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Resurgenix - Video Intelligence Layer
AI Video Intelligence

Your cameras already see. Resurgenix helps them understand.

Resurgenix adds an AI layer to existing CCTV infrastructure, giving security and operations teams real-time event detection and immediate alerts instead of hours of passive footage.

Works with compatible existing IP cameras, NVRs and RTSP streams. Compatibility is validated during technical assessment.

SYSTEM OVERVIEW

What Resurgenix can do

A 60-second architectural overview explaining how the Resurgenix intelligence layer connects to existing camera infrastructure to deliver sub-second event alerts.

Technical product walkthrough (Illustrative video asset)

Illustrative visualization. Actual production deployments depend on site camera angles, lighting conditions, and network assessment.

Read complete video transcript (60 seconds)

1. Most organizations already have hundreds of cameras.

2. But cameras only record. Someone has to be watching at exactly the right moment.

3. Your cameras already see.

4. Resurgenix adds an AI layer on top of the cameras you already have.

5. It detects people, vehicles and restricted-zone entries in real time.

6. The right person is alerted, with the evidence, at the right moment.

7. From factories and warehouses to hospitals and cities.

8. Your cameras already see. Resurgenix helps them understand. Dekhe bhi, samjhe bhi.

DPIIT Startup India Certificate of Recognition for Resurgenix Technologies Private Limited
Startup India#DIPP253964

DPIIT-Recognized Startup

Department for Promotion of Industry and Internal Trade (DPIIT), Government of India

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Certificate of Participation for Resurgenix Technologies Private Limited at Bharatiya Vyapar Mahotsav 2026
Bharatiya Vyapar Mahotsav 2026, New Delhi#BVM000SP02

Exhibitor, Bharatiya Vyapar Mahotsav 2026

Bharatiya Vyapar Mission

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Participation in programs, expos and recognitions listed here does not imply endorsement, procurement or partnership with any government body.

THE OPERATIONAL GAP

Eyes everywhere, limited intelligence behind them

Most commercial and industrial facilities have invested heavily in camera coverage, but passive recording creates critical operational vulnerabilities.

!

Post-Incident Forensic Scrubbing

Security teams spend hours rewinding multi-channel NVR footage after a theft, breach, or safety accident has already occurred, rather than preventing it in progress.

Forensic delay: 2 to 8 hours to find single breach events
!

Screen Fatigue & Human Monitoring Limits

Operators watching 16 to 64 camera monitors simultaneously experience cognitive saturation within 20 minutes, inevitably missing subtle unauthorized entries and perimeter line crossings.

Human attention drops significantly after 20 minutes of continuous screen monitoring
!

Unenforced Restricted Zones

Hazardous manufacturing sections, IT server rooms, and warehouse inventory vaults remain unguarded when security personnel are patrolling elsewhere on campus.

Unnoticed breaches often go undetected until physical stock audits
!

Prohibitive Hardware Rip-and-Replace Costs

Proprietary smart cameras and closed foreign VMS solutions require organizations to scrap functioning optical hardware and run expensive new structured cabling.

Traditional upgrades cost 4x to 10x more than edge software layers
!

Cloud Video Streaming Bandwidth Bottlenecks

Streaming dozens of continuous 1080p feeds to public cloud servers congests corporate WAN connections and introduces regulatory compliance risks under Indian data protection frameworks.

Continuous cloud streaming demands 2–4 Mbps per camera channel
!

Fragmented Multi-Site Surveillance

Branch facilities, manufacturing plants, and regional offices operate isolated DVRs without centralized health tracking or unified incident visibility.

Zero consolidated operational visibility across distributed campuses
THE RESURGENIX ARCHITECTURE

Building the brain of the eyes

Resurgenix deploys an intelligent vision software layer on local edge servers or centralized on-premise compute. By ingesting standard RTSP video feeds from your existing CCTV cameras, our computer vision models detect and classify critical operational events in real time.

Dekhe Bhi, Samjhe Bhi.
01
Existing CCTV

Compatible IP cameras, NVRs, and RTSP streams

02
AI Vision Layer

Edge inference appliances or on-prem servers

03
Real-Time Detection

Spatial object, person, and boundary classification

04
Spatial Understanding

Context evaluation against pre-configured rules

05
Instant Alerts

Sub-second notifications via dashboard and webhooks

06
Actionable Intelligence

Auditable incident records and operational logs

Central Security ConsoleLive Node: Local Edge 01
Streams Active: 4 / 4
Events Today: 24
Live Stream FeedsRTSP 1080p @ 15fps
CAM 01 - Server RoomZONE BREACH
Person 94.2%
14:32:10 LIVE
CAM 02 - East GateANPR LOGGED
Vehicle [Commercial]
14:32:09 LIVE
CAM 03 - Yard BayVirtual Fence Active
14:32:08 LIVE
CAM 04 - LobbyNormal
14:32:08 LIVE
Real-Time Incident StreamAuto-Refresh Active
Zone Intrusion Alert14:32:08
Camera 04 - East Boundary
Event ID: EV-1042
Workforce Entry Log14:30:45
Camera 01 - Main Gate Checkpoint
Event ID: EV-1041
Line-Crossing Event14:28:12
Camera 07 - Loading Dock B
Event ID: EV-1040
Stream Health Check14:25:00
Camera 02 - North Perimeter
Event ID: EV-1039
Illustrative interface — Conceptual representation of live security telemetry. No client names or unverified metrics shown.
MODULAR AI PLATFORM

