Unconscious Selfie Capture Based on Smile Using HAAR Cascade Algorithm

• 1Anna University Chennai, UG Student, Dept. of CSE, Prathyusha Engineering College, Tiruvallur, IN

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.