AI CCTV Surveillance Your Cameras Record. Our AI Watches Every Frame.

Conversantech’s AI CCTV surveillance turns the CCTV you already own into an AI observer that reads behaviour, guards restricted zones, detects meaningful events, and creates alerts and reports across every camera, all day.

Input: existing CCTV feed from the counter camera with a uniform violation flagged, plus mask, mobile-usage and sleeping detections from other cameras, all read from your existing NVR AI layer: the AI observation panel analysing four camera feeds, listing uniform, face mask, mobile usage and sleeping detections, restricted zone monitoring and after-hours intrusion status Output: a WhatsApp alert with an event snapshot sent to the store manager, and a daily summary report counting events, violations and behaviour by camera
Event Types
19+
Always Watching
24×7
Deployment Options
3
AI Projects Delivered
85+

The Blind Spot in Every CCTV Room

A camera records. It does not notice. Footage only helps after something goes wrong, and only if someone has hours to scrub through it. The small daily losses never surface at all.

What You Get Today

  • A recording to replay after the fact
  • Evidence, if you know where to look
  • Live tiles nobody watches

What You Never Hear

  • The shutter opened 40 minutes late
  • Someone is on the phone in the kitchen
  • A restricted zone was entered at 02:10

THE PLATFORM

How AI CCTV Surveillance Works, in Three Steps

01

Your Cameras Stay As They Are

Three existing CCTV cameras wired to the existing NVR, unchanged

We read the streams from your existing NVR. No rewiring, no new hardware for your team to learn.

Nothing Gets Replaced
02

AI Watches Every Frame

On-site AI appliance linked to detection, tracking, face recognition and zone rules

An on-site device handles detection, tracking, face recognition and zone rules. Video never has to leave the building.

Runs Fully On-Site
03

The Portal Does The Talking

WhatsApp alert with an event snapshot alongside a portal dashboard with reporting charts

Alerts reach WhatsApp in seconds with a snapshot attached. Dashboards and reports hold the detail.

Evidence, Not Guesswork

DEPLOYMENT

Built The Way Your Site Needs It

Fully On-Premise

Two CCTV cameras connected to an NVR, a local AI appliance and a monitoring display, all inside a single local facility

Everything inside your own network. Nothing leaves the building. The default for vaults and production floors.

Edge + Cloud

Local CCTV and edge AI process video on site; only events and snapshots move up to a cloud-based multi-site central view

Video is processed on site; only events and snapshots sync up. Low bandwidth, central view across many sites.

Managed Cloud

Managed hosted cloud infrastructure connected to customer logins, alerts and structured reports

We host and run the whole stack. You get logins, alerts and reports; we handle the rest.

ARCHITECTURE

One Structure, Any Scale

Hierarchy from Universe (your whole estate: Americas, Europe, Asia) to Group (north, south, east and west regions) to Site (stores 101 to 104) to Camera (a live feed with its zones and a violation flagged)
Universe: your whole estate, split into Americas, Europe and Asia Group: regions or owners, such as north, south, east and west regions Site: a store or factory unit, stores 101 to 104 Camera: a live feed with its zones and a violation flagged

Configured To Your Floor

Any use case on any zone, per-site shift windows, alert routing by role, and the whole interface in English or Spanish.

Operated, Not Just Installed

Device health alerts, over-the-air updates, a full audit log, and role-based access, all managed by us after go-live.

USE CASE 01

AI CCTV for Cafés & Retail Stores

It answers what an owner cannot be there to ask: did we open on time, is the floor being run properly, and is the store really empty when it is locked?

01

What The System Detects

  • Mobile UsageHandset in a work zone
  • SleepingMotionless past a threshold
  • Inappropriate ConductOutside workplace policy
  • After-Hours IntrusionAnyone in, out of hours
  • Staff Entry By FaceArrival marked automatically
  • Store-Empty CheckFloor clear at closing
  • Open & Close TimingFirst entry, final lock-up
  • Uniform ComplianceOn the floor, out of code
  • Face MaskHygiene in food areas
  • Door ActivityCustomer entry patterns
  • Restricted ZonesCounter, safe, stockroom
  • Dwell RulesYour own time limits
02

Red Zones & Blue Zones

Café floor plan: red zones around the safe and the counter trigger instant alerts, while a blue zone around the work area alerts only after 10 minutes

Red Zones: Alert Instantly

Where being there is the problem: the safe, the counter after hours. Cross the line and the alert fires with a snapshot.

Restricted area enteredAlert + snapshot

Blue Zones: Alert After 10 Minutes

Where a short visit is normal but lingering is not. Routine work never creates noise.

