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See what matters. Act before it escalates.
AI Video Intelligence
Real-time video analytics that transform camera feeds into operational intelligence. From ANPR and fire detection to attendance tracking and pest alerts, the platform ships with ready-to-deploy modules and supports unlimited custom use cases tailored to your operating environment — all running across existing camera infrastructure without human fatigue or blind spots.
Performance
Documented benchmarks from production deployments
Metrics from operational systems — not laboratory tests.
shreeng.ai.video-intelligence
Vehicle 98%
Plate 96%
GATE-CAM-01
REC 30fps
Person 94%
CORRIDOR-02
REC 30fps
Rodent 87%
PEST ALERT
STORAGE-03
REC 30fps
W-1042 96%
W-1038 91%
FACTORY-04
REC 30fps8 feeds active
|Scene 1/22 alerts4 detections
0%
Detection accuracy
0ms
Processing latency
0
Camera feeds per node
0 weeks
Time to production
Capabilities
What this system does
Purpose-built capabilities for production deployment. Not feature lists — operational outcomes.
Real-time object detection and classification
Behavioral anomaly recognition
Cross-camera tracking and correlation
Automated incident alerting
Crowd density and flow analysis
License plate and vehicle recognition (ANPR)
Cleaning and mopping activity verification
Rodent, pest, and foreign object detection
Worker identification and PPE compliance monitoring
Fire, smoke, and cooking overheat detection
Person absence detection in classrooms and factory floors
Face recognition-based attendance and access tracking
Nuisance, aggression, and crowd disturbance alerting
Custom use case development for client-specific requirements
Integration with existing IP camera infrastructure
Deployment Process
From discovery to measurable outcomes
A structured engagement model that delivers production intelligence systems — not prototypes.
Discovery
2 weeks
Architecture
2 weeks
Build
6-8 weeks
Deploy
2 weeks
Measure
Ongoing
Industry Applications
Built for specific operating environments
Applied Intelligence
Documented outcomes in production
Deployment
Deploy where your requirements demand
Infrastructure should serve your data governance and latency needs — not constrain them.
Cloud
Managed deployment on your preferred cloud provider. Rapid scaling, minimal infrastructure overhead.
On-Premises
Full deployment within your data center. Complete data sovereignty and infrastructure control.
Edge
Processing at the data source for latency-sensitive applications. Sub-second response times.
Frequently Asked
Common questions
What is AI video intelligence?
AI video intelligence applies computer vision and deep learning to video feeds, extracting structured data from unstructured visual information. It converts passive surveillance into active operational intelligence that detects events, identifies patterns, and triggers responses automatically.
What use cases does the system support?
The platform ships with ready-to-deploy modules including ANPR, cleaning verification, pest detection, worker identification with PPE compliance, fire and overheat alerting, person absence monitoring, face recognition-based attendance, and nuisance detection. Beyond these, the system supports unlimited custom use cases developed to match your specific operational requirements.
Does this work with existing camera systems?
Yes. The platform is hardware-agnostic and integrates with any IP camera infrastructure through standard protocols. No camera replacement is required.
How is this different from traditional video management?
Traditional VMS records and stores video. AI video intelligence analyzes video in real time, identifying events as they happen and alerting operators before situations escalate. It replaces reactive monitoring with proactive detection across multiple use case modules simultaneously.
What deployment options are available?
The system supports cloud, on-premises, and edge deployment models. For latency-sensitive applications like fire detection or nuisance alerting, edge processing ensures sub-second response times.
Related Solutions
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Analysis and insights
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