Turn your existing CCTV into a clear timeline of when each car arrived, how long it took to load, how long it spent in the tunnel, and when it left—so you can see where the throughput goes.
Arrival, loading and exit, with how long each stretch took, matched to the plan in one pass.
TUNNEL 01Illustrative visitCamera and wash POS
07:44:10
Wash POS
Plan matched
Entered
Plate read at the tunnel entrance
07:44:52
Loaded
Wheel meets the conveyor
07:48:08
Exited
Vehicle clears the tunnel exit
3m 58s from entrance to exit, drawn to scale
In the tunnel3m 16s
Loading42s
42sLoading onto the conveyor
3m 16sIn the tunnel
Exited
How it works
Three steps, then it is just running
1
Step 1: Point us at your feeds
We connect to the NVR you already run. The camera at your entry reads plates, and the rest of the tunnel runs on the feeds you already have.
TUNNEL 01
Connected from your recorder
Live
ENTRY 01
Connected from your recorder
Live
EXIT 01
Connected from your recorder
Live
2
Step 2: Calibrate the tunnel
We mark the tunnel entrance and the tunnel exit. That is the whole setup — every pass is timed between those two lines.
TUNNEL 0107:44:52Tunnel entrance
3
Step 3: Watch it on your dashboard
The second a car comes in, it shows up on your dashboard. Every pass, gap and stop lands there as it happens, and all of it stays in one place.
LiveTunnel 01
Car 3Entered 07:46:08 · Exited 07:50:32
Loading
1m 4s
In tunnel
3m 20s
Car 2Entered 07:45:03 · Exited 07:48:46
Loading
31s
In tunnel
3m 12s
Car 1Entered 07:44:10 · Exited 07:48:08
Loading
42s
In tunnel
3m 16s
3 cars · 2m 17s spent loading
What you can finally answer
Know where your tunnel loses cars.
See what the tunnel really runs, where the throughput goes, and how long it stood still.
What is the real cars-per-hour?
Measured against conveyor capacity, by hour and by day.
17 carsshort of capacity, each hour
78 carswashed per hour
78 cars washed17 cars missed
The tunnel ran 78 cars an hour against a capacity of 95.
Where does the throughput go?
Loading gaps, stops, and slow exits, separated.
Loading gaps9 cars
Stops5 cars
Slow exits3 cars
Loading gaps cost the most cars every hour.
How long was the tunnel down?
Every stop, with its length and the cars that queued behind it.
Longest: 6m 20s
Stopped at
Length
Queued
11:32:08
6m 20s
14 cars
15:08:51
2m 45s
8 cars
07:12:40
1m 36s
6 cars
One stop held up 14 cars for over six minutes.
Which plates keep coming back?
Passes tied to plates, so members and regulars both show up.
Came back within 30 days
41%of plates
Seen once
59%of plates
Four in ten plates came back within a month.
Good to know
The questions washes ask first
A few things you might want to know before getting started.
01Can it tell my members from single washes?
Yes. The camera at your entry reads each plate, and the pass is matched to its plan in your wash POS — an unlimited member, a single wash, or a plate you have seen before. Every pass arrives already tied to what the customer paid for.
02How is this different from what my controller reports?
A controller counts what passed through. BayCam measures the conveyor as a whole, so an empty stretch of track counts against you the same way a stopped tunnel does. That is the difference between a throughput number and a capacity number.
03What does it connect to?
Your wash POS, so every pass arrives with its plan or transaction attached. Without that link you get times; with it you get what those times were worth.
04Does it work on an in-bay automatic?
Yes, with different events. There is no conveyor to measure, so an in-bay is timed from vehicle in to vehicle out instead, and the gap that matters becomes the time between one car leaving and the next being positioned.
05Do I have to buy cameras?
BayCam runs on the CCTV you already have. Those cameras were put up for evidence, not recognition, so some may just need re-aiming — we look at your feeds first and tell you plainly which ones. Once they are pointed right, you are good to go.
06How long until it is running?
About a week per site. Once we have access to your feeds and your POS, we collect footage from your bays, train our AI model on your layout, run it on your cameras, and test the results against what actually happened before you rely on a single number. Multi-site rollouts go a site at a time, so each one is trained and tested on its own rather than copied.
07:44:52
07:48:08