0:00 · short visit, no alert10:00
Threshold passed: alert
03

WhatsApp Carries The Headline

WhatsApp notification on a phone: Conversantech alert, after-hours intrusion detected at the main counter at 10:24 PM, with the floor plan attached
04

The Dashboard Carries The Detail

Filter by camera, zone, use case or time. Export any report. English or Spanish.

Dashboard event view filtered by camera, zone, use case and time, showing a uniform compliance event at the counter with evidence snapshot, English and Spanish toggle and a report download button

FROM THE LIVE SYSTEM

Every Alert Arrives With Its Evidence

Every detection arrives as a flagged frame, not a vague notification. The overlay shows the zone and the person at the moment the rule broke, so a manager decides in seconds.

CCTV frame flagging a staff member preparing food at the counter without a face mask
VIOLATION

Mask Violation

Food prep without a mask.

CCTV frame flagging a staff member using a mobile phone behind the café counter
BEHAVIOUR

Mobile Usage Violation

Handset used inside the kitchen zone.

CCTV frame flagging a staff member asleep in a chair behind the café counter
BEHAVIOUR

Sleeping Violation

Seated and inactive during the shift.

CCTV frame flagging a person at the counter who is not in the store uniform
VIOLATION

Uniform Violation

Out of dress code at the counter.

REPORTING

Nine Reports.
Three Audiences.

The same data, tailored for the people who need it. Store, Group and Ops get the right view, without extra noise.

Store Reports

Daily, weekly and monthly insights to keep the store running on track.

Store · Daily

Openings, violations, closing summary.

Store · Weekly

Trends and repeat offences.

Store · Monthly

Compliance score and key metrics.

USE CASE 02

Diamond Manufacturing &
Production Floors

Not what happened, but how the day was actually spent. AI workforce analytics tracks each person across their department's cameras and resolves the shift into three states: Working, Non-Working and Away.

Working

At their position and engaged. Time counts toward output.

Non-Working

In the zone but idle, on a handset or turned away from the work surface.

Away

Outside the work area, measured against the shift so breaks read as breaks.

Exceptions Raised Automatically

  • Arrived Late

    Three days running. A pattern, not a one-off

  • Away Time Rising

    Up 40% on their own previous week

  • Worked 12h+

    Overwork caught before it becomes an issue

  • Below 6 Hours

    Short shifts, by name and department

Why Teams Choose Conversantech

Built for real sites, real people and real work. A surveillance system that fits the way your teams actually operate.

Live CCTV view of staff working in a café kitchenLive CCTV view of a café counter with a detection on a staff member
  • NVR-ReadyNo new cameras
  • On-PremiseVideo stays on site
  • 4-Week PilotSurvey to decision
  • Your Video Never Has To Leave

    The whole stack can run on hardware inside your premises. For vaults and production floors that is not a preference, it is the requirement.

  • Customised To Your Floor

    Zones, thresholds, shift windows and report formats are set to how your site actually runs, not a fixed template.

  • Built For Real Conditions

    Fisheye lenses, poor light, night footage, overlapping people. Calibrated on live site footage, not clean datasets.

  • Two Industries In Production

    Cafés and diamond units are running today. The engine transfers to any floor where people, zones and time matter.

How We Engage

  • Pilot on one site, a limited camera set
  • Calibrated on your footage, not a demo reel
  • Scale camera by camera, site by site
  • Training and ongoing tuning included

What You Own

  • Your footage, on your own infrastructure
  • Every event, report and export
  • Configuration you can change anytime
  • No lock-in on data formats

A Pilot Runs In Four Weeks

From site survey to real numbers on your own floor, a working pilot in four weeks.

  1. Week 1 · Survey

    Camera audit and zone mapping.

    Two engineers inspecting a ceiling-mounted dome camera on a factory floor
  2. Week 2 · Live

    Device installed, first alerts flowing.

    Industrial dome CCTV camera mounted over a modern factory floor
  3. Week 3 · Tuning

    Thresholds refined on your feedback.

    Laptop showing an industrial CCTV monitoring dashboard with detection filters
  4. Week 4 · Decision

    Real numbers from your own floor.

    Example pilot report with illustrative values: 320 people tracked, 12 active zones, 72% work time, 18% non-working and 10% away
FAQ

Questions Before You Put AI On Your Cameras

Clear answers about cameras, privacy, alerts, deployment and how we validate the system on your own site.

What is AI CCTV surveillance?

AI CCTV surveillance is software that watches your existing camera feeds in real time and turns what it sees into events: behaviour, restricted-zone entries, attendance and opening or closing checks. Instead of storing footage for someone to replay later, it sends an alert with a snapshot the moment a rule is broken and compiles the day into reports for store, group and operations teams.

