The focus of this work is on PIN entering utilising the blinking approach, for user authentication and security, personal identification numbers are employed. PIN-based password verification users must input a physical PIN that can be cracked or hacked using shoulder surfing PIN entry process using eye blinks entering does not provide or easily leave any footprints behind, mak- ing it a more secure password entry option. Locating the blinks of an eye over creating picture frames in a consecutive order the Personal identification num- ber is referred to as eye blinks-based authentication. This research shows how to resist shoulder surfing and thermal tracking attacks in real time. Today’s authentication technologies, such as passwords, fingerprint scanners, and PIN entry, are all based on one-time, static authentication mechanisms that are vulnerable to assaults. The Real-time eye monitoring and password authenti- cation methods are being used has a greater chance of being reliable, In this case, the system for Eye Detection and Tracking must be secure and limited.