AI-powered video analytics
Transform CCTVinto intelligence.
Neo turns the cameras you already own into a real-time intelligence platform. It detects activity, raises the right alerts, finds any moment in seconds and turns footage into numbers you can act on.
- SecurityDetect. Prevent. Protect.
- EfficiencyOptimize. Improve. Grow.
- InsightsUnderstand. Decide. Succeed.
01 — Why Neo
Beyond traditional video surveillance
Neo transforms conventional CCTV into a business intelligence platform. Using AI — machine learning and computer vision — it analyses live and recorded video and extracts metadata about objects, activities and events.
Move beyond simply recording what happened. Understand what is happening, identify potential risks early and make better-informed decisions — for security, and far beyond it.
- 01 / Find
Searchable
Find any person, vehicle or event in seconds, by camera, time or a plain description.
- 02 / Alert
Actionable
Real-time alerts for exactly the zones, hours and behaviours you set.
- 03 / Measure
Quantifiable
Counts, dwell time, queues and occupancy as numbers you can report on.
Post-event investigations that took hours, or even days, now take minutes.
Every event is stored with a snapshot and found by camera, time, type or a plain description.
What changes with Neo
Three shifts for your business
- 01
Shift from reactive to proactive
Cameras become a proactive tool that detects threats, anomalies and patterns as they happen, so teams prevent incidents instead of reacting.
- 02
Accelerate investigations
Reviewing footage is slow and laborious. Neo instantly pinpoints the people, vehicles, behaviours and events of interest.
- 03
Turn insight into business impact
Neo tracks customer and visitor patterns to inform decisions that improve daily operations, staffing and layout.
02 — How Neo works
From raw video to a decision, in real time
01Input
Connect
Your existing IP/RTSP cameras, NVRs, webcams or recorded video.
02Vision
Detect
AI identifies people, vehicles and objects and tracks every movement.
03Logic
Apply rules
Zones, tripwires and IF / AND / OR conditions, on your schedule.
04Output
Act
Instant alerts, searchable events with snapshots, business reports.
Works with
- IP / RTSP cameras
- NVR / DVR streams
- USB webcams
- MJPEG / HTTP streams
- Recorded video files
03 — The platform
One platform. Every capability.
Every module below runs on the same self-hosted engine: one install, one data folder, one model pool — no cloud account, no per-camera subscription.
Live camera wall
Up to 16 cameras per screen with live people counters.
Powerful AI · real-world results
The whole AI toolbox, on every camera
- 16cameras per screen
- 250+AI models to choose from
- 9ready business reports
- 0footage sent to any cloudOn-premises
10 AI tasks · pick one per camera or per rule
Hover or use the arrow keys to previewObject detection
A box around every person, vehicle and object, each with a confidence score.
04 — Search
Find any moment in seconds
Every event is kept with an annotated snapshot and can be filtered by camera, type and time.
- #10.94matchGate cam
- #20.88matchGate cam
- #30.81matchLoading bay
Matching events, ranked, each with its snapshot. Each event can also get an automatic written description.
Spaces and dashes ignored, so “LEB 1234” finds “LEB-1234”. Export results to Excel.
Excel exportAll AI runs locally on your own hardware. Nothing is sent to a cloud service.
05 — In the real world · Restaurants
Friday night, 60 seats, one Neo
Four cameras cover the floor, the counter, the kitchen and the door. Neo watches all of them, so the manager can watch the guests.
- Guest
- Staff
- Table zone
- Tripwire
- Free seat
The day after
Next morning, the owner sees
- 01
Seat use per table
Which tables earn their space and which sit empty.
- 02
Walk-aways by hour
The worst hour and average wait, to plan staffing.
- 03
Guests waiting
How often guests waited for service, and for how long.
- 04
Footfall and peak
Arrivals and the busiest hour, vs last Friday.
- 05
Street-to-door
The share of passers-by who walked in.
