Live industrial CCTV view of a truck being unloaded at a warehouse loading bay, with workers carrying bags
Industrial CCTV. Reimagined with AI. Edge AI · NVIDIA

Turn Every CameraInto Intelligence.

MachVizyon Private Limited transforms existing CCTV and NVR infrastructure into real-time industrial intelligence — detecting, tracking, counting and monitoring what matters.

Book a Live Demo See how it works
Camera AI Intelligence
Existing CCTV & NVRConnects over RTSP. No new cameras.
Edge AI on NVIDIAJetson or GPU servers, on site.
Video stays on-siteWorks without internet.
24×7 monitoringEvery camera, every shift.

Your cameras already see everything. We make them understand it.

01 — Raw CCTV

It starts with the camera you already have.

A normal RTSP stream from an existing IP camera or NVR channel. No new hardware on the pole, no change to your recording.

02 — Detection

Every truck, person and bag — detected.

Custom-trained models find the objects that matter on your site, frame by frame, on a GPU at the site.

03 — Tracking

One ID per object. Counted once.

Multi-object tracking keeps the same ID on each object as it moves, so nothing is double-counted or missed.

04 — Counting

Zones and lines turn motion into numbers.

Draw an unloading zone and an IN / OUT line on the live video. Every bag that crosses is tallied against the truck it came from.

05 — Decision

Context, not just boxes.

Truck, zone, status and count are combined into a live state your team can act on — without watching the screen.

06 — Alert

The right event, to the right people.

Events, violations and camera disconnects raise alerts. Every count is backed by recordings and an event log, and a daily report lands by email.

CCTV view of truck unloading at loading bay
CAM 03 --:--:--
Loading bay no.3
The platform

From camera feed to live intelligence.

One platform connects to the cameras a site already has, analyses video on a GPU at the site, and delivers results as live views, alerts and reports.

01

CCTV / NVR

Existing IP cameras and NVRs, connected over RTSP.

02

AI Processing

Hardware video decode and real-time GPU inference at the site.

03

Detect · Track · Count

One ID per object. Zones, lines and events on live video.

04

Insights

Live view, dashboards, alerts, reports and evidence.

Object detection

Trucks, bags, people, vehicles and custom classes trained for your site.

Multi-object tracking

Each object keeps one ID, so it is counted once.

Zones & counting lines

Draw ROI on live video. IN / OUT counts per zone and line.

Multi-camera monitoring

Grid view with AI overlay and 24×7 recording.

Real-time alerts

Events, violations and camera disconnects, as they happen.

Dashboards & reports

Live KPIs and a daily Excel report by email.

AI vision, in 3D

Machines. Cameras. AI. Data.

Every camera view becomes a live map of what is happening on the floor — which objects are where, where they are going, and what has been counted.

01
Machines & materialConveyors, trucks, bays and people on the floor.
02
Cameras seeExisting CCTV covers each zone of interest.
03
AI understandsObjects detected, tracked and counted across lines.
04
Data flowsEvents stream to the edge GPU and on to your dashboard.
Move the mouse · scroll to fly through
What we see

One platform. Many industrial use cases.

The detection, tracking, counting and alerting platform stays the same. Each new object type gets a model trained on your site's own footage.

PPE detection: worker without helmet and vest flagged red, worker with helmet and vest marked compliant
Illustrative visual

Industrial Safety & PPE

Detect helmets, safety vests and restricted-zone entry in real time — and flag violations the moment they happen, with a snapshot for the record.

Explore solution
  • Helmet and safety-vest checks per person
  • Restricted and PPE-required zones
  • Instant alerts with image evidence
CCTV view of a truck docked at unloading bay 1 with AI detection
Live deployment view

Vehicle & Truck Intelligence

Detect and track trucks across gates, bays and loading areas. Each truck is identified and numbered as it arrives, so every activity can be tied back to it.

Discuss this use case
  • Truck arrival and departure at bays and gates
  • Turnaround visibility per truck
  • Linked with ANPR for gate records
Warehouse CCTV view of stacked bags of different types
Live deployment view

Bag & Object Counting

Count bags, boxes, parts and custom objects — each counted once, per truck and per type — replacing hand tallies with numbers you can trust.

See the live deployment
  • Line and zone based IN / OUT counting
  • Per-truck and per-type tallies
  • Recordings back every count
MachVizyon live output: truck #007 identified and bags counted as they are unloaded in the unloading zone
Real system output

Loading & Unloading

Track truck-wise loading and unloading activity live. The system identifies the truck, watches the unloading zone, and tallies every bag in and out.

See the live deployment
  • Truck-wise loaded / unloaded counts
  • Unloading zone with IN / OUT line
  • Daily Excel report by email
Warehouse entrance CCTV view with after-hours monitoring zone
Real camera · demo overlay

Theft & Activity Detection

Detect intrusion, after-hours movement and unusual activity. Arm zones by schedule and get an alert — with the clip — instead of reviewing hours of footage.

