AI-ENABLED SMART GRINDER

Technology
Conceptual
University

The present invention relates to an AI-based grinder for processing input materials includes a grinder unit with a material input hopper, a motor-driven grinding mechanism, and an output tray. Integrated sensors, including vibration, torque, and particle size sensors, monitor operational parameters in real time. An artificial intelligence (AI) module, configured with machine learning algorithms, dynamically adjusts grinding parameters such as motor speed, pressure, and duration based on sensor data and user preferences, ensuring consistent output and energy efficiency. A microcontroller unit actuates the grinding mechanism, while a user interface enables input of operational preferences and displays system status. The grinder features cloud connectivity for remote monitoring, predictive maintenance, and multi-device learning, alongside a modular design for versatile applications. Safety protocols and adaptive power regulation enhance reliability and sustainability, making the grinder suitable for domestic, commercial, and industrial use.


About Suresh Gyan Vihar University

Suresh Gyan Vihar University is a private research university in Jaipur, Rajasthan, serving roughly 4,000 students through a broad, industry-oriented academic and research profile. Its 32-acre campus combines academic schools, research centres, advanced laboratories, and incubation facilities, giving corporate R&D teams access to faculty expertise, doctoral researchers, and applied research infrastructure. The university emphasizes academia–industry engagement through collaborative programs, industry-linked laboratories, internships, consulting, mentoring, shared workspace, IP support, and startup linkages. Research is supported by competitive funding and collaborations involving the Department of Science and Technology, SERB, DBT, UGC, and Rajasthan government programs. An IPR and Research Cell supports patenting, licensing, technology-transfer agreements, and commercialization.

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