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@article{205170,
        author = {Rohan Lekurwale and Prof.shyamsundar magar and Prashant Patange and Gopal Pawar},
        title = {Smart Voice Control LED Display System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {6189-6194},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205170},
        abstract = {The proliferation of Internet of Things (IoT) devices and smart embedded systems has redefined the paradigm of human-machine interaction in public display infrastructure. Conventional LED matrix display systems operated through wired serial interfaces or fixed pre-programmed content, lacking real-time configurability, remote management capabilities, and intelligent interaction features. These limitations hinder deployment efficiency in dynamic environments such as transportation hubs, retail outlets, educational campuses, and smart city infrastructure. To address these shortcomings, this paper proposes a Smart Voice-Controlled LED Display System leveraging P10 LED Matrix Panels, an ESP32-based WiFi controller, and a regulated voltage conversion subsystem to deliver an intelligent, remotely operable, and voice-interactive public display platform. The system integrates voice recognition via Google Speech-to-Text API and on-device Natural Language Processing (NLP) to parse spoken commands into structured display instructions. A companion Android application facilitates both voice and text-based message control over a WiFi network using MQTT protocol, enabling seamless real-time message updating, . The hardware architecture employs a cascaded arrangement of P10 single-color and RGB LED matrix modules driven by an ESP32 microcontroller, with a DC-DC buck converter regulating the 12V input supply to stable 5V rails required by the display panels and logic circuits. Experimental evaluation demonstrates a voice command recognition accuracy of 93.7%, an average display update latency of 210 milliseconds over WiFi, and stable power delivery under full-load conditions. The proposed system achieves a 70% reduction in manual content update effort compared to conventional wired display configurations, demonstrating its viability as a scalable, intelligent solution for modern public information display infrastructure. This research contributes to the fields of IoT-enabled embedded systems, voice-interactive hardware, smart display technologies, and real-time wireless communication.},
        keywords = {P10 LED Matrix, ESP32, Voice Control, WiFi MQTT, Speech Recognition, Natural Language Processing (NLP), Voltage Converter, Buck Converter, IoT Dis-play System, Smart Embedded Systems, Web Application},
        month = {June},
        }