Ethical Face Detection

In an era marked by growing concerns over privacy and data security, the integration of ethical facial recognition technology within video management software is ushering in a new era of responsible surveillance. Unlike traditional systems that often raise questions about intrusive data practices, this innovative approach prioritizes user privacy and data protection.

At its core, ethical facial recognition ensures that sensitive facial data remains securely stored within the confines of the local system. Unlike conventional solutions that transmit hashed data to the cloud, this technology keeps all information close to home, eliminating any potential risks associated with unauthorized access or misuse.

The key distinction lies in the commitment to non-identifiable data usage. By preventing the transmission of facial recognition data to external servers, the system safeguards individuals from being tracked or identified without their consent. This ethical approach is set to redefine the landscape of video management software, offering both peace of mind and cutting-edge capabilities for businesses and individuals alike.

Embracing ethical facial recognition within video management software is a step towards a safer, more responsible, and privacy-conscious future. With this technology, we can harness the power of facial recognition while preserving the fundamental principles of security and individual rights.


KYC, or Know Your Customer, is a crucial process employed by businesses and financial institutions to verify the identities of their clients or customers. While the primary objective of KYC is to prevent fraud, money laundering, and other illicit activities, it also involves the collection of certain demographic data such as age, ethnicity, and gender. This additional information is often gathered to better understand and serve the customer’s needs, tailor products or services, and ensure compliance with regulatory requirements. However, it’s essential to handle this data with utmost sensitivity, respecting privacy and adhering to data protection laws to maintain trust and security in the customer-business relationship.