CAM-540
How many get out of the car and which door they end up using
Shopping Saturday, midday light. On the left, rows of cars in the surface parking lot; in the foreground, a car with its door open and a family getting out. A group crosses at the crosswalk and carries on across the plaza toward the main entrance, glazed, on the right. Another family walks back to the car with bags. IRIS counts how many people cross, how many go in through the door and how many cars use the lane. All in aggregate: no license plates are read here.
Turn on IRIS Vision
AI-generated image
What IRIS understands
What it recognizes in this scene
- main entrance
- pedestrians crossing the plaza
- crosswalk
- car with a family getting out
- parked cars
- traffic lane
- family walking back to the car with bags
What this camera gives back
Nobody gets an alert here. Here you get numbers.
- 520 / hPeople per hour going in through the door
- 390 / h+70People per hour using the crossing
- 2,4People per arriving car
- 215 / hCars per hour coming in
- 17:00 – 18:00Busiest hour for arrivals
- 17:35Last updated
The figures on this screen are an example from the illustration, not any client’s measurement.
How the counting works
Counting isn’t something you ask for. You draw a line.
There’s a line at the crosswalk and another on the door threshold, and a zone painted over the plaza between them. Whatever crosses each line is added, with the direction it was going; the zone says how many people are in between at any moment. From that comes the ratio of arriving cars to entering people, always in aggregate. A line can’t be described in a sentence: it is traced onto the image, and that’s why one Saturday’s figure compares with the one before without argument.
- line on the door threshold · Counting line
- line at the crosswalk · Counting line
- plaza zone · Dwell zone
And also, one rule
You decide once. IRIS applies it always.
If
people keep crossing the lane away from the crosswalk
Then
- alert the security lead with the exact point where people are crossing
- save the video of those crossings for the access review
- leave the count for that slot so you can decide whether another crossing is needed
The instruction that set it up«Tell me how many people come in through the main door for each car that arrives at the parking lot.»
What changes
What changes for operations, for asset management and for security
Saturday at midday, and the center’s operations manager knows how many cars have come in but not how many people got out of them. The parking lot is the first part of the visit and almost always the worst measured. Knowing how many people cross, where they cross and which door they come in through explains things that today are only assumed: why one door is full and another empty, whether another crossing is needed, where to put the family bays and what time it’s worth adding cleaning at the entrance. And it gives the ratio of cars to people, which is what turns a parking lot filling up into a forecast of the crowd inside half an hour later.
What people usually ask
Are license plates read here?
Not here. This camera is set up to count people and cars, not to read plates: the frame is wide and looks at the plaza. What it returns are aggregate numbers — how many cars come in per hour, how many people cross, how many go in through the door — with nothing that identifies any vehicle or any visitor. IRIS can read plates on other cameras and in other places where the center needs it and has the legal basis; this isn’t one of them, and we aren’t going to imply otherwise.
How do you know how many people each car brings?
By comparing numbers, not by following anyone. One line counts the cars entering the parking lot and another counts the people crossing toward the center in the same period. Dividing one by the other gives an aggregate average. It isn’t a figure about one particular car or one particular family, and it can’t be: IRIS doesn’t tie people to vehicles and recognizes nobody.
Can the parking lot predict how busy the center will be?
That’s exactly what it is for. When the parking lot fills at a certain rate, half an hour later that turns into people in the malls. With the two curves laid over each other you see that center’s own relationship, which isn’t another center’s. And with that relationship you decide when the extra cleaning and security shift starts, instead of deciding it once things are already messy. A person reads the forecast: IRIS supplies the two curves, not the decision.
Other cameras
- CAM-535 · How many people come in through each door, and when
- CAM-536 · An empty hallway sixty feet from a packed wing
- CAM-537 · Before, during and after: what the campaign actually brought in
- CAM-538 · Eighteen hundred walk past and two hundred stop
- CAM-539 · The ground floor packed and the upper walkway deserted
- CAM-541 · The line isn’t moving and there are barely any free tables left
Every simulation
Something has spilled
Tell me if there is liquid or foam outside its place and it is still there two minutes later.
- The sentence
- Where it applies
- What it finds
- The same rule
Next step
Why did the line stop?
237 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.
How many spaces are open right now?
15 cases: 9 raise an alert when something happens and 6 only measure. You see each image as it is, and then with what IRIS understands on top.
And the best part
The disk fills up on its own.The questions stay unanswered.
Storing images is easy, and it isn’t cheap. What was missing was someone to look at them. IRIS looks at everything you record and shows you only what is worth a glance.
Tell us your problem and we’ll say whether IRIS understands it, or not yet.
A person answers, the same working day.