Discuss this use case
  • Scheduled after-hours zones
  • Intrusion and loitering alerts
  • Camera disconnect alerts
ANPR reading a number plate on a car at a gate at night
Illustrative visual

ANPR

Read number plates day and night at gates and weighbridges, building a searchable record of every vehicle in and out.

Explore solution
  • Day and IR night reading
  • In / out gate logs
  • Linked to truck activity
Products moving on an industrial conveyor line
Capability · illustrative visual

Conveyor Monitoring

Watch material movement on conveyors and detect blockage, pile-ups, empty runs and other abnormal events — from a camera, not a sensor retrofit.

Discuss this use case
  • Flow / no-flow and blockage events
  • Item counting across a line
  • Alerts to the shift supervisor
Close-up metal surface with a crack detected by AI
Capability · illustrative visual

Industrial Defect Detection

Detect visible product, surface and packaging defects with models trained on your own good and bad samples — with an image saved for every reject.

Explore solution
  • Cracks, dents, scratches, missing parts
  • Packaging and seal defects
  • Image evidence per defect
Workers around a truck at a loading bay with zone occupancy monitoring
Real camera · demo overlay

Worker & Zone Monitoring

Monitor occupancy and restricted areas — how many people are in a zone, who has entered where they should not, and for how long.

Discuss this use case
  • Live zone occupancy
  • Restricted-area entry alerts
  • No facial recognition required
Industrial machine line seen from an overhead camera
Capability · illustrative visual

Machine Activity Monitoring

Detect machine operating states and events from video — running, idle, stopped, operator present — where adding sensors is difficult.

Discuss this use case
  • Run / idle / stop states from video
  • Operator presence at station
  • Event timeline per machine
Bottles on a production line being counted
Capability · illustrative visual

Production Monitoring

Count products and components across a line and follow process flow shift by shift — so production numbers come from the line itself.

Discuss this use case
  • Per-line, per-shift unit counts
  • Process step verification
  • Exports to Excel reports
OCR reading batch number, manufacturing date and expiry date on a bottle
Capability · illustrative visual

Code & Label Reading (OCR)

Read batch codes, dates, serial numbers and labels from line or CCTV cameras, and flag missing or mismatched prints.

Explore solution
  • Batch, MFG and expiry text
  • Mismatch and missing-print checks
  • Searchable read log
Live four-camera deployment with AI overlays, zones and truck-wise counts
Live · 4 cameras · 3 custom models

Custom Vision Systems

Custom AI models for customer-specific industrial problems. If a person can see it on camera, we can usually train a model to detect it — on your site's footage.

Describe your problem
  • Models trained on your footage
  • Same platform for tracking, counting, alerts
  • Edge, cloud or hybrid deployment
Projects

AI systems built for the real world.

Live deploymentAgro warehouse

Truck-wise bag counting at loading and unloading bays.

Problem
Bags loaded and unloaded per truck were tallied by hand — slow, disputed, and hard to verify after the fact.
AI solution
Three custom-trained models running on site across four existing CCTV cameras: trucks identified and numbered, bags detected and tracked.
Camera view
Loading bays, unloading bay, stock area and mill entrance — the cameras that were already installed.
AI overlay
Unloading zones, IN / OUT lines and live truck-wise loaded / unloaded counts on every feed.
Result
Live truck-wise tallies instead of hand counts, recordings and event logs behind every number, and an automatic daily report.
Four CCTV cameras at an agro warehouse with AI zones and truck-wise loaded and unloaded counts
4 cameras · 3 custom models — live grid with zones and truck-wise counts
Truck #007 identified and 12 bags counted in the unloading zone
Truck #007 — identified, bags counted in the unloading zoneReal output
Solution blueprints

How the platform is configured
for other industrial problems.

PPE compliance check on two workers
Industrial Vision System

Industrial safety monitoring

Problem
PPE and restricted-zone compliance depends on supervisors walking the floor.
Approach
Person and PPE detection on existing CCTV, zone rules per area.
Outcome
Violations flagged as they happen, with snapshots for safety reviews.
Number plate read at a gate at night
Industrial Vision System

Gate & ANPR logging

Problem
Paper gate registers and no link between vehicles and bay activity.
Approach
Plate reading day and night, combined with truck detection at bays.
Outcome
Searchable in / out records and truck turnaround visibility.
Crack detected on a metal surface
Custom Computer Vision Deployment

Surface defect inspection

Problem
Visible defects escape manual inspection on long shifts.
Approach
Defect model trained on the plant's own good and bad samples.
Outcome
Defects flagged on the line, with an image saved for every reject.
Batch code and dates read from a bottle label
Custom Computer Vision Deployment

Code & label verification

Problem
Missing or wrong batch codes and dates reach dispatch.
Approach
OCR on a line camera, checked against the expected print.
Outcome
Mismatches flagged before packing, with a full read log.

