In the realm of physical security, preventing unauthorized access to secure areas is of paramount importance to safeguard critical assets, sensitive information, and personnel. One of the common challenges faced by security systems is the phenomenon of piggybacking and tailgating, wherein an unauthorized individual gains entry by closely following an authorized person. This research paper delves into the methods and technologies used to detect and prevent piggybacking and tailgating incidents. We explore a range of technological solutions including sensor-based systems, biometric authentication, artificial intelligence, and deep learning algorithms. By examining the strengths and weaknesses of these approaches, we aim to provide insights into the current state of the field and potential directions for future research.