Apartments and multifamily
Know what's happening at your property before residents tell you.
One camera view often can't reveal intent. VuePoint analyzes every relevant camera together, so each notification is real and backed by the full picture only VuePoint sees.
- Built by a small, senior team
- Designed to run quietly in the background
- Models and infrastructure under one roof
- Engineered for reliability at scale
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Why it matters
Your cameras record everything. Nobody has time to watch it.
Most apartment communities have dozens of cameras and no one looking at them until after something goes wrong. Then someone scrubs hours of footage to find a thirty-second clip. VuePoint turns that around. It reads every frame as it comes in, knows what normal traffic looks like at each entrance, and pulls out the few moments that aren't normal, with the clip, the time and a plain-English description of what the person was doing.
What it catches
Built for the places problems start.
Gates and garages
It spots a person standing at a vehicle gate after hours and tracks how long they stay. That's the classic setup for slipping in behind a resident's car.
Lobbies, mailrooms and package areas
It flags people who linger, come back more than once, or show up at hours the space is normally empty, so package theft and mailbox tampering stand out from normal resident traffic.
Parking, perimeter and common areas
It surfaces people stopping at parked cars, moving between vehicles, or coming in over a fence line, not the hundreds of residents and delivery drivers who pass through every day.
End to end
How it works on your property.
- 1
Connect
We connect to your existing cameras and recorder where they're compatible. Where they aren't, we add our own. Residents don't have to install anything.
- 2
Learn the site
The models learn each camera's normal pattern: when the garage is busy, when the lobby is empty, who comes and goes.
- 3
Flag behavior
When someone's behavior breaks the pattern, such as dwelling at a gate, loitering after hours or following a car in, the platform marks it and says why.
- 4
Put it in front of the right people
Flagged events come with the clip, the time and the context, so the right people can act on the moment instead of reading about it the next morning.
Every camera, every hour
The platform reads live video continuously. It doesn't wait for someone to pull footage.
Behavior, not just motion
It understands dwell time, direction and context, so a resident walking to their car isn't treated like someone casing the garage.
Built in-house
We build and run the models and the infrastructure ourselves, so the analytics are part of the platform and not an add-on.