Analyzing and identifying cracks is the most vital step in the construction process. The manual crack detection process will take longer and will be subjectively assessed by the inspectors. This research provides a conceptual base for the image processing methodology for the automated identification and examination of cracks. This model uses the Gray Intensity Correction Method ( i.e.) Min Max Gray Level Differentiation (M2GLD) for Image Improvement and the Otsu Image Binarization Process. The experimental result shows that the combination of the M2GLD method and the Otsu test will effectively detect crack defects in digital images. This model can therefore be a useful tool for building construction agencies and structural maintenance engineers.
For millenniums, the water cycle provides enough water for everyone on earth. Presently this entire cycle is severely affected by overpopulation and global warming. Due to poor rainfall, drought sets in, crops fail, adding to urban water problems, most of the harvested rainwater is used for agriculture, cleaning, cooling agent, flushing, etc. This project aims to promote personal involvement in water conservation by suggesting a rainwater conservancy system. Polypropylene based filter is used to filter the filtered water. The purity of water level is improved in a notable manner. Water can be saved by dams and canal which is expensive whereas at home it becomes free and cheap.
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