Grasping the object is the basic task that should be fulfilled for theindustrial robot working on the product line. Currently, the most commonwork pattern of the robot is the teach-play mode. However, there are manydrawbacks of the method, such as the complexity of the teach-play modeprocess, highly structural work environments requirement and hystereticnature of response
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Object tracking is one of the most important branches in the computer vision field. It is used to analyze and manage video sequences to obtain the accurate orientations of moving objects based on their characteristics. It provides useful information and technical support for research and applications, and is widely used in automatic surveillance, human-machine interface,
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With further reform of electric power system and introduction of competition mechanism,higher operation efficiency and agility is required by power market,which makes electrical power enterprises have a information platform that can deal with amount of sea data effectively,quickly and adequately,knowledge of integration and management based on this platform.However, electrical power enterprises installed and developed different
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Wireless sensor network localization technology has been greatly concerned with researchers in recently years.After description and analysis of existing wireless sensor network localization algorithm,introduce the mobile agent technology into wireless sensor network localization algorithm which using the advantages of mobile agents to alleviate the cost of wireless sensor network nodes,nodes with limited hardware resources,both data
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Since the 1980s,with the rapid development of digital image processing and higher requirement of product quality,conventional manual work can’t achieve satisfying detection result for many reasons. so that people pay more attention to detection technology based on machine vision .This paper studies some key technologies on surface detection of workpiece, implement the correlative arithmetics based
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Vision technology of mobile robot is one of the hot topics in robot field recently. Just like human beings, for the mobile robot, vision is considered as one of the most important ways to get the information of surroundings. With the fast development of computer and electronic technology, the binocular stereovision could meet the requirement
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