Thanks to the rapid development of information technologies, the number of CCTV cameras has increased, which has decreased crime and violence rates. Regardless of its benefits, there are some drawbacks, such as the lack of privacy in preserving the identity of people when video data is shared. Information collected and shared by analyzing real-time video data gathered from CCTV systems is vulnerable to privacy violations, necessitating secure countermeasures. This paper attempts to compare, contrast, and propose efficient methods for detecting and encrypting faces in image frames that are obtained from video. With the advancements in technology, security measures must also be improved to curb any violations of confidentiality. At times, the encryption data contains information that some parties, such as criminal investigators or administration, are interested in; it can be advantageous to recover these concealed facts. Hence, we also seek to gather relevant decryption techniques that would enable us to achieve the same without much loss of information.