Download IVISION Catalog
01Prepare the view
Define the area and occupancy method.
Compare occupancy across time
Period-level occupancy can reveal peaks and quiet intervals, but only when the underlying estimates and sampling are comparable. Define the interval and baseline, and do not treat missing observations as zero occupancy.
Catalog workflow. Confirm detector availability, permitted use and event delivery for the proposed deployment. Website examples are illustrative.
Assess occupancy time series
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlayThe Process
How It Works
Keep interval gaps and measurement changes visible Plan resources around qualified occupancy patterns.
01
02Assess the observation
Validate interval sampling and aggregation.
03Review the evidence
Review peaks, averages and missing periods distinctly.
04Choose a response
Compare with schedules before changing resources.
Explore Your Options
Explore Related Capabilities
| Dimension |  Time-lapse occupancy analysis |  Time Lapse Zone Analysis |
|---|---|---|
| Observation |  A sequence of occupancy estimates for the same area. | Changes in activity or occupancy within one defined area. |
| Event criteria | Supported aggregation produces interval-level values. | Supported aggregation summarizes observations at agreed intervals. |
| Monitoring setup | Confirm sampling, averaging/peak method, time zone and gaps. | Confirm period, sampling, time zone and missing-data handling. |
| What it cannot establish | Cannot prove exact headcount or continuous absence between samples. | Cannot prove that unrecorded intervals were inactive. |
| Practical outcome | Help planners compare presence patterns across the day or shift. | Help operators compare how a space changes over a shift or day. |
Illustrative demonstration
Review The Event.
Understand The Context.
Example footage and simulated events explain the review workflow. They do not measure detector performance.
Sites overview
Example Activity
No matching events.
Related Scenarios
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EXPLORE WHAT’S POSSIBLE
What Can You Do With Time-lapse occupancy analysis?
01 / 04 · TIME-LAPSE OCCUPANCY ANALYSIS
Offices
Average use hides short peaks.
Example event: A peak interval exceeds the daily average.
Operator response: Review both measures.
Practical value: Improves planning interpretation.
Discuss this capability
02 / 04 · TIME-LAPSE OCCUPANCY ANALYSIS
Hospitality
Demand changes around meal times.
Example event: Occupancy rises in recurring intervals.
Operator response: Coordinate service schedules.
Practical value: Supports period planning.
Discuss this capability
03 / 04 · TIME-LAPSE OCCUPANCY ANALYSIS
Transport
A camera outage creates a gap.
Example event: One interval has no data.
Operator response: Mark it unavailable rather than empty.
Practical value: Preserves trend accuracy.
Discuss this capability
04 / 04 · TIME-LAPSE OCCUPANCY ANALYSIS
Deployment review
Keep the monitored area stable.
Visibility: Lighting changes can affect counts over time.
Configuration: Verify aggregation and timestamp handling.
Privacy: Prefer aggregate series over named histories.
Human review: Check coverage before interpreting a trend.
Discuss this capability
Frequently asked questions
Time-lapse occupancy analysis, Explained.
Summarizes occupancy estimates at defined intervals over a selected period.
Is a missing interval zero occupancy?
No. It may mean no observation was available.
Should peaks and averages be mixed?
No. Label each measure clearly.
Can different sampling intervals be compared?
Only with appropriate normalization and context.
Does this show exact attendance?
No. Occupancy estimates and employee attendance are different.
Find your fit
What are you trying
to achieve?
Help planners compare presence patterns across the day or shift. For Facility planners, Service operations teams.
Workflow to discuss
Time-lapse occupancy analysis + Compare occupancy by period.
