During the process of public security case handling, case materials and interrogation information are highly confidential. Illegal unauthorized photography and account login through impersonation can easily lead to the leakage of confidential information, posing significant security risks. Addressing the pain points of confidentiality control in case handling scenarios, face recognition screen anti-photography security terminals have emerged.
[Trusted identity verification: certificate uniquely bound to face]
The device supports the binding of public security digital certificates with facial information, enabling strong verification of the operator's identity. Only the certificate holder can log in with confidence, eliminating the risks of account lending and unauthorized login by others, and ensuring clear traceability of the operation identity.
[End-to-end AI anti-surveillance detection, actively intercepting candid photography]
Equipped with local AI visual algorithms, there's no need to upload images to the cloud, as it can monitor screen peeping behavior in real-time. Once it detects any screen peeping actions from mobile phones or cameras, it will immediately trigger alerts and interception measures to prevent any potential leaks.
[Dual-mechanism collaboration, closed-loop confidentiality control]
Identity access control and real-time anti-photography interception are implemented in parallel, establishing protective barriers in two key aspects: "who can log in" and "whether unauthorized photography can occur after login", thereby comprehensively mitigating the risk of unauthorized photography and leakage of case information.
Local-side computing and data retention within the device ensure both information security and practicality in various scenarios. It is tailored for confidential office environments such as police case handling and intranet business, providing robust protection for government confidential information security.