Neurosensor plugs into the cameras you already have and turns them into a live operations tool. Your pilot is live in 4-6 weeks, using hardware you've already deployed, with no internal development project required. Cloud or on-premise, whichever fits your security posture.
HOW IT WORKS
The cameras are already on the walls. That's where we start. Neurosensor, our AI video analytics platform, connects to your existing CCTV and trains a model on the events that matter in your specific business. Alerts go into however your team actually works: mobile, smartwatch, shift handover, or ticketing. After one pilot site proves the metrics, the model scales across cafes, stores, hotels, warehouses, or production floors. No retraining from scratch is required, which keeps AI-powered video analytics viable across large networks.
Step 01
Existing Cameras
We start with the CCTV you have. No new hardware on the floor in most cases. A brief audit confirms what's fit for purpose.
Step 02
Platform and Model Training
Your footage and your defined events become a model trained for your context, not a generic template retooled to fit.
Step 03
Event Detection
The AI video analytics platform flags incidents as they happen, not after the shift ends. Each one includes a timestamped video clip. No vague reports.
Step 04
Trigger and Notification
The right person gets the right alert on the channel they actually check: mobile push, smartwatch, email, or your ticketing system.
DETECTION ARCHITECTURE
These are the detection scenarios our models already run for real clients. They're also a good proxy for the shape of almost any other detection you might need. If your process has a clear "this is fine" and "this isn't," Neurosensor can learn it.
Uncleared Tables in Cafes and Restaurants
Neurosensor sees the moment a guest leaves and starts the clock on the table. If it sits uncleared past your standard, the duty manager gets a nudge. The result is faster turnover and less friction between front-of-house and floor staff.
PPE Compliance on Construction Sites and in Warehouses
Our PPE detection system checks hard hats, hi-vis vests, and safety boots on every person entering the frame. This PPE violation detection system creates incidents with timestamped clips attached, which is a far stronger record than a verbal report.
Empty Displays and Shelf Gaps
AI shelf monitoring detects empty slots in bakery displays, pastry cases, or retail shelves and triggers restocking alerts before a customer notices the gap. Works whether you measure success in missed sales or brand standards.
Unexpected Events in Hotel Corridors
Spills, abandoned bags, doors left wedged open, people acting agitated. A housekeeping round is supposed to catch these things, but typically does so five hours after the fact. Neurosensor catches them in minutes.
Queues and Crowding
Government offices, clinics, bank branches, shopping centre service desks. Neurosensor counts the queue, times the wait, and flags when it crosses your defined threshold before it becomes a complaint.
Process and Presence on Production Floors
Workflow compliance, presence of staff at assigned stations, and unexpected activity where there shouldn't be any. Incidents are tied to the specific station and shift, not the whole facility.
These are examples, not limits. If you can describe the event you care about clearly enough to explain it to a new hire, our team can train the model to see it.
TRIGGERS AND RESPONSES
Every event has its own rules
Detecting the event is only half the job. The other half is: who gets told, on what channel, how fast, and what happens if no one reacts. This is where most AI-based video analytics tools fall short. Our AI-powered video analytics platform lets you configure each scenario independently.
Persistence threshold
How long the condition must persist before it counts as a real incident. This filters noise without losing genuine events
Criticality level
How urgent the situation is rated, from "log it for the daily report" to "escalate immediately."
Shift ownership
The accountable person handles the response, configured in advance per scenario, regardless of who happens to be nearby.
Alert channel
Mobile push, email to a shift group, smartwatch ping, or straight into your ticketing system. Configured per scenario, not applied as a blanket rule.
SLA Enforcement
What happens if the responsible person doesn't respond within the time you set. In most cases, incidents are noticed. The gap is an undefined escalation path. Neurosensor defines it in advance, per scenario.
WHY THIS WORKS
Why clients pick Neurosensor
4-6 w
First 1-3 scenarios trained and running on a pilot site inside six weeks. You see real events, not a demo environment.
0% Dev
Platform and models live on our side. Your team doesn't need to staff a computer vision project to use a computer vision product.
Day 1
SLA, dedicated support, and a clear path from a single pilot to full-network deployment. No retrofitting required.
Flex
Cloud when speed and central control matter most. On-premise when data has to stay inside your perimeter. The same platform either way.
FITS INTO YOUR STACK
API-First.
Fits the tools you already run
If You're an Operator
Incidents from our video analytics software flow directly into your existing stack. No parallel dashboard anyone has to remember to check. Our CCTV monitoring software integrates with the tools your teams already use.
Our CCTV monitoring system software connects to your ERP, CRM, PMS, or BI platform, giving you full data synchronisation across your operation without building anything on your side.
Webhooks
If You're an Integrator or B2B Platform
Neurosensor becomes a module you embed and resell to your own clients, on your terms, under your product. What you get without building it yourself: A computer vision layer with no CV team required No model training pipeline to manage No multi-year build
Property management systems, retail super-apps, and facility management platforms are already doing this. Partnership terms are set up specifically for this model, including revenue share.
CLOUD OR ON-PREMISE
Neurosensor was built as an AI video analytics platform for enterprises from day one. Data security is part of the architecture at every layer. Both formats include encrypted channels, role-based access, and audit logging. The difference is where your data lives and who runs the infrastructure.
FORMAT A
Cloud Platform
Deployed on Neuroshop's secured infrastructure. The right fit for networked operators who want a fast start, easy rollout across new sites, and minimal load on their internal IT team. Built for HoReCa, retail, business centres, shopping malls, manufacturing, and logistics.
KEY CHARACTERISTICS
Rapid Deployment
Automatic Model Updatesn
Central Network
Enterprise SLA
FORMAT B
On-Premise / Private Deployment
The full platform runs on your servers, inside your own security perimeter. Video streams, models, and events never leave your infrastructure. This format is built for environments with elevated confidentiality or regulatory requirements: banks and financial institutions, critical infrastructure operators, government agencies, defence facilities, large corporate headquarters, and healthcare providers with restricted data handling.
KEY CHARACTERISTICS
Data Stays Inside Your Perimeter
InfoSec Policy Compatible
SSO and SIEM Integration
Isolated Network Segments
OFFLOAD
Built to take work off your team, not put more on them
Without Neurosensor
Housekeeper walks a full corridor every 90 minutes looking for spills
Floor manager sweeps the supermarket looking for empty shelves
Safety officer does manual PPE walkarounds on the production floor
Franchise auditor travels to each location for brand-standard inspections
With Neurosensor
Neurosensor detects the spill within minutes and pings the responsible team member directly
Neurosensor alerts the nearest available staff member with the exact shelf location and a short video clip
Every person entering the frame is checked automatically. Violations surface in seconds, not at end of shift.
Video evidence and compliance reports are generated automatically, per location, per shift.
Most alert systems notify the nominal owner regardless of where they are. Neurosensor notifies the responsible team member, based on the channels your team already uses.
UNDER THE HOOD
AI video analytics software for Business Operations
01
New scenarios added incrementally after launch
02
Accuracy improves as your team feeds corrections back into the model
03
Adapts to layout changes, new camera positions, and seasonal lighting without a full reb
Most AI video analytics platforms generate dashboards instead of action. Neurosensor delivers the right alert to the right person through the right channel the moment an incident happens, with a short video clip as evidence.
Unlike generic AI, Neurosensor is trained on your own environment, learning your standards, workflows, and operational conditions for far more accurate detection.
WHO IT'S FOR
Where Neurosensor is a good fit
Hotels
Business centres
Clinics and medical centres
Warehouses and logistics hubs
Banks and financial institutions
High-security facilities
Franchise networks
Any Multi-Site Service Business
