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In the recent automation process, the manufacturing automation innovation is being done by using vision technology that can make instant judgement. In this paper, a method of vision based angle estimation is presented. The central moment is calculated and the rotation angle is estimated by the angle with the principal axis. There is also a method of estimating the precision rotation angle using the...
It is difficult to apply object recognition technology to manufacturing industry because the intrinsic characteristics of an object is easily influenced by the surrounding environment such as lighting condition, background complexity and object shape. This paper proposes a precise object detection method for assembling components by more stable feature extraction. To accomplish it, two images are...
This paper proposes a method of vision based pose estimation of randomly piled objects. It is necessary to estimate precise rotation angle of picking objects. However, it is non-trivial task because an object placed in every position makes distorted image far from right position image. We propose a precise pose estimation method of bin picking objects. The landmark feature of a picking object is extracted...
For automation of part-packaging processes, the system should be able to perform certain functions for operating the applicable concurrent pickup of randomized parts stored in multiple containers. To achieve such operation, we present an effective vision based picking system for multiple concurrent tasks in small parts manufacturing sites. The proposed system detects target objects and analyzes whether...
Bin-picking technology using vision sensor for picking objects has studied intensively because it results in productivity improvement by applying automation process in industry fields. To obtain more accurate result of position detection and pose estimation of objects to be picked using robot system is not trivial task because of poor factors such as nonuniform lighting condition, occlusion, pose...
Age estimation from face images has attracted attention because it is expected to have many application fields and growing interest. Human age estimation is very difficult tasks because a person has a different in appearance, which varies along with environment even same age. And also, pose, lighting condition or expression has an effect to estimate human age. Age estimation has challenged due to...
In this paper, we present a postural analysis system for sailing user on dinghy yacht simulators. The proposed system detects the partitioned specific body parts of the user, extracts feature points of the body parts, and estimates posture information of the user based on the feature points. The extracted feature points are used as information for determining the position and posture of the sailing...
Objects with non-Lambertian reflecting surfaces suffer severe appearance changes according to the change of observer's angle of view. Thus it is difficult to obtain a consistent object model. This paper addresses the problem of bin picking for such objects without using explicit object models. Due to the above-mentioned reasons, traditional pattern matching approaches are difficult to apply. Furthermore,...
For the use of sports simulators, there is a need for the implementation of proper functions for the realistic movement mechanism, the relative riding content, and the effective personalized training. In this paper, we present a posture analysis system for a rider on a sports simulator. The proposed system provides a personalized postural training function suited to the user based on their logging...
Vision-based object recognition has been studied intensively because of many application fields, especially, manufacturing process in industrial robot application. But it has been challenged due to illumination effect, diverse material object, atypical shape object, etc. In this paper, multiple object recognition including complex shape object has been proposed. The object is consisted of variable...
In this paper, we present an interactive interface for a sports simulator to provide natural interoperation and customized functions suited to the user based on the identified user's logging and coaching data. The proposed system performs the control function between the user and sports simulator system. The system recommends a personalized exercise mode based on the user's historical information...
Small quantity batch production is a major trend in modem society and making the production line intelligent is a key for the purpose. Especially, the vision system should be able to be easily modified to recognize a variety of objects. In this paper, a novel vision system that can be trained to recognize completely new target object set of around 10 classes in an hour is proposed. An hour limitation...
This paper proposes user segmentation algorithm using moving edge detection to provide customized coaching service to users in advanced sports simulator like horse riding. To give this service in the simulator, exact user segmentation is very important. If the segmenting user from its background became better, we will get a better pose recognition results. In this paper, some of the well-known object...
We propose a user pose verification technique using depth information to compare their pose with expert riders. Xtion sensor by Asus is used for gathering a depth data in real world. The user pose verification algorithm is divided into two categories: user segmentation and user pose verification. In user segmentation step, body parts are segmented based on the region growing algorithm from a head...
IT technologies have started to be applied to many fields such as sports science, robotics or BT. Especially, object detection and recognition using vision sensor has intensively studied due to diverse application fields. But, various illumination condition, pose or time progress have put object detection and recognition to challenge task in the real world. In this paper, face detection and recognition...
The development of cell manufacturing process using object recognition has been interested in automated factory. But it is not trivial work to recognize object because features transformed from illumination and diversified field needs have caused challenge problem in object detection and recognition. The recognition reliability in real world environment can be increased by object, which preserves...
The vision-based bin picking using object recognition has been considered as an innovative manufacturing process in industrial robotics applications. In bin picking system, pick and place tasks are performed by robot which has been processed by measuring object pose. But it has to address challenge problems such as object appearance distorted by overlapping parts, lighting variation or reflection,...
This paper describes a new robot photographer system which can interact with people. The goal of this research is to make the system act like a human photographer. This system is based on a mobile robot having capabilities of wireless communication and stereo vision. It recognizes waving hands of people, moves toward them, and takes pictures with designated compositions. The pictures are transmitted...
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