MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124719 A) filed by Vishnu Institute Of Technology, Bhimavaram, Andhra Pradesh, on Dec. 10, 2025, for 'smart temperature prediction system for dc motors using a random forest model and arduino mega interface.'
Inventor(s) include Dr. Idamakanti Kasireddy; and Dr. Reddi Khasim Shaik.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention introduces an intelligent system for real-time temperature prediction of a DC motor using a Random Forest regression model deployed on an Arduino Mega microcontroller. The system measures key operating parameters of the motor-such as voltage, current, and rotational speed-and uses these values as input features for the trained Random Forest model to estimate the internal temperature of the motor, eliminating the need for a physical temperature sensor during normal operation. The Random Forest model is trained externally using data gathered under different load and speed conditions, after which it is converted into code suitable for execution on the Arduino platform. During operation, the microcontroller evaluates the predicted temperature and performs necessary control actions, such as reducing the motor speed or shutting it down when excessive heating is anticipated. This predictive approach provides early thermal protection, enhances motor reliability, and enables a low-cost embedded machine learning solution suitable for industrial automation, automotive systems, robotics, and other applications requiring intelligent motor monitoring."
Disclaimer: Curated by HT Syndication.
