A Survey on AI-Powered Smart Attendance Systems: Integrating Deep Learning, Computer Vision, and IoT for Enhanced Security and Reliability

This project introduces an AI-powered smart employee attendance system that leverages deep learning, computer vision, and IoT technologies to offer a secure, contactless, and reliable solution for modern workplaces. Employees mark their attendance via a mobile application equipped with AI-based facial recognition, which verifies identity using live face data. To ensure authenticity and prevent location spoofing, the system integrates Bluetooth Low Energy (BLE) and Near Field Communication (NFC) modules within the office premises. These IoT components confirm the employee’s physical presence, enabling multi-factor verification. The AI layer incorporates liveness detection to counter spoofing attempts and intelligent behavior analysis for detecting anomalies such as frequent late entries. With a seamless backend architecture, real-time validation, and admin dashboard support, the system redefines traditional attendance methods by making them automated, intelligent, and secure.