IOT FACE RECOGNITION AIROBOT USING EMBEDDED SYSTEM

Abstract

The integration of face recognition technology with embedded systems in an IoT framework presents a significant advancement in human-robot interaction and security applications. This proposeanovelIoTbasedfacerecognitionAIrobotutilizingembeddedplatformssuchasESP- 32 or Arduino with AI accelerators for efficient real-time face detection and recognition. The system employs a high-resolution camera for image acquisition, with facial recognition performed using pre-trained deep learning models optimized for embedded processing. The recognized data is leveraged to drive robotic actions through an IoT network, enabling applications like access control, user identification, and personalized interactions. A lightweight convolutional neural network (CNN) ensures computational efficiency, while optimized communication protocols facilitate seamless cloud and device integration. Experimental evaluations demonstrate the system’s reliability across various environmental conditions,emphasizingitsapplicabilityinsecurity,healthcare,andpersonalassistantdomains. The study concludes with an analysis of system performance, scalability, and future improvements to enhance embedded AI-driven face recognition in IoT ecosystems