International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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AI Based Face Recognisation Robot

Authors: Neha Amale, Pratiksha Pawar, Aditi Jadhav, Akshada Nawale, Prof. P.N More

Country: India

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Abstract: An AI-Based Face Recognition Robot is an advanced robotic system that leverages artificial intelligence and computer vision to identify or verify individuals by analyzing their facial features. Equipped with a camera and AI-powered facial recognition software, the robot captures real-time facial images, processes them using deep learning algorithms such as convolutional neural networks (CNNs), and compares the extracted features with a stored database for recognition or authentication. This system enhances the robot’s ability to interact with users in a personalized, secure, and intelligent manner.
The integration of face recognition technology with robotics has led to significant improvements in automation and human-machine interaction. These robots are capable of performing a wide range of tasks including greeting individuals, granting access to authorized personnel, monitoring attendance, alerting for unknown persons, and delivering personalized services. They operate through onboard processing units like Raspberry Pi or cloud-connected systems, allowing continuous learning and adaptability to various environments.
AI-based face recognition robots are increasingly utilized in diverse fields such as security, education, smart homes, customer service, and healthcare due to their speed, accuracy, and contactless identification capabilities. The system’s ability to detect, analyze, and respond to human faces enhances both functionality and user experience, making it a vital component in modern intelligent systems.
Overall, the AI-Based Face Recognition Robot represents a major step toward creating autonomous machines that can see, interpret, and respond to human identity and behavior, contributing to the development of smarter, safer, and more efficient technological environments.

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Paper Id: 232539

Published On: 2025-05-30

Published In: Volume 13, Issue 3, May-June 2025

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