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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 6, JUNE 2025

SMART VOICE CONTROL ROBOTIC AUTOMATION SYSTEM

Dr. Nirmala G, B R Brinda, Nagashree H L, Spoorthy R, Vamshika S

DOI: 10.17148/IJARCCE.2025.14680

Abstract: Voice-controlled robotic systems have gained significant attention in recent years due to their ability to enhance automation and remote operation. This project presents a voice-controlled robot integrated with a camera module and an advanced hold and release mechanism, designed for efficient object manipulation. The system utilizes speech recognition technology, allowing users to command the robot hands-free. The incorporation of a high-resolution camera module enables real-time monitoring, visual tracking, and object identification, enhancing situational awareness and operational precision. The hold and release technology are a key feature that enables the robot to grip objects securely and release them with controlled precision, minimizing the risk of damage. This mechanism ensures adapt ability across diverse applications. An embedded micro controller governs real-time processing, interpreting voice commands, and executing tasks with accuracy. Furthermore, wireless connectivity allows remote access, facilitating seamless control and data transmission. This robotic system finds practical applications in several fields. The integration of a camera module makes the robot highly suitable for security and surveillance, where it can monitor restricted areas and detect potential threats. By combining voice recognition, computer vision, and precision handling, this robotic system represents a significant advancement in automation. Future enhancements may incorporate machine learning-based grasping techniques, and multi-language support to improve accessibility. With continuous development, such systems can make human-robot interactive more effective.

Keywords: IOT-based robot, Natural language processing (NLP), Bluetooth control robot, Wi-Fi surveillance robot.

How to Cite:

[1] Dr. Nirmala G, B R Brinda, Nagashree H L, Spoorthy R, Vamshika S, “SMART VOICE CONTROL ROBOTIC AUTOMATION SYSTEM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14680