● Case Studies Serviallax — AI CCTV

Serviallax AI Surveillance in Action

How police commands, smart cities, and enterprises deploy Serviallax to unify fragmented camera networks and transform passive CCTV into active intelligence.

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200K+
Camera feeds managed globally
99.4%
Detection accuracy across deployments
<150ms
Average alert latency
78%
Reduction in operator workload
Case Studies

Serviallax deployments that transformed security

CASE · 02 · 001

City-Wide Surveillance Unification: 12,000 Cameras, One Command Centre

Tier-1 Indian City Police
12,000 cameras / 8 vendors
Deployed in 6 weeks

A major Indian city's police command was operating 12,000 CCTV cameras from 8 different legacy vendors across the city. Each vendor's system had a separate dashboard, separate alert logic, and required different trained operators. The fragmented infrastructure meant cross-camera tracking was impossible, alert response averaged 22 minutes, and 94% of analyst time was spent watching inactive feeds.

Serviallax's universal camera integration layer ingested all 12,000 feeds through standard RTSP/ONVIF protocols regardless of vendor, providing a single AI-powered command interface with unified alerting across all feeds simultaneously.

Universal ONVIF/RTSP integration — no camera replacement needed
Centralized AI command dashboard for 12,000 feeds
Cross-camera person tracking and trajectory mapping
Watchlist facial matching across all feeds simultaneously
Anomaly detection: fights, abandoned objects, crowd surge
Mobile alert dispatch with clip preview to field units
47
Wanted persons apprehended in first quarter via face match
22→3
Minutes — average alert response time improvement
78%
Reduction in operator active monitoring workload

The unified Serviallax deployment reduced the operator team from 180 to 52 while improving response times by 86%. In the first quarter post-deployment, 47 wanted persons were identified and apprehended via live facial recognition alerts — compared to 3 in the preceding quarter using legacy systems.

We had 8 different systems running separately for 4 years. Serviallax brought them all together in 6 weeks. Our operators now only respond to real events — the AI does the watching.
— Deputy Commissioner of Police, City Surveillance Division (name withheld)
CASE · 02 · 002

Oil Refinery Perimeter Security: Zero Intrusion Events After Deployment

Critical Infrastructure Operator
Western India
340-hectare perimeter

A major oil refinery had experienced 3 perimeter intrusion incidents in 18 months — two involving attempted theft of copper wiring and one involving a suspected sabotage attempt. The existing 280-camera CCTV system relied entirely on human monitoring across a 340-hectare perimeter with 60 operators working rotating shifts. Human fatigue meant intrusions frequently went undetected until post-incident review.

AI tripwire zones across all 280 perimeter cameras
Night-vision and thermal feed AI analysis
Vehicle detection and LPR for all access points
Loitering detection with configurable dwell-time alerts
Cross-camera trajectory tracking of intruder movement
Integration with physical access control and gate systems
0
Successful intrusion events in 18 months post-deployment
12
Attempted intrusions detected and interdicted
60→18
Operator headcount reduction

Eighteen months after Serviallax deployment, the refinery recorded zero successful intrusions — compared to 3 in the preceding period. 12 attempted intrusion events were detected and interdicted by security teams responding to Serviallax alerts. Operator headcount reduced from 60 to 18 through AI automation.

CASE · 02 · 003

Retail Chain Loss Prevention: ₹4.2 Crore Annual Shrinkage Recovered

National Retail Chain
84 stores across India
3,200 cameras integrated

A national retail chain with 84 stores across India was experiencing annual shrinkage of ₹6.8 crore — approximately 2.1% of revenue. Store managers lacked visibility into which stores and which product categories were most affected. Reviewing CCTV footage reactively after incidents was time-consuming and rarely led to prosecution.

Queue and dwell-time analytics across all 84 stores
Shelf zone anomaly detection for repeated browsing without purchase
Backroom and cash area restricted access monitoring
Known shoplifter watchlist facial recognition
Real-time alert to store manager's mobile on flagged behaviour
Centralized heat map dashboard by store and product zone
62%
Reduction in shrinkage within 6 months
₹4.2Cr
Annual shrinkage value recovered
140
Repeat offenders identified via watchlist matching
We had cameras in every store for years but no intelligence from them. Serviallax turned them into a loss prevention system that actually works — our shrinkage dropped by 62% in the first six months.
— VP Retail Operations, National Chain (name withheld)
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