An increased area of focus in Microbiology is the automation of counting methods. These obstacles include: How to handle confluent growth or growth of colonies that touch or overlap other colonies, How to identify each colony as a unit in spite of differing shapes, sizes, textures, colors, light intensities, etc. Counting of bacterial colonies is complex task for microbiologist. Further in an Industry thousands of such samples are formed per day and colonies on each sample are counted manually, then this becomes a time consuming hectic and error prone job. We proposed a method to count these colonies to save time with accurate results and fast delivery to customers. This proposed research work will count the colonies after 6 to 8 hours priori, saving a lot more time and this work will more efficient because market range for this is about 10,000 only as compare to prior systems.
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