Intellectual Property India Publishes Patent Application for 'Fault Tolerance Sensor Fusion Using Brooks Iyengar Algorithm With Cloud Integration' Filed by Hemalatha. S; Ajay R; Anuj A; Avinash C K; Balaji R; and Dharanikumar N K

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112350 A) filed by Hemalatha. S; Ajay R; Anuj A; Avinash C K; Balaji R; and Dharanikumar N K, Coimbatore, Tamil Nadu, on Nov. 17, 2025, for 'fault tolerance sensor fusion using brooks iyengar algorithm with cloud integration.'

Inventor(s) include Hemalatha. S; Ajay R; Anuj A; Avinash C K; Balaji R; and Dharanikumar N K.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "Tn modern ToT-based monitoring systems, accurate and reliable sensor data are essential for effective decision-making. However, sensor faults, environmental noise, and communication errors can lead to inaccurate readings that compromise system performance. To address this challenge, the proposed project develops a Fault-Tolerant Sensor Fusion Module based on the Brooks-Tyengar algorithm, implemented on an ESP32 microcontroller using MicroPython. j The system integrates multiple DS18B20 digital temperature sensors to collect real-time environmental data. The Brooks-Iyengar algorithm performs distributed fault-tolerant data fusion, which identifies and minimizes the effect of faulty sensor readings by averaging reliable data within defined tolerance limits. This ensures accurate and stable temperature measurements even in the presence of outlier or malfunctioning sensors. The processed and validated data are transmitted to the ThingsBoard ToT cloud platform, where real-time visualization, data logging, and anomaly notifications are provided. This integration enhances system reliability and scalability, making it suitable for applications such as industrial temperature monitoring, smart agriculture, and environmental automation systems. The proposed system demonstrates how fault-tolerant algorithms, combined with ToT and cloud technologies, can significantly improve the dependability of sensor-based monitoring networks."

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