Abstract

This study presents an automatic selfie capture system leveraging smile detection employing the HAAR cascade algorithm. The system operates in real-time, identifying facial features including smiles through a cascade of classifiers. Upon detecting a smile, the system promptly triggers the camera to capture a selfie. This novel approach aims to streamline the selfie-taking process, eliminating the need for manual intervention. Through extensive evaluation, our system demonstrates robustness across diverse lighting conditions and facial expressions, ensuring reliable performance. Overall, the proposed system offers a seamless and engaging user experience, enhancing the efficiency and enjoyment of selfie photography.