Blueprints show how the MachVizyon platform is configured for each problem. They are not named customer deployments.

Operator view

Every camera. Always watching.

A multi-camera grid with AI overlay, live counts and an event stream — in any browser on the site network.

MachVizyon · Site consoleEdge node online
--Streams 4/4 · RTSP--:--:--
CAM 01 loading bay 3
CAM 01Loading bay 3--:--:--
CAM 02 warehouse stock area
CAM 02Warehouse--:--:--
CAM 03 mill entrance
CAM 03Mill entrance--:--:--
CAM 04 unloading bay 1 with truck
CAM 04Unloading bay 1--:--:--

Real camera views from a live deployment. Counts and events in this preview are simulated for demonstration.

Technology & architecture

Edge-first. Built on NVIDIA.

From the camera on the wall to the report in your inbox — seven layers, one system. Select a layer to see what it does.

Layer 1

Cameras

Start with what is already on site. Existing IP CCTV cameras work as they are; USB cameras and recorded video files can be analysed too.

Deployment

Video and data stay on site. Works without internet.

Edge AI

AI that runs where your cameras are.

Video is decoded and analysed on an NVIDIA device inside your network. Decisions happen next to the camera — not in a data centre far away.

  • On-premise processingInference on site, on your network.
  • Low latencyNo round trip to the cloud for each frame.
  • Existing CCTVIP cameras and NVRs you already own.
  • RTSP supportStandard streams, no re-cabling.
  • Data stays on siteWorks without internet.
  • NVIDIA Jetson & GPU serversSized from one camera to many.
  • 24×7 operationEvery camera, every shift.
  • Hardware video decodeGPU decode for multi-camera load.
Site network · on-premise CameraRTSP Edge GPUJetson / GPU AIDetect · track DecisionAlert · count decode TensorRT rules Cloudoptional · reports Video never has to leave the site
Business value

Don't replace your cameras. Make them intelligent.

01

24×7 monitoring

AI watches every camera, every shift.

02

Less manual effort

No hand tallies or manual video review.

03

Safer sites

PPE and zone violations flagged instantly.

04

Higher productivity

Live counts and truck turnaround visibility.

05

Scalable deployment

From one camera to many sites.

06

Evidence on demand

Recordings and event logs back every count.

About MachVizyon Private Limited

AI, Computer Vision, Machine Vision & Industrial Automation.

MachVizyon Private Limited (MachVizyon) is an Indian company specialising in AI, Computer Vision, Machine Vision & Industrial Automation. MachVizyon builds AI computer vision systems for industry. We take the CCTV a site already has and turn it into live data — detection, tracking, counting and alerts — processed on an edge AI device on site.

We work with warehouses, plants and logistics sites, training custom deep-learning models on each site's own footage and deploying them on NVIDIA Jetson and GPU hardware.

Industrial AIComputer VisionVideo IntelligenceEdge AICCTV AINVIDIAMachine VisionIndustrial Automation
Questions

What factory owners ask first.

Do we need to buy new cameras?

No. MachVizyon works with the IP CCTV cameras and NVRs you already have, over RTSP. USB cameras and recorded video files can also be analysed.

Does our video leave the site?

Not with an on-premise / edge deployment — video and data stay on site, and the system works without internet. Cloud and hybrid options are available when you want central dashboards and reports across many sites.

What hardware runs the AI?

An NVIDIA Jetson edge device or an NVIDIA GPU server on your network. Video is decoded in hardware and models run as TensorRT FP16 engines on the GPU. ONNX and PyTorch models are accepted.

Can it detect objects specific to our plant?

Yes. Each new object type needs a model trained on your site's footage. The detection, tracking, counting and alerting platform stays the same.

How do we see the results?

Live view with AI overlay, dashboards, real-time alerts and an automatic daily Excel report by email — in any browser on the site network.

How do we get started?

Book a site survey. We run a live demo on your own CCTV so you can see detection, tracking and counting on your actual cameras before you commit.

Your cameras are already watching. It's time they started understanding.

Book a site survey and a live demo on your own CCTV.

Book a Live Demo Talk to an AI Vision Engineer

See it on your own cameras.

Tell us about your site and what you want your cameras to detect. We'll come back to plan a site survey and live demo.

  1. Site survey of your cameras and use case
  2. Live demo on your own CCTV
  3. Model trained on your site's footage
  4. Edge deployment and go-live
machvizyon.in vaibhavkurrey01@gmail.com LinkedIn · MachVizyon

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