Stuck at the basics — license plates and “man in red shirt” detections. Real world is far more complex:
Limited Human Attention
No one can effectively monitor multiple video feeds at once — critical moments often go unnoticed.
Slow and Inefficient Analysis
Scanning hundreds of hours of footage manually is time-consuming and prone to error.
Outdated Detection Capabilities
Legacy systems struggle with crowds, low light, or real-time detection of suspicious activity.
Why General AI Fails Surveillance
LLMs, VLMs, and Transformers describe. Allium’s Surveillance Agents identify.
No Identity
They can’t tell who across cameras.
No Continuity
Lost in disguises, crowds, or time.
Not Real-Time
Too slow for live surveillance needs.
Powerful AI Use Cases for Real-World Surveillance
Each camera is powered by its own AI agent that thinks, remembers, and acts, while super-agents collaborate seamlessly across the network and with humans.
Our AI Remembers and Never Sleeps
Allium’s Surveillance AI Agents know, remember, and act — in real time.