01
Capture the detail
Follow people and objects, their interactions, waiting times and equipment usage to understand what is happening.
All solutions / 01 Operations and security
SensorSync
Intelligent understanding.
Improve flow and security.
SensorSync combines camera, sensor and operational data in a digital twin of your operation. AI explains delays, flags security events and recommends actions.
Connect movement, timing and equipment activity
See the activity
Understand the space
Follow the journey
02
Understand why
AI breaks performance down into contributing activities and shows where capacity is lost.
03
Know what to change
See recommended actions and compare their effects before your team responds.
Where it helps
Explore it.
Across your operation.
Explore five examples covering queues, lane activity, baggage reclaim, security events and perimeter incidents.
Security lanes / SensorSync
Find what is holding the lane up.
Follow passengers and their trays from preparation to collection. Give staff the context to spot delays and respond to exceptions.
Digital twinDrag to rotate · scroll to zoom. Arrow keys change views. Select an application tab to change applications. Space pauses or resumes movement.
Follow people, bags, trays and equipment in a shared 3D space.
How SensorSync works / Sensor fusion
Different sensors.
One connected picture.
SensorSync applies machine learning to visual information and fuses the results with selected sensors, screening equipment and operational systems in a shared digital twin. Follow the same journey with connected evidence. A foundation for operational superintelligence.
Complementary observations
CCTV
Machine learning on images and video.
LiDAR & depth
Position, distance and movement.
RFID
Tagged objects at known read points.
Equipment & APIs
Machine states and operational events.
SensorSync fusion
One shared digital twin
One 3D space
Illustration of connected observations
Combine the inputs
Bring relevant sensor data together.
Connect related observations
Use location, movement and available identifiers to associate observations with a person, object or event.
Understand the whole event
Bring the journey, interactions and equipment context together for analysis, alerts and source review.
At a security lane
Machine learning analyses images and video of tray loading and interactions. Sensor fusion connects those findings with LiDAR positions, supported RFID tray identifiers, screening records and lane status so staff can review the journey.
Sources, coverage and associations are configured for your site.Designed applications / Find the cause
Understand delays.
Spot security events.
High fidelity data captures individual movements, timings and equipment events. AI connects those details to explain inefficiency, flag security events and recommend responses.
Example / Transport
Why do queues grow when it rains outside?
- 30%
- longer to divest
- +0.2
- trays per passenger
- Rain outside
- Longer preparation
- Growing queues
Cause and effectQueue pressure
Dry weather After rain
Rain starts → queue pressure rises. AI breakdown
Extra coats and umbrellas can slow preparation and need more trays, reducing capacity.
What you can do
Focus screen guidance on coats before checkpoint arrival. Open additional lanes ahead of the forecast peak to match the demand curve.
Example / Retail
Why are checkout queues building?
- Longer transactions
- Fewer customers served
- Growing queues
Cause and effectQueue pressure
Usual conditions Slower checkout
Service slows → queue pressure rises. AI breakdown
Arrivals stay steady, but longer checkout interactions reduce the number of customers served.
What you can do
Compare opening a till or adding support at checkout.
Example / Manufacturing
Where is production time being lost?
- Delayed handover
- Work waiting
- Lost production time
Cause and effectWork waiting
Usual conditions Delayed transfer
Handover delayed → work waiting rises. AI breakdown
Work waits at handover while the next stage is available. Transfer delays leave equipment idle.
What you can do
Review handover routines, equipment availability and staff allocation.
Example / Events
Why is one entrance getting crowded?
- Uneven arrivals
- One entrance overloaded
- Local crowding
Cause and effectEntrance crowding
Usual conditions Uneven demand
Arrivals shift → entrance crowding rises. AI breakdown
One entrance takes more arrivals while another has spare capacity. Route choice concentrates the pressure.
What you can do
Redirect arrivals and compare where staff support is needed.
Example / Critical infrastructure
Why is activity building near a restricted area?
- Repeated approaches
- Longer boundary dwell
- More activity for review
Cause and effectBoundary activity
Usual conditions Repeated approaches
Approaches increase → boundary activity rises. AI breakdown
Repeated visits and longer dwell near a restricted entrance stand out from usual activity. Review routes and access events together.
What you can do
Check access records and linked footage; ask your team to review before escalating.
Review security alerts with NexuSec.
Find the footage that explains the event.
Predictive intelligence / Plan and respond
See pressure coming.
Choose your next move.
Bring observations and changing demand into one picture. Flow supports simulation; React shows the expected impact of responses so your checkpoint team can compare options and choose.
See the flow exampleSensorSync Flow · connected learning
Learning across
the whole picture.
Machine learning fuses diverse data and learns how features interact, informing simulation and options to meet your KPIs.
10nCombinations of connected features
- Environmental data
- Schedules
- Live operations
- Historical data
- Checkpoint configuration
- Screening performance
Flow + React / From measurement to action
Measure the operation.
Simulate what comes next.
Flow measures activity across your operation and uses advanced simulation to explore what may happen next. Operational superintelligence proposes responses and shows their expected KPI impact, helping the checkpoint team choose its next move.
Measure
Connect movements, interactions, timings and equipment activity.
Simulate
Use the digital twin to test passenger load balancing across lanes as demand and capacity change.
Recommend
See the expected impact of each response and choose against your KPI priorities.
Measure what matters
KPI-led decisions.
