CAM-445
Someone has crawled under a trailer
Mid-afternoon on the pre-boarding apron. A worker in a hi-vis vest is checking paperwork in front of the semi-trailer, with his back to everything else. Behind him, between the wheels, a person has crawled under the chassis and is lying still. Nobody can see them: no mirror the driver has reaches there, and the worker is reading the delivery note. IRIS sees the shape under the vehicle and how long it has been there, and alerts while the truck is still parked.
Turn on IRIS Vision
AI-generated image
What IRIS understands
What it recognises in this scene
- person under the chassis
- worker checking the paperwork
- trailer with its doors open
- trailer waiting on the apron
- access control booth
What this camera measures
An alert says something is happening. The reading says how much.
- 1 min 20 sTime under the vehicle
- 9 minHow long the trailer has been stopped
- 5Trailers on the apron
- 2People in shot
- 16:40Time of the alert
The figures on this screen are an example from the illustration, not any client's measurement.
The rule
You decide once. IRIS applies it always.
If
a person goes under a vehicle or between its axles in the pre-boarding area
Then
- alert the shift supervisor and the gate post with the camera and the time
- save the video from the moment the person approached the vehicle
- leave the alert in the shift log so the unit is checked before boarding
The instruction that set it up«Tell me if someone gets under a trailer or between its axles in the pre-boarding area, even if they only stay a moment.»
What changes
What changes for whoever answers for the terminal
For the person in charge of port security this does not start as a control problem: it is a human being who can be crushed the moment the truck pulls away, or shut inside a unit for hours. Today it is only found if somebody thinks to bend down and look before boarding. With the camera, the alert arrives while the vehicle is still parked and the move can still be stopped. Afterwards the video, with the exact minute, stays on file.
What people usually ask
Does IRIS identify the person who got underneath?
No. IRIS does not recognise faces and does not compare them with any database. It detects a situation: there is a person under a vehicle, in an area where nobody should be. What it delivers is the camera, the time and the video. Who that person is, and what happens next, is decided by port staff, with the protocols they already have and with the competent authority.
Why is this an emergency and not just a control problem?
Because a person under a chassis can die there. The moment the truck pulls away they are under the wheels, and if they end up inside a closed unit they can spend days with no air, no water and nobody knowing they are there. That is why the value of the alert is in its timing: it arrives while the vehicle is still parked, not once it has boarded and nothing can be done.
Can IRIS see someone hidden inside a closed container?
No. A camera sees what is in view: someone approaching the unit, going underneath it or stepping in through an open door. Once the doors are shut, no image helps, and that is where the port's inspection means come in, such as scanning or gas detection. IRIS covers the moment before, which is exactly when it can still be prevented.
Other cameras
- CAM-440 · Somebody has come over the perimeter fence
- CAM-441 · Someone is swimming towards the quay
- CAM-442 · A car has sat eleven minutes where nobody ever stops
- CAM-443 · Two trucks, one single barrier opening
- CAM-444 · A container opened outside the working window
- CAM-446 · He walks past the sign to the diesel tank with no helmet
Demo · IRIS at work
A new case each time. Always the same screen.
It plays by itself and shows one case from start to finish. It is a summary: the real screen has far more functions than fit in this box.
- Cameras on the map
- You draw an area
- What passed shows up
Next step
And who watches the cameras?
0 cases, and in every one of them IRIS raises an alert when something happens. You see each image as it is, and then with what it understands on top.
Who watches the cameras of a whole city?
23 cases: 18 raise an alert when something happens and 5 only measure. You see each image as it is, and then with what IRIS understands on top.
And the best part
Nobody covers the night shift:the camera that is already on covers it.
It does not tire, it does not blink and it does not go for coffee. What happens at night is understood just as it would be at midday, and whoever is on duty hears about it while it is happening.
Tell us your problem and we will say whether IRIS understands it, or not yet.
We reply the same working day.