At present, warehouse construction industry makes large vertical stores over small areas causing vertical designs of vehicles and structures. In this situation, the floor must have constant levelness and high flatness in order to achieve the nominal performance of the very narrow aisle lift trucks. With this in mind, in this paper we present a novel system for levelness and flatness measurement based on big surfaces shape measurement. The system has linear and angular optical measurement devices on a mobile robot with automatic drive based on an embedded microcontroller. Readings from the robot are sent to a host computer by means of a radio frequency link for future analysis of level and flatness in agreement with the E1155-87 ASM standard. In addition, this work presents a PC program that receives data from the robot and then sends the data dynamically to a spreadsheet. The complete travel of the vehicle over the measurement area can be made with high degree of automation, reporting remarkable advantages compared to those of a manual process.
microscope 0 Optical E D interface -0 Reference camera and -USB L u --0 encoder ISAAbstract -In the geometrical metrology field, calibration of graduated scaies is performed by comparison of the scale under inspection against a length standard at specific intervals. The procedure can take a long time due to the human intervention as a part of an observation process at each measurement interval. For example, the calibration o f a scale of l m can be divided in intervals of lcm, which results in a process with around 100 measurements. This paper describes a fully automated measurement instrument used in the calibration of graduated scales. The instrument avoids the human intervention by means of computer vision hardware and software and automated control. The measurement acquisition is done in known length intervals by the accurate positioning of an observation device and then applying computer vision techniques in order to recognize the magnitude in the scale. The measurements are compared against those reported by the length standard to complete a caIibration chart. The system described here improves the overall performance in relation to the manual method.
Abstract. Computer vision systems are playing an important role in 3D measurement for industrial applications. Real time image processing algorithms are useful in order to achieve reliability in feature extraction from the global environment starting from planar images. For example, in a structured light vision system is essential to extract the pattern that a laser source is shaping with the objects under inspection. In this sense, this work describes a single strip image extraction algorithm that could be used as an analysis tool in those structured light systems. The experimental setup is implemented using the following equipment: A PC equipped with a frame grabber, a high-resolution CCD camera, a laser stripe projector and specific software developed using Visual C++6. The system accomplishes with real time operation and high subpixel accuracy.
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