Do we need to replace our existing cameras or NVR?

No. Conversantech reads the streams from your existing NVR, so your cameras can stay as they are. There is no need to rewire the site or replace the CCTV system your team already uses.

Does our video have to leave the building?

No. The fully on-premise option runs detection, tracking, face recognition and zone rules on a device inside your own network, so footage never leaves the site. If you want a central view across many sites, the Edge + Cloud option processes video locally and syncs only events and snapshots. A managed cloud option is also available.

How is staff privacy handled, and is face recognition required?

Face recognition is used only for the use cases you switch on, such as marking staff arrival, and every use case is configured per zone and per site. With the fully on-premise option, video and face data stay on hardware inside your own network, and access is role-based with a full audit log. During the site survey we agree which cameras, zones and use cases are in scope so the setup matches your workplace policy and local privacy rules.

What can the AI actually detect?

More than 19 event types, including inappropriate conduct, mobile phone use in work zones, sleeping or inactivity on shift, uniform and face-mask compliance, after-hours intrusion, restricted-zone entry, dwell time, door activity, staff arrival by face, opening and closing times, and store-empty checks at closing. Each use case is switched on per zone and per site.

Which cameras and NVRs does it work with?

It reads the video streams from the NVR you already have, so in most sites no cameras are replaced. In week 1 of the pilot we audit your cameras and NVR, confirm the streams can be read, and map each camera to its zones before anything is installed.

How do Red Zones and Blue Zones work?

Red Zones are areas where simply being there is the problem, such as the safe or the counter after hours: crossing the line triggers an instant alert with a snapshot. Blue Zones are areas where a short visit is normal but lingering is not, so an alert fires only after a time threshold you set, for example 10 minutes. Routine work never creates noise.

How are alerts delivered to the right person?

Alerts reach WhatsApp within seconds with a snapshot of the event attached, and they are routed by role, so store managers, group managers and operations each receive what is relevant to them. Every alert is also logged to the dashboard, where it can be filtered by camera, zone, use case or time.

Can access, zones, shifts and alert rules be different for each site?

Yes. Zones, thresholds, shift windows, alert routing and role-based access are configured for each site, and the interface is available in English or Spanish. The same structure scales from a single camera to sites, regions or owner groups, and your whole estate.

What reporting does the system provide?

Nine views for three audiences. Store reports cover daily openings, violations and closing, weekly trends and repeat offences, and a monthly compliance score. Group reports give a multi-store daily snapshot and a monthly store-by-store ranking. Ops reports track device health, detection accuracy and fleet performance. Live alerts run alongside, routed by role, and any report can be exported.

How long does it take to validate the solution on our site?

A pilot runs in four weeks. Week 1 is a site survey with a camera audit and zone mapping, in week 2 the device is installed and the first alerts flow, in week 3 thresholds are tuned on your feedback, and in week 4 you decide based on real numbers from your own floor. It starts on one site with a limited camera set.

How accurate is it, and how do you avoid false alerts?

Detection is calibrated on footage from your own site, including fisheye lenses, poor light and night footage, rather than clean datasets. In week 3 of the pilot thresholds are tuned on your feedback, and Blue Zones only alert after a time limit you set, so routine work does not create noise.

How much does AI CCTV surveillance cost?

It depends on the number of cameras and sites, the use cases you need and whether you choose on-premise, edge + cloud or managed cloud. We scope it after the camera audit and start with a four-week pilot on one site with a limited camera set, so you see real numbers before committing.

Get Started

Tell Us What Your Cameras Should Be Catching.

Send us your camera list and we will map the use cases onto it, then demo on your own site type.

  • Pilot on one site, a limited camera set
  • Calibrated on your footage, not a demo reel
  • Scale camera by camera, site by site

Book your site demo

New: AI Role-Play Training. Your team practises against AI buyers before the real call. AI Role-Play Training See how it works → See it →

Conversantech Home

Automated Workflows That Cut 60% of Processing Time

Solution Overview:

Manual processes were slowing down a growing business. Conversantech implemented N8N-based automation and AI logic to replace repetitive tasks with fast, scalable workflows.

Key Features:

Business Challenges:

Our Proposed Solution:

We built a smart automation system powered by N8N and AI logic that connected the client’s existing tools. The system automatically detected task triggers, processed them based on defined conditions, updated relevant platforms, and notified the team — all without human intervention.

Conclusion:

The company saw a 60% reduction in task processing time, eliminated errors, and empowered their team to focus on growth instead of admin. The result: higher productivity, faster turnaround, and scalable internal operations.

Want to streamline your operations with automation?

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