Core platform capabilities

Activate specific computer vision capabilities on your existing streams. Evaluate in a controlled pilot before scaling across facilities.

ModulePilot Available

AI Video Analytics

What it does: Classifies people, vehicles, and objects across multiple simultaneous RTSP camera channels with spatial bounding overlays.

Why it matters: Transforms passive recording feeds into active monitoring streams that automatically highlight noteworthy visual anomalies.

ModulePilot Available

Restricted Zone & Intrusion Detection

What it does: Monitors virtual spatial boundaries and triggers sub-second alerts when unauthorized personnel or vehicles cross defined lines.

Why it matters: Prevents perimeter breaches, unauthorized server room entries, and machinery zone intrusions before physical damage occurs.

ModulePilot Available

AI Attendance & Workforce Intelligence

What it does: Provides contactless workforce attendance verification and zone occupancy tracking using optical verification workflows.

Why it matters: Eliminates biometric smudge errors in industrial environments and maintains auditable, consent-based time-office logs.

ModuleIn Active Development

ANPR & Vehicle Intelligence

What it does: Recognizes vehicle number plates, identifies vehicle types, and logs entry and exit timestamps at access gates.

Why it matters: Automates gate turnaround logging, restricts unauthorized vehicles, and flags unrecognized delivery trucks at logistics hubs.

ModuleIn Active Development

Centralized Video Intelligence

What it does: Consolidates stream health diagnostics, camera online/offline statuses, and multi-facility event logs into a unified dashboard.

Why it matters: Gives regional security operations centers total visibility across distributed branches without manual site checks.

ModuleIn Active Development

Enterprise Security Monitoring

What it does: Delivers end-to-end incident verification workflows, operator audit trails, and role-based access control for corporate teams.

Why it matters: Ensures compliance with internal governance standards and creates structured evidentiary records for enterprise audits.

AI CCTV INTELLIGENCE

See What Your Cameras Understand

Real-time neural analysis operating directly across active camera streams — transforming passive recording into instant attendance, crowd density, vehicle movement, and parking dwell metrics.

Technical product walkthrough demonstrating real-time edge computer vision inference across existing IP CCTV streams.

Capabilities Demonstrated in this Video
DEPLOYMENT LIFECYCLE

From existing streams to live intelligence in five steps

A disciplined engineering workflow designed to validate camera suitability before any operational commitment.

01

Connect Existing Streams

Ingest standard RTSP or ONVIF video feeds from your compatible IP cameras and NVRs without rewiring or replacing optical equipment.

Phase Connect
02

Define Rules & Zones

Draw virtual perimeter boundaries, mark restricted corridors, set operational hours, and specify authorized personnel parameters.

Phase Configure
03

Local Edge Inference

Resurgenix computer vision models process video frames locally on edge hardware, filtering environmental noise and classifying targets.

Phase Detect
04

Sub-Second Dispatch

When a rule breach occurs, the system dispatches instant alerts with snapshot evidence to the security console and designated personnel.

Phase Alert
05

Operational Audit & Action

Security teams verify the event snapshot, log the resolution status, and maintain immutable audit records for compliance.

Phase Review
OPERATIONAL SCENARIOS

Real-world incident detection in action

Concrete scenarios where automated computer vision prevents security oversights across enterprise facilities.

Corporate & BFSI

After-Hours Restricted Corridor Entry

Operational Scenario:An individual enters an executive floor or core data center corridor at 2:15 AM outside authorized operating shifts.
AI Detection Trigger:Spatial boundary tripwire triggers instantly when person bounding box intersects the virtual restricted zone.
Immediate Outcome:Security console sounds visual and audio alert with camera snapshot. Guard dispatches within 30 seconds.
Manufacturing

Industrial Shift Attendance Verification

Operational Scenario:Contractor and permanent workforce enter the plant through designated turnstile lanes during morning shift change.
AI Detection Trigger:Optical camera feed registers authorized personnel entry smoothly without physical touch contact or fingerprint smudges.
Immediate Outcome:Shift roster updates automatically in local database. Time-office eliminates manual attendance discrepancy disputes.
Warehousing

