Abstract
There are many occasions, a few people may die because of lack of efficient resources, lack of technology, and dependent more on human efforts when painting for high buildings and high temple arches. Whenever the high buildings and temples arches need to be coloring, they consume more time and a greater number of labor to complete it. The finishing of the given task depends on many external factors. To be independent of many external factors, a smart drone with loaded colors is assigned and loads the texture that is expected as output. As the intelligence is loaded to the drone as well as the specific sensors are embedded to it in order to notify the information about the color’s deficiency is detected, any resource to be required to complete the given task according to the given texture, any accidental collisions also notified and be a safeguard, and etc. The output of this study is an array that allows analysis on how many are identical textures, coloring were processed done using SSIM measure. The major advantages are manpower is becoming almost NIL while been painting; the time consumed for the task given is to be completed in less time. The accuracies and their performances are measured and are depicted in the results when comparing this approach against the traditional and semi-automated approaches.
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Vidyullatha, P., Raju, S.H., Vignesh, N.A., Babu, P.H., Madhubabu, K. (2023). Smart Intelligent Drone for Painting Using IoT: An Automated Approach for Efficient Painting. In: Dutta, P., Bhattacharya, A., Dutta, S., Lai, WC. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1348. Springer, Singapore. https://doi.org/10.1007/978-981-19-4676-9_11
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