virtual object is controlled by using an input device. A Bluetooth serial communication module is used for wireless communication between the PC and the real robot. The motion information of a virtual object controlled by the user is sent to the robot. Then, the robot moves in the same way as the virtual object according to the motion information. Through motion synchronization, two scenarios, which map the real space and current object information with virtual objects and space, were demonstrated, yielding good agreement between the two spaces.

• 반도체디스플레이기술학회지
• /
• 제14권3호
• /
• pp.73-77
• /
• 2015

This paper proposes an object tracking system according to reliability assessment of learning in mobile environments. The proposed system is based on markerless tracking, and there are four modules which are recognition, tracking, detecting and learning module. Recognition module detects and identifies an object to be matched on current frame correspond to the database using LSH through SURF, and then this module generates a standard object information that has the best reliability of learning. The standard object information is used for evaluating and learning the object that is successful tracking in tracking module. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. The experimental results show that the proposed system is able to recognize and track the reliable objects with reliability assessment of learning for the use of mobile platform.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2002년도 춘계학술대회 논문집
• /
• pp.522-529
• /
• 2002

In this Paper, it has a proposal of the RFID(RFID : Radio Frequency Identification) system for high-speed recognition between the tag attached a mobile object moving high-speed and the static reader. It used 13.56MHz frequency at ISM band, and designed a reader in order to recognize a mobile object moving high-speed. It will be expected that RFID system enables a smooth railway signal control applying in railway system through the cyclic loop antenna.

• 로봇학회논문지
• /
• 제16권3호
• /
• pp.270-275
• /
• 2021

Most of the initial forms of cooperative robots were intended to repeat simple tasks in a given space. So, they showed no significant difference from industrial robots. However, research for improving worker's productivity and supplementing human's limited working hours is expanding. Also, there have been active attempts to use it as a service robot by applying AI technology. In line with these social changes, we produced a mobile manipulator that can improve the worker's efficiency and completely replace one person. First, we combined cooperative robot with mobile robot. Second, we applied speech recognition technology and deep learning based object detection. Finally, we integrated all the systems by ROS (robot operating system). This system can communicate with workers by voice and drive autonomously and perform the Pick & Place task.

• 한국콘텐츠학회논문지
• /
• 제12권11호
• /
• pp.1-8
• /
• 2012

최근 산업 현장에서 자동화 시스템 도입에 대한 필요성 증가로 인하여 물체 인식에 대한 기술의 활용도가 점차 증가되고 있다. 그러나, 실제 현장에서 조명의 영향은 물체 주변에 잡음이나 그림자를 발생시켜 물체 영역을 정확히 검출하거나 인식하는 것을 어렵게 만든다. 본 논문에서는 조명 영향으로 나타나는 잡음이나 그림자 효과를 최소화하기 위하여 영상 필터와 적응적 이진화 방법을 이용하여 물체의 형태 정보가 보존된 물체 영역을 검출하도록 하였다. 또한, 인식 대상 물체의 종류와 회전각에 따라 물체 고유 클래스를 정의한 다음 신경망을 이용하여 물체를 인식함으로써 회전에 강인한 물체 인식을 할 수 있도록 하였다. 제안된 물체 인식 방법에 대한 타당성을 검증하기 위하여 조명 조건을 달리하면서 획득한 ETRI 데이터베이스 16,848장을 대상으로 인식 실험해 본 결과 99.86%의 물체 인식률 및 0.03초의 인식 속도를 얻을 수 있었다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 1998년도 하계종합학술대회논문집
• /
• pp.271-274
• /
• 1998

Ultrasonic sensors are becoming indispensable components in every sector of automation equipments due to many advantages. But the main purposes of the noncontact sensing device are rather narrowly confined within object detection and distance measurement. To widen the realm of the applications to object recognition, ultrasonic sensors need to improve the recognition resolution to a certain amount. To resolve the problem of spatial resolution restriction, an increased number of the sensors in the forms of a linear array or 2-dimensional array of the sensor has been used. Also better resolution has been obtained by shifting the array in several steps using mechanical actuators. For an object recognition using ultrasonic sensors, measurements of distance, shift, oblique angle in certain ranges should be obtained. But a little attention has been paid to the measurement of angles. In this paper we propose a practical method for an object angular value detection in addition to distance measurement in ultrasonic sensor array system with little additional hardware burden. Using the established measurement look-up table for the variations of distance, shift, angle and transmitter voltages for each sensor characteristics, a set of different return echo signals for adjacent receivers are processed to provide enhanced angular value reading for an object.

• 한국정보전자통신기술학회논문지
• /
• 제2권1호
• /
• pp.23-28
• /
• 2009

히스토그램에 의한 객체 유형 인식 방법은 최근 들어 많은 연구가 이루어지고 있다. 그러나 대부분의 히스토그램 기반의 객체 추적이 칼라 모델을 사용하여 견실성을 개선하였지만 아직 충분히 견실하다고 할 수 없다. 이러한 단점을 보안하기 위하여 본 논문에서는 연속적인 프레임에서 히스토그램을 이용하여 객체를 표현하고 추적하는 방법을 제시하고자 한다. 자동차를 대상으로 실험한 결과 80m 거리 이내에서 신뢰성 있는 방법임을 확인하였다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
• /
• pp.428-432
• /
• 1988

In this study, some issues on 3- dimentional object recognition and pose determination are discussed. The method employs a laser projector which projects a cyliderical light beam on the object plane where it produces a bright ring pattern. The picture is then taken by a T.V camera. The ring pattern is mathmetically the ellipse of which the geometrical parameters have the 3-dimentional feature of the object plane. This paper gives the mathematical aspects of 3-dimentional recognition method and shows experimentally the variations of ellipse parameters as the spatial deviation of the plane object.