The bottom line up front: Across India, thousands of factories, warehouses, campuses, and government facilities already have CCTV installed. The wiring is done. The cameras are running. But almost none of them are thinking. IndoAI's Edgebox changes that—in 48 hours, at a fraction of the cost of replacement—by bringing certified edge AI to your existing cameras.

The Hidden Opportunity in Your CCTV Room

Most CCTV systems in India today share one costly flaw: they only record. You have infrastructure worth lakhs sitting idle until something goes wrong—and by then, the damage is done. The recording is evidence, not prevention.

What if that same infrastructure could:

None of this requires replacing your cameras. The intelligence lives in the Edgebox—a compact edge AI device that plugs into your existing system and starts thinking for it.

Breaking · Why This Matters Right Now
APR 1, 2026

India bans Chinese CCTV brands including Hikvision and Dahua. New STQC certification rules from MeitY came into effect on April 1, 2026, effectively barring Chinese-origin surveillance cameras from the Indian market. The ban follows national security concerns including backdoor data transmission risks. Sources: Business Standard, MediaNama, Economic Times — March/April 2026

MAR 2026

India's CCTV market projected to reach ₹1.87 lakh crore by 2034, growing at 17.58% CAGR. IMARC Group's latest report values the India CCTV market at USD 5 billion in 2025, with AI-powered analytics and the Smart Cities Mission identified as the dominant growth drivers. Domestic brands now hold over 80% market share as Chinese vendors exit. Source: IMARC Group Market Report, March 2026

What this means for you: If your facility currently runs Hikvision or Dahua cameras, those devices are not going away—existing installations can continue operating. But for AI-powered intelligence, you need a certified, domestically developed layer on top. That's exactly what Edgebox provides.

Passive CCTV vs. Active AI Surveillance

The difference between traditional CCTV and AI-powered surveillance is not a software update—it is a complete operational shift.

Capability Traditional CCTV Edgebox + AI
Event awareness Records. You watch later. Detects and alerts in real time
Fire/smoke detection None Sub-10 second alert trigger
PPE/safety compliance Manual guard checks Continuous automated monitoring
Vehicle number plates Manual log book Automatic ANPR logging
Cloud dependency Optional / varies None — fully on-device
Data privacy Depends on vendor origin 100% on-premise, India-made
Deployment time Weeks to months 48 hours

The Edgebox Approach: Upgrade, Don't Replace

The most common misconception in AI surveillance: "We need to buy all new AI cameras." You don't. The Edgebox is an edge AI compute device that connects to your existing CCTV infrastructure and runs inference locally—no cloud, no bandwidth overload, no infrastructure overhaul.

01

Your Existing Cameras

IP cameras or analog cameras via your existing DVR/NVR. Any brand. Any age.

02

Connect via RTSP / ONVIF

Edgebox ingests video streams using industry-standard protocols. No new cabling.

03

Edge AI Processing

AI models run on the Edgebox hardware. All inference is local, on-device.

04

Alerts + Insights

Real-time alerts, dashboards, reports—delivered to your team and management.

Why This Model Wins in India

₹0

Camera Replacement Cost

Your existing investment is protected. Edgebox upgrades what's already installed.

48h

Time to Live Deployment

No civil work. No long procurement. No downtime. Go live in two working days.

100%

On-Premise Processing

No cloud dependency. Critical for government, defence, BFSI, and enterprise.

~60%

Cost Saving vs. Cloud AI

No recurring cloud storage bills. No high-bandwidth infrastructure required.

Real Use Cases That Start Working Immediately

🔥

Fire & Smoke Detection

  • Sub-10 second alert
  • Pre-fire smoke identification
  • Zone-specific escalation
👷

Worker Safety & PPE

  • Helmet & vest violations
  • Restricted zone entry
  • Shift-level compliance reports
🚛

Vehicle Tracking (ANPR)

  • Automated entry/exit logs
  • Blacklist/whitelist alerts
  • Vehicle audit trail
🧍

Crowd & Access Control

  • Facial recognition attendance
  • Crowd density monitoring
  • Campus perimeter alerts

Who Should Be Acting on This Right Now?

If you already have CCTV installed, you are one integration away from AI. These sectors see the highest and fastest returns:

🏭 Manufacturing plants
📦 Warehouses & logistics hubs
🏙️ Smart city & municipal bodies
🏥 Hospitals & healthcare campuses
🎓 Universities & education institutes
⛩️ Religious institutions managing crowds
⚓ Ports, docks & critical infrastructure
🏗️ Construction & industrial sites

What 48-Hour Deployment Actually Looks Like

Day 1 — Assessment & Integration
  • Remote or on-site survey of existing CCTV topology
  • RTSP/ONVIF stream verification for each camera zone
  • Edgebox hardware placement and network configuration
  • Camera feed ingestion and stream quality validation
Day 2 — Activation & Training
  • AI model deployment for selected use cases
  • Alert threshold calibration per zone
  • Dashboard and notification system setup
  • Security team walkthrough and handover

That's the complete deployment. No contractors, no civil work, no multi-week project plans.