Unregistered Vehicle at Logistics Gate

Operational Scenario:A commercial transport truck approaches the factory loading dock without a prior gate pass entry in the system.
AI Detection Trigger:ANPR module reads number plate characters and checks against authorized delivery schedule.
Immediate Outcome:Gate boom barrier remains closed; security checkpoint receives immediate alert with vehicle classification snapshot.
Heavy Industry

Night-Time Movement in Raw Material Yard

Operational Scenario:Movement is detected near valuable scrap metal or copper stockpiles in a low-light peripheral industrial yard.
AI Detection Trigger:Vision model distinguishes human shape from stray animals or windblown foliage, rejecting false environmental alarms.
Immediate Outcome:Centralized monitoring station receives verified human intrusion alert with zoomed target tracking box.
Critical Infrastructure

Virtual Fence Perimeter Approach

Operational Scenario:An unauthorized individual approaches an exterior boundary wall where physical patrolling occurs only hourly.
AI Detection Trigger:Virtual tripwire drawn 3 meters inside the boundary wall registers approaching trajectory vector.
Immediate Outcome:Proactive alert dispatched before physical climbing or wall breach occurs, enabling preemptive intervention.
Enterprise Security

Camera Lens Tamper & Offline Alert

Operational Scenario:A critical hallway camera is covered, misdirected, or disconnected from the local network switch.
AI Detection Trigger:Health diagnostic module detects sudden frame occlusion, lens blocking, or RTSP stream timeout.
Immediate Outcome:SOC console flags high-priority hardware diagnostic ticket immediately, preventing intentional blind spots.
ARCHITECTURAL ADVANTAGES

Engineered for real-world enterprise infrastructure

A principled alternative to proprietary hardware lock-in and prohibitive foreign licensing models.

1

Works with Your Existing CCTV

Zero camera replacements or proprietary hardware lock-in.

Ingests standard RTSP and ONVIF streams from Hikvision, Dahua, CP Plus, Axis, Hanwha, and other standard IP camera brands.

2

Local Edge Processing for Data Privacy

Video feeds stay inside your corporate perimeter.

Inference executes on local edge servers or on-premise appliances. Raw video never streams over public clouds unless explicitly requested.

3

Sub-Second Alerting vs. Hours of Rewind

Active threat interception instead of historical forensics.

Computer vision models classify spatial events in milliseconds, pushing instantaneous alerts with snapshot evidence to security workstations.

4

Modular Capability Enablement

Deploy only the analytics modules your site requires.

Activate restricted zone detection on perimeter cameras and workforce attendance at entry gates without purchasing monolithic VMS suites.

5

Controlled, Low-Risk Pilot Evaluation

Prove detection accuracy on 3 to 5 cameras before committing.

Structured proof-of-concept program validates stream compatibility, false-alert thresholds, and lighting resilience on your actual site.

6

Engineered in India for Indian Infrastructure

Resilient to challenging lighting, dust, and variable bandwidth.

Developed in Kolkata, West Bengal with direct access to local engineering support, timely firmware updates, and regulatory DPDP Act alignment.

Leadership & Core Team

The Team Building the Intelligence Layer

Engineers, product builders, and business leaders shaping physical surveillance infrastructure into real-time operational intelligence.

1/4
SD
01 / 04

Souryodipto Debnath

Founder & CEOResurgenix Technologies
Leadership Statement

“Driving the vision behind AI-powered infrastructure intelligence and leading product strategy.”

Primary Domain

AI Infrastructure Vision & Product Strategy

Verification Status
Verified Core Team
LOW-RISK EVALUATION

Start with a pilot on your existing cameras

We believe enterprise software should prove its value on your actual camera feeds before you make any capital commitment.

Step 1
Technical Discovery Call

Review camera make/model inventory, network topology, and specific operational pain points.

Step 2
Stream Compatibility Assessment

Verify RTSP stream stability, frame rate, resolution, and lens angle suitability across test locations.

Step 3
Controlled Pilot Deployment

Connect 3 to 5 priority camera feeds to a test instance. Configure spatial zones and detection rules.

Step 4
Operational Review & Metrics

Evaluate detection accuracy, false positive rates, and alert responsiveness with your security team.

Step 5
Enterprise Rollout Plan

Scale across additional camera channels, multi-site branches, and integrated operational dashboards.

Pilot Protocol Notice: Structured pilot programs evaluate 3 to 5 high-priority camera channels. Verification parameters are documented transparently during the technical assessment.
CLEAR ANSWERS

Frequently asked questions

Direct answers to key technical, compatibility, and procurement questions.

Have a custom network or deployment question? Contact our engineering team in Kolkata →
TAKE THE FIRST STEP

Ready to see what this could look like in your organization?

Schedule a 30-minute technical consultation with our engineering team. We will review your existing camera layout and identify high-value pilot detection zones.

Or speak directly with our team in Kolkata: +91 6290985464 | admin@resurgenixtechnologies.com