
February 3, 2026
OAKLAND, CA — February 3, 2026.
Lumeo, the leader in customizable video analytics, today announced advanced facial recognition analytics that go beyond traditional watchlist matching. The new capability allows organizations to assign custom tags to individuals—such as "staff," "VIP," or "contractor"—and combine face identification with other Lumeo analytics to unlock use cases previously impossible with conventional video systems.
Unlike standard facial recognition that simply matches faces against security watchlists, Lumeo's approach lets organizations categorize individuals with arbitrary tags and then correlate those identities with behavioral analytics. This creates entirely new operational insights:
Lumeo's facial recognition also integrates with built-in blurring and redaction capabilities, enabling a new category of privacy-preserving analytics. Organizations can now collect behavioral data about groups of people—such as "customers" or "visitors"—without storing or identifying specific individuals.
This means retailers can measure how shoppers interact with staff, healthcare facilities can track patient flow patterns—all while automatically redacting faces from stored footage and metadata. Organizations get the operational insights they need without the privacy liability of maintaining individual identity records.
Lumeo's facial recognition capabilities are designed to support a wide range of operational use cases, subject to applicable local laws and regulations. The analytics integrate with Lumeo's no-code platform, allowing teams to build custom detection pipelines without technical expertise.
Lumeo empowers organizations to transform video streams into actionable data. With hundreds of pre-built analytics and a drag-and-drop pipeline builder, Lumeo makes advanced video intelligence accessible across healthcare, retail, transportation, and industrial operations. For more information: https://lumeo.com/
Traditional facial recognition asks 'who is this person?' We're enabling organizations to ask 'what is this person or group of people doing, and does it match what they should be doing?' And with our redaction capabilities, they can also ask 'how is this group behaving?' without ever recording who specifically was involved. That's a fundamental shift in what's possible with privacy-compliant video analytics.
— Devarshi Shah, CEO of Lumeo