Auto-Guide for Caroms Playing Using IoT

Abstract

The playing of the caroms manually or by computer environment would not be sent percentage accurately. In order to get sent out of sent results, IoT simulator is created over the carom board with audio as an aid. This proposed system integrates manual approach with simulated approach in order to achieve the 100% accuracies. There are certain situations where this system gives free hand to the player when there is no guaranty of result. The proposed system has many scenarios which are trained with accurate results; such successful scenarios would yield to accurate results. In a total of player turns, this system completes the rounds in less time with the support of the players co-ordination compared to manual approach. The experience of this proposed system is extraordinary and result in self-satisfaction. The predefined recorded set of successful scenarios are helpful in giving the guidance to the player, that would help to complete the board with efficient expected results than the results of manual or other existing approaches. The player’s sideline border is fixed with each programmed sensor, which directs which coin if hits, would be successfully fallen. The factors considered here are performance and accuracy, which makes the system more effective using IoT and specific machine learning technique.