Queue & journey time
Reduce delaysThroughput
Maintain flowResource use
Balance capacityCompare expected outcomes against the goals you set.
Each response shows its expected impact, helping the checkpoint team compare options and choose its next move. Green is at or below the KPI limit; red is above. Lower is better in this example.
Fits your operation
Start with your needs.
Build on what you have.
Connect any sensor, screening system, equipment or other asset with an interface, including CCTV, LiDAR and RFID. Combine these with existing software through APIs, with processing on site or in the cloud.
Use suitable existing equipment
Keep cameras and equipment that meet the requirement. Add sensors where they provide information you are missing.
Connect the information you need
Connect observations, alerts and operational software so staff can understand events in context.
Keep your team in control
Agree who sees the information, who acts on it and how the system is maintained.
SensorSync AI explains activity, Flow compares plans and React coordinates your team’s chosen response.
We plan coverage and connections, then test and commission the system on site.
SensorSync Nodal
Every connection.
Understood.
Bring sensors, equipment, screening systems and other assets into one workspace through their interfaces. Nodal manages connections, processing and system health.
Connect any source
Connect any sensor or asset with an interface, including equipment and screening systems.
Place processing
Manage processing on site or in the cloud.
Manage health and access
Check node health and manage maintenance and support access.
Lane-specific functions
Keep each journey
connected.
Follow passengers and their trays through the lane. Show staff the ownership link at collection, flag unexpected pickups and retain screening and interaction context.
Passenger ↔ tray
One journey, several trays.
Matching colours show each passenger and their trays staying connected from preparation to collection.
PASSENGER ↔ TRAY / continuously connected
Drag to inspect · Each colour follows a passenger and their trays
PassengerTwo linked traysTwo trays, one connected passenger
PassengerOne linked trayOne tray, one connected passenger
Tray ownership display
Show staff video and images of people interacting with each tray, from loading to collection. A picture flipbook brings together all recorded interactions so staff can review who handled the tray and when.
| Tray | Passenger | Group |
|---|---|---|
| T041 | P014 | G03 |
| T042 | P014 | G03 |
| T043 | P021 | G08 |
Known group associations help staff review companion collection.
Explore the lane functions
Camera tracking can be supported by RFID identity observations and LiDAR spatial measurements where fitted.
From arrival to return
The complete lane picture.
Choose the functions your operation needs and connect the resulting events, records and control decisions.
Passenger journeys
- Follow arrivals across checkpoint cameras.
- Connect each passenger with their trays.
- Record loading and collection interactions.
Ownership and collection
- Show video and images of people interacting with each tray.
- Review all recorded interactions in a picture flipbook.
- Flag unexpected collection for review.
- Consider travelling-group associations.
Screening and review
- Link required tasks to passengers and trays.
- Verify screening and follow-up completion.
- Flag missing evidence and policy deviations.
Tray flow and return
- THMM holds and releases trays around loading checks.
- ETDM controls empty-tray release into return.
- AI lane control selects and controls individual tray movements.
Staff visibility
- Observe staff positions and interactions.
- Support uniform, badge or RFID associations.
- Review coverage and activity.
Operational insight
- Review wait, cycle and occupancy data.
- Combine CCTV, LiDAR and RFID.
- Share records through supported APIs.
SensorSync Edge / Tray checks
Check every tray.
Keep the lane moving.
ETDM and THMM control tray movement through connected lane controls. Camera checks determine when to hold trays and when to release them into return or screening.
DOWNWARD STEREO VIEW
installation · explore the events
Event 1 / 6
Before reclaim
Empty tray detection
ETDM controls tray movement into return, holding trays when items remain or the reclaimer is obstructed, then releasing them once checks pass. Real-time detection identifies coin-sized and partially obscured items across changing light, shadows, glare and reflections.
Performance specifications
25–50,000 luxLighting range
Coin-sizedItems and above
< 500 msDecision latency
2M+AI training images
Shadow tolerant. Stable across glare and reflections. Direct digital I/O to lane control.
OBSERVING
Observe the approaching tray
A downward-facing stereo camera sees the final roller position and the reclaimer together.
- 01Tray position
- 02Tray contents
- 03Reclaimer state
Screening validation / Zero-trust workflows
Verify each task.
Support every clearance.
Check that required screening and follow-up tasks are completed. SensorSync brings the task, its subject and completion evidence together so staff can see what is done and what still needs attention.
Define the required tasks
Apply your procedures to passenger and item screening, additional searches and alarm resolution.
Verify task completion
Fuse machine-learning analysis of visual information with selected sensor, screening and staff records for the correct passenger, tray or item.
Keep exceptions open
Flag skipped, incomplete, out-of-sequence or unverified tasks. Give authorised staff the evidence to review and record the outcome.
One passenger · linked trays · required tasks
- Passenger screeningCompletion recorded
- Tray screeningCompletion recorded
- Required alarm follow-upAwaiting evidence
Clearance pending
The required follow-up remains open until its completion is verified and the authorised outcome is recorded.
A zero-trust approach to task completion. Each required step needs supporting evidence before the workflow is marked complete. Missing or conflicting records remain visible for staff review; your approved procedures and permissions govern clearance and any connected hold or release.
Getting started
What happens
next?
Tell us the problem, your layout and the systems you use. We’ll agree requirements, installation, team responsibilities and how to measure the result.
Talk to NWPRO
Improve flow.
Strengthen security.
Tell us where delays or security events need clearer context. We’ll explore the causes and next steps.