In this study, we present an integrated motor inspection system utilizing digital processing techniques, which can be applied in fields such as factory automation, electric vehicles, and mechanical arms. The system collects signals from multiple sensors placed around the motor and triggers specific alarm signals upon detecting fault conditions. In the proposed approach, a microcontroller is used to monitor the motor operation continuously. Initially, it receives temperature signals from an infrared sensor to assess whether the motor temperature falls within the specified working range. Additionally, current and noise sensors are utilized to measure whether the current and noise levels exceed the respective rated limits. Furthermore, a Hall magnetic rotation position sensor determines the speed and motor rotation angles, enabling the detection of issues related to speed and current. Moreover, a three-axis accelerometer installed on the motor gauges motor vibrations. Subsequently, the discrete wavelet transformation is applied to segregate vibration signals into the domains, enabling the identification of abnormal vibrations resulting from electrical or mechanical issues using statistical methods. Finally, the system can transmit inspection results to an external panel via serial communication for graphical display. The proposed system can effectively detect motor faults and ensure the motor’s normal operation. It is designed to facilitate real-time monitoring and aid maintenance personnel in troubleshooting.