Video surveillance has long been stuck in a reactive paradigm — cameras record, people watch later. Lumana is helping shift that model toward proactive, intelligent security.

From Legacy to Native-AI

Most existing surveillance systems bolt AI on top of old infrastructure. Lumana takes a different approach: it rebuilt its platform from the ground up with AI and modern cloud-edge architecture in mind. Instead of simply adding “smart features” after the fact, Lumana designs its hardware, software, processing logic, and data flow around AI-first thinking.

Adaptive Intelligence at the Edge

Rather than sending all video data to the cloud for analysis (which can introduce latency, bandwidth costs, and blind spots), Lumana uses a hybrid-cloud / edge-AI strategy. An “AI engine & video processor” lives close to where the video is captured — enabling near-real-time detection with fast alerts and fewer false positives.

This makes the system more precise and meaningful. Alerts arrive in under a second, and models adapt to the site-specific behaviour over time so that the system learns what is normal and what is suspicious.

Smarter Search & Investigation

One of the biggest pain points with old surveillance systems is “how do you find the needle in hours of footage?” Lumana offers AI-powered search tools that let you filter by object attributes, behaviour, location, or even natural-language–style queries to pinpoint events fast.

Investigations no longer mean manually scrubbing through video for hours — instead you can interrogate footage with meaningful filters and get results in seconds.

Versatility Across Use Cases

Lumana isn’t just about intruder alerts. Its AI platform is being used in manufacturing (for safety and efficiency), retail (theft / policy violations), education, government, and even municipal settings (fires / illegal dumping). This shows the shift: video surveillance is becoming part of operations, safety, compliance, and analytics — not just security.

Trust, Accuracy & Governance

Perhaps most importantly, Lumana emphasizes reducing false alarms, supporting adaptive learning, and maintaining high standards for privacy & compliance. Rather than flooding security teams with noise, the system focuses on meaningful events — and offers controls so identity-tracking can be disabled, and only “actions, not identities” are prioritized.

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The Big Picture

Lumana’s approach shows what the future of video security looks like:

• intelligent systems that watch and reason,
• that learn from their environment over time,
• that serve multiple roles (safety, operations, compliance),
• and that act in real time rather than just record for later review.

If AI is going to be more than a buzzword in surveillance, the shift has to go beyond algorithms. It has to be built in — and that’s what Lumana is trying to do.