MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068735 A) filed by Mr. Prasad Digambarrao Thote; and Mr. Chetansingh Ashoksingh Deore on June 01, 2026, for Powered Smart Fitness Station For Schools And Colleges.
Inventors include Mr. Prasad Digambarrao Thote; and Mr. Chetansingh Ashoksingh Deore.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Powered Smart Fitness Station for Schools and Colleges The present invention relates to a Powered Smart Fitness Station for Schools and Colleges designed to promote physical fitness, health awareness, and intelligent exercise monitoring among students through an integrated digital fitness infrastructure. The invention combines exercise equipment, renewable power generation mechanisms, biometric monitoring sensors, artificial intelligence analytics, and cloud-based educational management systems into a unified smart fitness platform suitable for educational institutions. The proposed system includes stationary bicycles, treadmills, rowing machines, elliptical trainers, resistance training units, and multifunctional exercise stations equipped with kinetic energy harvesting modules capable of converting human physical activity into electrical power for operating campus facilities, charging electronic devices, or storing energy in battery systems. The fitness station further incorporates wearable or embedded biometric sensors to monitor heart rate, calorie expenditure, oxygen saturation, body temperature, movement intensity, posture alignment, and exercise duration in real time. Data collected from users are processed through an intelligent analytical engine that generates personalized fitness recommendations, health performance reports, and adaptive workout plans for students, teachers, and administrators. The invention also includes interactive digital displays, gamification features, leaderboards, reward systems, and educational dashboards to encourage student participation and healthy competition. Cloud connectivity enables remote access to fitness records, institutional wellness statistics, and energy generation analytics through mobile and web applications. Artificial intelligence algorithms analyze exercise patterns to detect fatigue, incorrect workout posture, or potential health risks while recommending suitable physical activities based on age, fitness level, and educational objectives. The invention supports sustainability initiatives by integrating renewable energy harvesting with physical education programs, thereby transforming traditional gym infrastructure into an intelligent, eco-friendly, and educational fitness ecosystem. The proposed system improves student wellness, enhances physical education engagement, supports energy conservation, and enables data-driven fitness management in modern schools and colleges.
Disclaimer: Curated by HT Syndication.
