• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.652-658
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• 2019

When IoT is applied to various research experiment fields such as physics, pharmacy, biology and medicine, it can increase the safety and convenience of researchers by intelligently monitoring and controlling research equipment and environment with various sensors and devices. For accurate and convenient record management and the research history and the basis but also for the reverse tracking, real-time reagent measurement and registration should be provided as a research support automation services. Currently, existing methods of reagent management are operated by computerized method, but reagent registration and management are not automated. And also record is managed manually, there are many hassles and problems such as a record error and too much time required for quantification and registration for many reagents. In this paper, we study a real time reagent measuring and registration method based on IoT to resolve the problems aforementioned, by the information of the reagent acquired by image recognition and NFC method.

• Journal of Korea Multimedia Society
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• v.14 no.3
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• pp.368-377
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• 2011

This paper explains the hardware structure of SURF(Speeded Up Robust Feature) based feature point extractor and its FPGA verification result. SURF algorithm produces novel scale- and rotation-invariant feature point and descriptor which can be used for object recognition, creation of panorama image, 3D Image restoration. But the feature point extraction processing takes approximately 7,200msec for VGA-resolution in embedded environment using ARM11(667Mhz) processor and 128Mbytes DDR memory, hence its real-time operation is not guaranteed. We analyzed integral image memory access pattern which is a key component of SURF algorithm to reduce memory access and memory usage to operate in c real-time. We assure feature extraction that using a Vertex-5 FPGA gives 60frame/sec of VGA image at 100Mhz.