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@article{195532,
        author = {LALAM SANDHYA and Prasadavalli Raghu Akshaya and Jami Jagadeesh kumar and Mailpilly Chandrashaker and Vanthala Deeven Pradeep},
        title = {IOT BASED ON SMART BABY CRADLE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {206-208},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195532},
        abstract = {Hand gesture recognition is a crucial area in human–computer interaction that enables natural and touchless communication between users and digital systems. Traditional input devices such as keyboards and mice limit intuitive interaction. This project presents a real-time hand gesture recognition system using Media Pipe landmark detection to provide a more efficient interface. The system applies computer vision and machine learning techniques to detect and classify hand gestures from live webcam input. Media Pipe is used to extract 21 key hand landmarks representing joints and fingertips. By analyzing these landmarks, gestures such as open palm, fist, thumbs up, and finger counting are recognized in real time. The system processes video frames, detects the hand, extracts landmark coordinates, and identifies gestures using rule-based or learning-based methods. The implementation is carried out using Python, OpenCV, and Media Pipe libraries. The system achieves high accuracy with minimal latency and can be applied in areas such as virtual control systems, gaming, sign language recognition, robotics, and touchless interfaces.},
        keywords = {IoT, Smart Baby Cradle, Node MCU, Sensors, Automation, Real-Time Monitoring, Cry Detection, Temperature, Humidity, Cloud, Alerts, Safety, Embedded Systems, Wi-Fi, Mobile App, Control, Health, Monitoring, System.},
        month = {March},
        }