- Records footage
- Depends heavily on manual observation
- Often reveals incidents after they occur
- Makes multi-location review difficult
Surveillance Edge AI Operational intelligence
SHIVMUDRA – AIYour cameras already see. SHIVMUDRA gives them intelligence
Connect suitable existing CCTV infrastructure with edge-oriented intelligence, configured analytics, meaningful events and human response—across security, operations, compliance and surveillance health.
- Edge-oriented intelligence
- Existing-infrastructure assessment
- Multi-site visibility
- Pan-India deployment support
From passive recording to active intelligence
Build intelligence on top of the surveillance foundation you already have.
Conventional CCTV remains essential for recording and investigation. SHIVMUDRA adds a configured intelligence layer that brings selected operating conditions to authorised attention.
- Observes configured conditions
- Generates structured events
- Preserves relevant evidence
- Brings situations to authorised users
ILLUSTRATIVE CAMERA VIEWCAM / 04
01Scene
A suitable camera observes the real environment.
Capability universe
One intelligence platform. Five operational pillars.
SHIVMUDRARetail & customer experience
Understand flow, service pressure and opening routines across suitable views.
People CountingQueue MonitoringCrowd DetectionCustomer Unattended DetectionStore Opening-Time Deviation
Industry intelligence
Different environments. Different rules. The same disciplined path to attention.
These are illustrative operating scenarios, not customer case studies. Site assessment determines which capabilities are technically suitable.
Example operational scenario
Stores balance customer flow, staff availability, opening discipline, loss prevention and network-wide review.
1
Queue persists
2
Structured event
3
Evidence reaches authorised user
4
Team assesses staffing
- People Counting
- Queue Monitoring
- Customer Unattended
- Opening Deviation
- Intrusion
- Infrastructure Health
Infrastructure considerationEntrance and counter views need suitable height, perspective and coverage. Multi-site review also depends on device health.
Complete capability showcase
Observe the operation—and the system supporting it.
SHIVMUDRA does not treat infrastructure health as an afterthought. Analytics are useful only when cameras, recording, storage and communication are understood.
Turn selected scene conditions into evidence-supported events.
- People Counting
- Queue Monitoring
- Crowd Detection
- Customer Unattended Detection
- Store Opening-Time Deviation
- Employee Not at Station
- People Presence in Configured Zones
- Schedule-aware Conditions
- Multi-site Event Review
- Intrusion Detection
- Loitering Detection
- Sensitive-area Crowd Conditions
- Evidence-supported Alerts
Support human-led review where the item and condition are genuinely visible.
- Uniform Compliance
- Head-Cover Compliance
- Glove Compliance
- Site-specific Visual Compliance
SHIVMUDRA also watches the surveillance system supporting the operation.
- NVR Health Monitoring
- Camera Health Monitoring
- HDD Health Monitoring
- Site Communication Visibility
- Multiple analytics on suitable feeds
- Configurable zones, schedules and thresholds
- Structured events and evidence snapshots
- Alerts and incidents
- Multi-site visibility
- Device and system health awareness
- Controlled updates
- Client-specific configuration
- Validated custom analytics and workflows
Surveillance-infrastructure health
When the camera or recorder is unhealthy, silence is not reassurance.
Health awareness helps distinguish a site with no qualifying events from a site that cannot provide the expected video or status.
SiteOperational context
NVRRecording & communication
Camera 01Selected stream
Camera 02Selected stream
HDDRecording storage
Edge intelligenceAnalytics & events
Illustrative system state
Healthy
Expected communication and supported health checks are available.
Custom problem solving
A client’s real problem does not always arrive with a ready-made model name.
If a condition can be observed reliably and converted into a responsible operational rule, SHIVMUDRA evaluates the right way to detect, evidence and escalate it.
01 / 06
Business problem
Start with the operating decision, exception or response that needs improvement.
Not every problem can—or should—be solved through video analytics. Feasibility, limitations and the intended human response are part of the design.
Pan-India deployment capability
Engineered centrally. Deployed across India.
SHIVMUDRA supports installation and deployment across Tier 1, Tier 2 and Tier 3 cities through a structured assessment, configuration and validation process.
Tier 1Tier 2Tier 3
01
Site assessment
02
Camera & NVR review
03
Edge-device installation
04
Configuration & testing
05
User orientation
06
Coverage indicates installation and deployment support—not office or customer locations.Remote monitoring where applicable
The SHIVMUDRA philosophy
Courage is not noise. Intelligence is not spectacle.
SHIVMUDRA brings disciplined attention to the moments that matter.
Observe with purpose
Focus intelligence on conditions that matter operationally.
Think at the edge
Place suitable workloads near the source when that improves privacy and practicality.
Protect client ownership
Client footage, evidence and operational data remain the client’s property.
Keep humans responsible
Authorised people investigate, decide and respond.
Prove before scaling
Assess cameras, define criteria and understand limitations.
Build for reliability
Health, evidence, configuration and maintainability matter alongside detection.
Proof before scale
A proof of concept is an engineering question—not a sales performance.
It establishes whether the condition is observable, the view is suitable, the hardware budget is realistic, the event logic is meaningful and the intended response is practical.
- 01Problem discovery
- 02Site & camera assessment
- 03Selected analytics
- 04Success criteria
- 05Controlled implementation
- 06Observation
- 07Evidence review
- 08Refinement
- 09Production recommendation
A controlled first decision
Bring us the operational problem—not a pre-written AI requirement.
We will assess the site, camera view, infrastructure and intended response before recommending the appropriate SHIVMUDRA approach.