In this modern era, monitoring of industrial parameters like temperature reading of the respective machines, voltage supply to the equipment, inside environment of the industry, pressure level, inventory monitoring and management so on. Change in reading of the values can be a massive effect. Not only parameters like these but also the position of objects placed are also important to monitor. For an example, consider and oil or fuel drums that are placed one upon other in a room. Monitoring of these parameters has been changed day by day since past few years. Here we are using the software technologies like image processing, machine learning to monitor some of the industrial parameters. And also big data techniques to analyse the various sensor values for the prediction of future values or to know about the behaviour of the respective machine. This can also be extended to use machine learning techniques to automate the complete system. The hardware part here is controlled by Arduino mega which acts like a centralized processing unit for the whole part system. The system is stable and also it is an effective way to monitor. This technique can bring new safety measures for small scale industries too. © 2018 The Authors. Published by Elsevier Ltd.