Ready-made restaurant rule templates · set up in minutes
- Table session
- Waiting for service
- Table left with dishes
- Queue → Counter walk-aways
- Kitchen without hairnet
- Rush / too many people
- Person after hours
06 — Reports
Reports that answer real business questions
Queue walk-aways · Counter queue
Last 7 days · average per hour · sample report
- Joined queue
- 1,181
- Served
- 1,089
- Walked away
- 92
- Avg. wait
- 2:40
| Hour | Walk-aways |
|---|---|
| 10:00 | 0.3 |
| 11:00 | 0.5 |
| 12:00 | 1.1 |
| 13:00 | 2.4 (peak) |
| 14:00 | 1.3 |
| 15:00 | 0.5 |
| 16:00 | 0.3 |
| 17:00 | 0.4 |
| 18:00 | 0.7 |
| 19:00 | 1.4 |
| 20:00 | 2.2 (peak) |
| 21:00 | 1.2 |
| 22:00 | 0.5 |
| 23:00 | 0.3 |
What it tells you
Walk-aways peak at 13:00 and 20:00. Open a second till at lunch and dinner.
9 ready-made reports
Report · the question it answersHow many came in and went out, at every entrance combined?
How many people are inside right now, and at peak?
How long do people stay, and when is each area busiest?
Which areas are busy at which hour of the day?
How many gave up waiting, how long was the wait, and when?
What share of passers-by actually walked in, hour by hour?
Which tables earn their space, and how full are they?
Every alert: loitering, entries, crossings, rule matches, camera offline.
What happened, on which camera, and when?
07 — Across industries
One platform. Many possibilities.
Every site asks a different question. Neo answers it from the cameras already on the wall.
Retail and stores
“Is the new window display bringing people in?”
Street-to-door conversion · heatmaps · footfall
Offices and buildings
“Who walked into the server room at 2 am?”
After-hours alerts · live occupancy · room use
Schools and campuses
“Was anyone at the back gate during lessons?”
Gate counts · loitering · out-of-hours intrusion
Factories and warehouses
“Is everyone on the dock wearing a helmet?”
PPE checks · danger zones · blocked exits
Parking, gates, logistics
“When did truck LEB‑1234 arrive and leave?”
Plate log · vehicle counts · overstays
Critical sites, utilities
“Is anyone near the perimeter fence tonight?”
Perimeter rules · intrusion · fully on-site
Also used in hotels, banks, clinics, events and venues, fuel stations and shopping malls.
08 — Getting started
Start with the goal, not the tech
| Objective | Goal | How Neo does it | Success metric |
|---|---|---|---|
| 01Security | Cut investigation time, resolve incidents faster | AI search and tagged events find footage instantly | Hours spent reviewing footage |
| 02Safety | Fewer injuries, better protocol compliance | PPE checks and danger zones at docks and machines | Injury reports and violations |
| 03Efficiency | Higher productivity, better use of space | Flow, queues, bottlenecks and process checks | Throughput, wait time, space use |
Tie analytics to measurable outcomes and the return is easy to prove.
Deployment
Built to fit your site
- 01
Use the cameras you have
Most IP cameras work as they are. Add light where scenes are dark.
- 02
Built in, and extensible
Everyday analytics out of the box; 250+ models for special needs.
- 03
Deploy your way
A PC on site, a server in your rack or a private cloud server you control.
- 04
Sized to your site
A GPU for many cameras in real time, CPU for smaller sites.
- 05
Future-proof, no lock-in
Built on open AI models, not one vendor’s ecosystem.
- 06
Responsible by design
Footage stays on-site, passwords never stored in plain text.
- Inputs
- IP / RTSP, NVR, webcams, MJPEG, files
- Runs on
- Windows, Linux, macOS, Docker
- Your data
- On-premises, retention you set
- Access
- Any browser, desktop or mobile
09 — Your cameras. Your move.
Turn videointo value.
Your cameras already see what happens. Neo helps you understand what it means. Upgrade from passive surveillance to proactive security and data-driven operations.
- Safer people
- Smarter operations
- Greater value
See it on your own cameras