Automation as the procedure is achieved without human assistance has already applied for many enterprises to improve productivity and cost reduction. The computer numerical control machines (CNC) have been implemented in many industrial segments and the monitoring of future fails can avoid delivery time delay, improve flexibility and cost-saving. As a tool of Industry 4.0, the internet of things (IoT) has been applied to introduce predictive maintenance programs. This work aims to investigate the feasibility of an easy monitoring system, using Arduino, and sensors for ultrasonic proximity, and color recognition, as well as an accelerometer as a low-cost alternative to data acquired in a CNC lathe machine facilitating the IoT implementation, and consequently a predictive maintenance program.