Each new industrial accident contributes to an overall increase in the risk to human life. Reduces the risk of industrial disasters by developing a single device with a radiation and dangerous gas detection monitoring system that is connect to the internet of things. The purpose of this study was to ensure that industrial accidents are avoid and to monitor the activities of the pollution control board. The primary purpose of this project is to investigate Internet of Things (IoT) methods for the early warning of toxic gas emissions utilising the spanning tree algorithm. A sensor to collect data from the surrounding environment at the time of the leak. This instrument is utilised for the detection of as many different gases and types of radiation as it can. The programme was test with single or multiple dangerous gases and radiation leaking, and the results showed that the response time was high and was quite quick. An alarm is a sound signal that is produce and utilised to alert industries that are near living people. After the gas has identified, the pin will transition from 0 to 1, at which point the microcontroller will show the warning message and subsequently notify the GSM. If the levels of the gases and radiation were to rise over the typical level, an alert would send out via the internet to a certain website and to an Android app. At first, the system built so that it could build a single webpage and an android app. This information is also visible to a large number of users, and it mostly focuses on the radiation and gas leaks key advantages. It will be a solid start for sectors concerned with keeping people safe in their daily lives if sensors collecting all data store it on internet corresponding websites, which can then be use for further processing.