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This processing is implemented via edge computing, utilizing a Raspberry Pi and OpenCV libraries. The technique, as proposed, can differentiate involving pedestrians and automobiles based on the measured area. In the proposed circumstance of the highway, lamps are switched on in the route of detected cars, however the paper will not specify the amo
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shapes demanding a separate chance scale for every unique shape. This distribution has discovered vast use in modelling flooddominated via the Adiyan watershed, sort the principal level for The situation with the h2o stage measurements i.e. the Adiyanhydrologic zones differentiated by drainage characteristics and elevation. The westward facet in th
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