Airports and transport hubs
Watch passenger numbers in waiting areas, entrances, boarding zones and other busy places.
How the sector deploys itCrowdSentinel AI
Watch how busy every part of a site is getting across all your CCTV cameras. Give each area the limit that suits it, and get an alert the moment one of them goes over
CrowdSentinel AI · workspaceCamera feeds connected
4 cameras · monitored areasno markings
- Feeds
- Areas
- Counting
- Checked
- Alert
What is watched
- People per areawaiting
- The area's limitwaiting
- Continuous watchwaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
What it is
Crowd monitoring and alerts across every camera on a site
CrowdSentinel AI keeps track of how busy each part of a location is getting, working across all the CCTV cameras you already have. Every area you watch can carry its own limit on how many people belong in it, and an alert is raised when the number in that area goes past the level allowed.
It replaces the job of watching screens and judging crowd size by eye, which is the part that gets hardest exactly when it matters most.
Limits are set for each area on its own, so an alert tells you the specific place where numbers have gone too high.
- Watch how busy things are across several CCTV cameras at the same time
Every camera at once
Watch how busy things are across several CCTV cameras at the same time
- Give every area you watch its own maximum number of people
A limit per area
Give every area you watch its own maximum number of people
- An alert when an area goes above the level allowed for it
Alerts raised for you
An alert when an area goes above the level allowed for it
- The areas you chose stay watched for as long as you need
Watching without a break
The areas you chose stay watched for as long as you need
How it works
How CrowdSentinel AI works
- 01
Cameras across the site
Several CCTV cameras covering different parts of a location are watched at the same time.
- 02
Areas inside each view
Each camera view is read as the specific areas marked within it, and each one is watched independently.
- 03
People counted per area
The number of people inside each watched area is kept track of continuously.
- 04
Checked against the limit
Each area's count is compared against the maximum you set for that area.
- 05
An alert names the area
Going over the limit raises an alert naming the area, while numbers are still climbing.
CrowdSentinel AI · workspace01 Cameras across the site
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Cameras across the site
Several CCTV cameras covering different parts of a location are watched at the same time.
- 02
Areas inside each view
Each camera view is read as the specific areas marked within it, and each one is watched independently.
- 03
People counted per area
The number of people inside each watched area is kept track of continuously.
- 04
Checked against the limit
Each area's count is compared against the maximum you set for that area.
- 05
An alert names the area
Going over the limit raises an alert naming the area, while numbers are still climbing.
Product exclusiveness
What sets CrowdSentinel AI apart
The capabilities below are the ones that decide whether a crowd is managed or merely observed
Every camera watched together
Interface simulation: an illustration of the workflow, not a live analysis
Market comparison
CrowdSentinel AI compared with watching CCTV screens
Watch crowds across several cameras
- Watching CCTV screens
- Yes: Supported
- CrowdSentinel AI
- Yes: Supported
Count people in a watched area
- Watching CCTV screens
- No: By eye
- CrowdSentinel AI
- Yes: Done for you
Set a separate limit per area
- Watching CCTV screens
- No: Not available
- CrowdSentinel AI
- Yes: Supported
Notice an area getting too full
- Watching CCTV screens
- Partly: Judged by eye
- CrowdSentinel AI
- Yes: Supported
Alerts raised automatically
- Watching CCTV screens
- No: Not available
- CrowdSentinel AI
- Yes: Supported
Several areas watched at once
- Watching CCTV screens
- Yes: Supported
- CrowdSentinel AI
- Yes: Supported
Watching without a break
- Watching CCTV screens
- No: Depends on staffing
- CrowdSentinel AI
- Yes: Supported
Names the area that went over
- Watching CCTV screens
- No: Checked by hand
- CrowdSentinel AI
- Yes: Supported
Awareness while numbers climb
- Watching CCTV screens
- Partly: Limited
- CrowdSentinel AI
- Yes: Supported
The architecture
Many cameras, many areas, one limit each
The pipeline above is a straight line. This is the fan it flattens: where each area gets judged against its own setting.
- CCTV cameraCovers one part of the location
- CCTV cameraCovers another part
- CCTV cameraWatched at the same time
Camera feeds
Monitored areas
Each area read independently
- One camera view can carry more than one area
- People counted per area, continuously
- Each count compared with that area's limit
- Busy and smaller areas managed separately
One limit per area
An alert in one area does not depend on the crowd level in another.
- Alert naming the areaRaised while crowd levels are still rising
- Real-time crowd awarenessWhere levels are becoming a concern
Use cases by sector
Where organisations put it to work
Railway stations
Keep track of how busy platforms, entrances and other high traffic areas are getting.
Shopping centres
Watch crowd levels at entrances, in food courts, along corridors and across other busy sections.
Events and concerts
Help organisers watch crowd sizes across different sections and respond when one area gets too full.
Stadiums and sports venues
Watch numbers around entrances, exits, seating areas and other parts of a venue.
Religious and public gatherings
Help authorities keep track of crowd levels across large gathering areas and see where numbers are climbing.
Industrial and corporate sites
Watch specific sections of large facilities where keeping numbers under control matters.
Deployment strategy
Connect the cameras, set the limits, watch the crowd
01 · Connect the cameras
Interface simulation: an illustration of the workflow, not a live analysis
Deployment model
CrowdSentinel AI works across several CCTV cameras covering different parts of a location. Each area can be given its own limit, so the same setup suits both a large concourse and a small room.
Three things crowd monitoring has to get right
Which area an alert belongs to, when it reaches the people who can act, and how much of the site is covered
- Watching area by area
- Every area carries its own limit, so an alert in one place is not affected by how busy anywhere else is.
- Alerts that point somewhere
- Alerts are raised automatically when an area goes over its level, which sends staff to the place that needs them.
- The whole site, not one camera
- Several cameras and areas are watched together, which gives a broader picture of conditions across the location.
Frequently Asked Questions
You set a maximum number of people for each area according to its size and use. The number inside that area is counted continuously, and an alert is raised when the count goes above the limit you set.
Yes. Each area carries its own maximum, so a busy concourse and a small room are managed against what each can hold. An alert in one area does not depend on how busy another is.
Several, covering different parts of a location. Each camera view can also be divided into more than one area, so a single camera can carry several watched areas.
No. The areas you chose stay watched throughout, which removes the need for staff to keep counting by eye. Alerts arrive while numbers are climbing rather than being found afterwards.
Yes. Areas are watched independently, so an alert names the exact place where numbers have gone too high and staff can go straight there.
Three things. Connect the CCTV cameras covering the places you want watched, divide each view into the areas that matter, and set a maximum number of people for each of them.
The rest of the line
More in Video Intelligence
Where it runs
Industries deploying CrowdSentinel AI
Each sector page covers the threat model, the controls, and the regulators that apply.
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