Industry Signal · Market Validation
DEC 2025

CP Plus and Qualcomm launch edge-AI surveillance systems in India, targeting public infrastructure and enterprise sectors. The partnership delivers real-time edge analytics directly on surveillance hardware—validating the market shift away from cloud-dependent AI and toward on-device intelligence. Source: India.com Technology, December 2025

The Real Question to Ask Your Team

You don't need to ask: "Should we invest in AI CCTV?"

The question you should be asking is: "Why are we still running surveillance that only records?"

Every day that your CCTV system operates without AI is a day where a fire alert arrives too late, a safety violation goes undetected, and a vehicle log requires a guard's manual entry. The infrastructure cost is already sunk. The marginal cost of adding intelligence to it—via Edgebox—is low. The cost of not doing it is measured in incidents.

References

  1. IMARC Group. India CCTV Market Size, Share, Trends and Forecast 2026–2034. IMARC Group Market Intelligence Report, March 2026. The market is valued at USD 5.0 billion in 2025 and projected to grow at 17.58% CAGR to USD 22.5 billion by 2034, driven by AI video analytics and Smart Cities Mission investments.
  2. Ministry of Electronics and Information Technology (MeitY), Government of India. Essential Requirements (ER) for CCTV Cameras — Standardisation Testing and Quality Certification (STQC) Framework. Notified April 2024; mandatory compliance effective April 1, 2026. Requires disclosure of SoC country of origin and vulnerability testing for all internet-connected surveillance products sold in India.
Frequently Asked Questions
Yes. IndoAI's Edgebox connects to your existing IP or analog (via DVR/NVR) cameras using RTSP/ONVIF protocols. The AI processing runs entirely on the Edgebox hardware—your cameras continue operating exactly as before, and intelligence is added at the edge layer, not the camera level. No camera replacement is required.
A standard deployment takes 48 hours across two working days. Day 1 covers site assessment and CCTV integration; Day 2 covers AI model activation, alert configuration, dashboard setup, and team training. For large campuses with complex topologies, a phased deployment over 3–5 days may be recommended.
No. Edgebox processes all video locally using on-device edge AI. There is no mandatory cloud dependency, no recurring cloud storage cost, and no high-bandwidth requirement. Optional cloud sync for dashboards and reports can be configured, but the core AI detection works fully offline. This makes it suitable for government, defence, BFSI, and enterprise environments with strict data sovereignty requirements.
Available AI models include:
  • Fire and smoke detection
  • PPE compliance monitoring (helmets, safety vests, gloves)
  • Restricted area intrusion detection
  • Automatic Number Plate Recognition (ANPR)
  • Crowd density and loitering detection
  • Facial recognition (attendance and access control)
Models can be mixed and matched based on your site's specific requirements and can be updated remotely.
Yes. IndoAI's Edgebox is designed specifically for the Indian regulatory environment. All video processing is on-device, supporting data localisation with no cross-border data transmission. As a domestically developed AI platform, it aligns with MeitY's Essential Requirements for CCTV systems and the STQC compliance framework that came into effect on April 1, 2026.
Existing Hikvision and Dahua cameras already installed can continue operating—the April 2026 rules restrict new sales and imports, not existing devices. However, for adding AI intelligence to those cameras, you need a certified edge AI layer. Edgebox ingests RTSP streams from any camera brand, making it the ideal bridge: your existing cameras keep running, Edgebox adds compliant, India-made intelligence on top.
Cost depends on the number of camera streams, selected AI models, and site complexity. IndoAI offers a free 30-minute consultation that includes a custom deployment plan with exact cost estimates for your setup. Book via the link below to get a scoped quote—there's no obligation and no generic pricing.
Yes. IP cameras connect directly via RTSP/ONVIF. Analog cameras connect through your existing DVR/NVR, which exposes an RTSP stream that Edgebox ingests. This means even legacy analog CCTV systems installed years ago can be upgraded to AI without any hardware replacement.

Ready to Upgrade Without Replacing?

If you already have CCTV cameras, you're sitting on untapped intelligence. Let's activate it—in 48 hours.

Book Your Free Demo →
Custom deployment plan Exact cost for your setup Live AI models in action
In today's threat environment, surveillance is no longer about watching footage.
It's about making decisions before damage is done.

The fastest path to that future isn't buying all-new cameras. It's making the cameras you already own smarter—and that's a 48-hour project, not a 6-month capital programme.