In recent years, there has been growing interest in facial recognition technology, extending its reach into various sectors, including attendance systems. Imagine a cutting-edge attendance system driven by facial recognition, transforming how organizations manage attendance in academic institutions and workplaces, ensuring unparalleled accuracy and efficiency. Our research delves deep into the practical application and effectiveness of facial recognition attendance systems, particularly in academic and professional settings. We aim to uncover the numerous advantages this technology brings to attendance management, such as enhanced precision, streamlined operations, and bolstered security protocols. However, we acknowledge that ethical considerations loom large in the adoption of facial recognition technology. Issues surrounding privacy breaches and biases demand careful scrutiny. Our objective is to propose viable solutions that uphold ethical principles while harnessing the potential of facial recognition. Furthermore, we go beyond technical and ethical assessments to examine user experience and acceptance. Through surveys and interviews, we seek to grasp user perspectives, exploring how individuals interact with and perceive these systems. Ultimately, our research seeks to illuminate both the potential benefits and challenges of facial recognition attendance systems. By doing so, we aim to facilitate the development of ethical guidelines that strike a harmonious balance between innovation and accountability in attendance management.