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Coal mining is one of the foremost unsafe businesses, posturing critical dangers to diggers due to components such as harmful gasses, tall temperatures, and unsteady structures. Conventional security checking strategies are regularly insufficient, driving to delays in identifying dangerous conditions [1]. This paper presents the plan and usage of an IoT- based coal mine security and caution framework to improve digger security through real-time observing and robotized cautions. The proposed framework coordinating different IoT sensors, counting gas sensors for identifying methane (CH₄), carbon monoxide (CO), and oxygen (O₂) levels, temperature and stickiness sensors, and vibration sensors to screen mine conditions [2]. The collected information is transmitted wirelessly to a cloud-based stage, where it is analyzed in genuine time. In case any parameter surpasses the predefined security edge, an programmed alarm is sent to mineworkers and control room specialists by means of versatile notices and alerts, empowering provoke departure or remedial measures. This framework essentially progresses reaction times in crises, diminishes the probability of mischances, and guarantees a more secure working environment for diggers [3]. By leveraging IoT innovation, this arrangement gives a cost-effective and versatile approach to coal mine security, anticipating perilous episodes and improving by and large mine administration [5].