Real-world deployments with measurable results. See how organizations across industries use EagleAI to transform their security.
Losses from shoplifting and employee theft exceeded ₹2.5 Cr annually across 50 stores. Manual CCTV monitoring was inconsistent — guards couldn't track all 400+ cameras simultaneously, and incident review took 4-6 hours per case.
Deployed EagleAI across all 50 stores, connecting to existing 400+ cameras. Set up zone intrusion alerts for high-value areas, person re-identification for known offenders, and automated daily intelligence briefs for store managers.
“EagleAI paid for itself in the first month. The AI catches shoplifters before they leave the store — our loss prevention team can respond in real-time instead of reviewing footage after the fact.”
The 120-acre campus had 200 cameras but only 4 security guards monitoring screens. After-hours incidents in labs and parking areas went undetected until the next morning. Student safety was the top priority.
Implemented EagleAI with zone-based monitoring: restricted lab zones after 10 PM, parking lot loitering detection, and face recognition for authorized personnel at research facilities. Integrated alerts with the campus security app.
“Our security team now gets an alert within seconds of any unauthorized entry. The daily intelligence reports help us allocate guard patrols based on actual activity patterns rather than guesswork.”
The warehouse complex stored ₹50 Cr+ in inventory. Motion-sensor alarms triggered 20+ false alerts daily (animals, wind-blown debris), causing alert fatigue. Guards stopped responding to alarms altogether.
Replaced motion sensors with EagleAI visual AI — the system distinguishes people versus animals versus objects. Perimeter line-crossing detection triggers only on human intrusions. Abandoned object detection for the loading dock area.
“Before EagleAI, my team ignored half the alerts because they were always false. Now every alert is real and actionable. The abandoned object detection caught a suspicious package within minutes.”
Manual ticket-based parking across 5 locations with 3,000 daily vehicles caused long queues, disputes, and revenue leakage. Occupancy tracking was manual and inaccurate.
Deployed EagleAI ANPR at all entry/exit points. Automatic plate recognition logs vehicles in real-time. Dashboard shows live occupancy across all 5 locations. Violation detection for expired stays and unauthorized parking.
“The system processes plates faster than a human can. We eliminated parking disputes completely because every entry and exit is timestamped with photographic proof.”
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