Abstract
Automation is the Trend of Industrial 4.0 for rational process and prevent fraudulent activities. It is the simplification of human task assigned to machine and also brings the transparency in the system so that any fraudulent that causes human health and wealth can be traced and eliminated. The present work focusing on ca liberation correction as Milk is collected at procurement centers on a weight basis, using the Non-Automatic Weighing Instrument (NAWI) of Class III - Medium Accuracy Weighing Instruments. The specification of the gravity of milk as per standards and actual have a discrepancy which is causing the losses for the milk farmers and seriously affecting their economy with general NAWI system used for the process. In corp orating the AI based techniques on cloud based collected information storage to bring the automation methods for integrating all dairy form in a place to standardise the system and eliminate the discrepancy in calculation. Daily the farmers sell lakhs of Milk to the Milk purchasing units. The densities of the Milk brought by farmers are noted, and the data is stored in the cloud system for calibration verification through AI methods. The daily transactions are recorded stored in meta file. The cloud data of transaction in purchasing of Milk (with the incorrect calibration of the Weighing Instrument put to use by the officials) can be arrived at precisely with the help of computational methods using ML and DL techniques. These methods will be useful for the farmers at large to find out the loss precisely and the gain to the purchaser. Integration of existing legacy method with proposed automation procedures of AI and ML/DL method is main focus of this work to bring fraud free environment in metro-logical system.
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The authors are acknowledging the milk purchasing centers and Both Telangana and Andra Pradesh state Legal Metro logy department for information and collaborative contributions.
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Molakatala, N. et al. (2023). Automation of Calibration Procedure for Milk Non Automatic Weighing Instrument (NAWI) Process Using AI Methods. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_31
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