Staqu
Re-defining search through Artificial Intelligence
9 followers
Re-defining search through Artificial Intelligence
9 followers
This is the 2nd launch from Staqu. View more
JARVIS by Staqu Technologies
Launching today
JARVIS by Staqu transforms existing CCTV infrastructure into real-time AI intelligence. Powered by computer vision, deep learning, and an AI layer, it helps businesses improve revenue through customer insights, enhance operations with occupancy and workflow monitoring, and strengthen safety via intrusion, crowd, and anomaly detection. From retail, restaurants, hotels, factories, warehouses & infrastructure to smart cities and stadiums, JARVIS turns passive video feeds into actionable decisions.
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Launch Team
One thing we’ve learned while building JARVIS: cameras generate an insane amount of data, but most of it just sits there unless someone actively monitors it.
That’s what pushed us to build JARVIS, not as another surveillance dashboard, but as an AI layer that can actually understand what’s happening in real time.
Under the hood, JARVIS combines computer vision, real-time video analytics, deep learning-based object and crowd detection, anomaly detection, and edge plus cloud AI infrastructure to process live video feeds and turn them into actionable insights.
A recent example of this in action was our collaboration with RCB at Chinnaswamy Stadium.
Stadium environments are unpredictable. Crowd movement changes in seconds, entry/exit points get congested quickly, and small delays in response can become bigger safety concerns.
For this deployment, the tech was focused on AI-powered crowd density monitoring, people counting, movement pattern analysis, zone-based congestion detection, anomaly alerts, and real-time event monitoring, helping operations teams get live visibility into crowd behaviour and respond faster when needed.
What’s interesting is that this is the same core technology we use across very different environments, retail stores tracking customer movement, manufacturing plants monitoring safety compliance, smart cities detecting incidents, and large public venues managing crowd safety.
And with our AI layer, teams can now interact with this intelligence much more naturally, instead of digging through dashboards, they can simply ask questions and get instant answers.
Would love to hear how others here see AI evolving in physical security and operational intelligence.