Addressing Ambiguity and Counterfeit Entries: The solution tackles the critical issue of ambiguity and counterfeit entries in facial recognition technology.

Recording Unlock Events on Blockchain: Each unlock event is recorded as a state in the blockchain, empowering users to distinguish between authentic and fraudulent accesses.

Ensuring Integrity of Facial Recognition Data: By providing a transparent and immutable record of each interaction, the approach guarantees the integrity of facial recognition data.

Enhanced Security and Trust: Administrators can easily monitor and verify the legitimacy of access attempts, thereby enhancing security and trust in facial recognition systems.

Propagation of State with Each Unlock: Every new unlock propagates the state, and this transaction is recorded on the blockchain, ensuring transparency and verifiability of any system changes.

Bolstering Security and Trustworthiness: This mechanism further bolsters the security and trustworthiness of the facial recognition system by ensuring transparent and verifiable transactions.

Administrator Access to Log and Previous States: Administrators have the capability to access the log and review all previous states whenever a person unlocks the facial recognition tool.

Comprehensive Monitoring: This comprehensive access enables administrators to track the complete history of interactions, ensuring transparency and facilitating the detection of any unauthorized access attempts or suspicious activities.

Insight into State Changes: By having insight into every state change, administrators can effectively monitor the system's integrity and promptly address any security concerns that may arise.