Person:
Lee, Kok-Meng

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https://hdl.handle.net/1853/71450
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Start date: 1991 × End date: 1999 ×

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Now showing 1 - 5 of 5
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    Modeling of the Natural Product Deboning Process Using Biological and Human Models
    (Georgia Institute of Technology, 1999-09) Daley, Wayne ; He, Tian ; Lee, Kok-Meng ; Sandlin, Melissa
    One critical area in automation for commercial deboning systems for meat processing, is the inability of existing equipment to adapt to varying sizes and shapes of products. This usually results in less than desirable outcomes when measured in terms of yield of the operations. In poultry processing for example, the initial cut of wing-shoulder joints is the most critical step in the deboning process. Two approaches for determining a trajectory for the cut is presented. The first is a technique using x-ray and visual images to obtain a 2-D model that locates the shoulder joint with respect to the surface features of the product. The second approach is obtained by determining a 3-D cutting trajectory and the associated forces/torques using a motion analysis system and a force/torque sensor incorporated with a knife. We then discuss the potential application of these results in the design of an automated cutting system that uses the obtained trajectory as a nominal cutting path. The system would make'adjustments during the cut using force feedback so as to emulate the manual cutting process.
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    Intelligent automated transfer of live birds to shackle line
    (Georgia Institute of Technology, 1998) Lee, Kok-Meng
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    Presidential young investigator award : high performance precision motion control
    (Georgia Institute of Technology, 1994-07) Lee, Kok-Meng
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    Physically Accurate Synthetic Images for Computer Vision System Design
    (Georgia Institute of Technology, 1991) Rushmeier, Holly E. ; Parker, Johne' Michelle ; Lee, Kok-Meng
    The design of a computer vision system for part presentation is a complex hardware/software problem. In the past, standard renderings of parts available from CAD systems have been used as aids in the design process. However, such standard renderings are very limited because of the simple illumination models they employ. We present preliminary results of a study of the utility of physically accurate synthetic images in the design of vision systems. Physically accurate images can potentially be used both for the hardware lighting and sensing design, as well as for template design for model-based matching for part location. We describe how state-of-the-art computer graphics global illumination algorithms can be used to generate images for the vision problem. We present a comparison of a variety of synthetic images to images captured using the GRIPPS retroreflective vision system under development at Georgia Tech.
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    Development of a spherical stepper wrist motor
    (Georgia Institute of Technology, 1991) Lee, Kok-Meng