See the operation across locations
Organize the relevant cameras and agents by location so the discussion starts with the part of the business you want to understand.
Analytics & reportingUnderstand the pattern behind the momentFrom what your cameras see to how your business performs.
Footfall and queues are just the start. Combine video measurements, configured AI models and operational systems to understand utilisation, throughput, quality, service and risk. We shape the collection fields, models and dashboards around the decisions that matter to your business, including custom development where your operation needs more.
Move from an event to a recurring question
Review queue, occupancy, counting or dwell observations over time instead of drawing a conclusion from one image.
Bring management and the floor together
Use the same event and metric context to discuss coverage, flow and follow-up with the people who run the operation.
FROM CAMERA SIGNALS TO BUSINESS QUESTIONS
What could your cameras tell your business?
Turn a view into useful data. Explore model families for people, service, safety, movement and production. Configure the measurements around your operation—and connect them to the questions that matter.
Observe a defined signalA person, an object, a count or a configured condition.
Structure the informationConnect a model’s output to a time, camera and zone.
Investigate a patternCompare periods, inspect the source and plan a response.
MODEL → METRIC → DECISION
Illustrative datasetFootfall & arrivals
See when people arrive and how demand changes through the day.
A configured counting view supplies passage counts. The example compares two separate entrance views.
Illustrative data · change the location or period to recalculate every metric and report.
THE BUSINESS QUESTION
When should we prepare for the busiest arrival periods?
Passage counts in each observation window.
Observed arrivalspeople
Both example sites · 09:00–12:0015-minute intervals
Interval total. Adds interval values for the selected sites and period.
What this can help you understand
Higher bars show busier arrival periods; the total adds the selected windows and separate sites.
A passage count is not a count of unique customers or verified identities. Overlapping views need duplicate handling.FOLLOW THE NUMBER BACK TO ITS SOURCE
2 example observationsInside this interval 09:00–09:15
Entrance camera
Arrival boundary
- Observed arrivals
- 12 people
Entrance camera
Arrival boundary
- Observed arrivals
- 9 people
WHAT THE MODEL CAN COLLECT
Useful data. Clearly defined.
Observation window
The illustrative records use equal 15-minute periods. These are example records, not customer measurements.
Example09:00–09:15 · illustrativeCamera and monitored area
Every measure belongs to a selected camera, location and monitoring area.
ExampleSite A · selected camera and zoneObserved passages
People counted through the configured entrance or counting boundary during the period.
Example18 observed passagesCounting boundary
The defined entrance or line that gives the count its meaning.
ExampleMain entranceStart with the question you need answered.
Discuss these analyticsWe map the camera, model, collection fields and report to that decision—and validate what works in your environment.
INSIDE OPSYTE
See how the pieces work together.
From a connected camera to an event your team can understand. Explore the decisions and controls behind the experience.
Understand the pattern behind the moment
From what your cameras see to how your business performs.
Footfall and queues are just the start. Combine video measurements, configured AI models and operational systems to understand utilisation, throughput, quality, service and risk. We shape the collection fields, models and dashboards around the decisions that matter to your business, including custom development where your operation needs more.
/Analytics & reportingProduct illustrationScope
Time range
Pattern
Review
An operational question, not a performance claim
Where does service pressure repeat?
Compare the available queue observations across the selected camera, agent and time range. Review the relevant scenes before changing staffing.
A defined operational question01
Start with a decision to improve
Choose a question such as when checkout pressure repeats or which loading zone sees recurring dwell.
The example explains the setup. No live system is changed.
THE FULL SPECTRUM OF OPERATIONAL INTELLIGENCE
Your industry. Your questions. Your intelligence.
Your business question defines where we start. Explore the information we can help you capture, the decisions it can support, and the models or integrations we can build around your operation.
14industries to explore
70analytics starting points
Configured models + custom development
70 ideas for your operation · Select one to explore the data and the solution design.
Retail & malls
Plan around arrival peaks
Connect store activity to availability, service and commercial decisions.
- 01
Capture the signal
Entrance passages by camera, direction and time window.
- 02
Turn it into a measurement
Compare interval counts and the busiest arrival periods.
- 03
Make the decision useful
Align opening teams and checkout capacity with demand.
How we shape the solution
Define counting lines and handle overlapping views; passages are not unique shoppers.
Solution-design examples. We agree camera coverage, training data, system connections and validation for the scope you choose.
PUT IT TO WORK
What this means for your team.
Checkout coverage planning
Compare recurring queue periods with the store’s operating context and review whether coverage needs adjustment.
Loading-bay coordination
Use available dwell and activity observations to discuss a recurring waiting pattern with the dock team.
A review of repeated site events
Compare events by area, time and severity to identify the observations that management wants to investigate further.
A PRACTICAL FIRST STEP
Start with one site. Make the workflow useful.
You bring the operational question. Together, we define the camera coverage, the analysis and what your team should do with the result.
0 / 4preparation items you marked ready
A local planning aid, not a readiness score or a submitted request.Your starting point
Review entry into an exclusion zone
The next page opens an editable inquiry with your selected industry and scenario. No camera credentials or footage are needed here.
Discuss this pilotBEFORE YOU CONNECT
Clear answers. A better starting point.
Understand the practical details before you plan your first deployment.
01What kinds of metrics can we explore?
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Explore people and vehicle counts, occupancy, queue and dwell time, service coverage, zone activity and safety observations. Custom models extend the scope to production throughput, visible defects, material movement, shelf gaps and facility conditions. Connecting operational systems adds measures such as service-cycle times or transaction-to-visit ratios. We define each metric and its data sources with you.
02Can we compare locations?
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Locations organize the monitoring estate. Meaningful comparisons need suitable views and consistent objectives, with differences in layout, hours and operating conditions taken into account.
03Does a camera count equal a sales or conversion metric?
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A camera-derived observation describes what the configured scene can show. Connecting it to transactions, orders or business outcomes requires the relevant data and any agreed integration; the two measures should not be treated as interchangeable.
04Can we use the information in management reports?
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Reporting forms part of the solution scope. We agree the available metrics, event context, report access and useful management views during setup, and validate the required export workflow for your deployment.
05Will analytics tell us why every event happened?
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Patterns help direct attention; the team supplies operational context. Reviewing selected evidence alongside the metrics makes a better starting point for a decision than assuming the chart alone establishes a cause.
Let’s find the moments that matter to your business.
Tell us what your team needs to see, understand or improve. We will help shape the right walkthrough and pilot scope.