How many washes are never paid for?
Without independent vehicle counting, the gap between bay activity and the till stays invisible. Comparing detected vehicles with recorded payments brings those gaps to light, day by day.
Smart Car Wash
Track every vehicle and every wash bay, hour by hour
VIDEO.MA detects vehicles entering and leaving your wash bays, measures the duration of each service and how busy each bay is. Revenue can be estimated from your own price list, or measured for real by integrating your payment terminals.
What it is costing you today
Simulate my lossesHow many hours do your wash bays sit idle?
One bay standing empty while another overflows is capacity you pay for but do not use. Measuring the occupancy of each bay shows where to reorganise vehicle intake or adjust opening hours.
How many customers give up when they see the queue at the entrance?
A driver who moves on in front of a long queue leaves no trace at the till. Measuring wait times by time slot helps pinpoint the hours when the site loses customers for lack of capacity.
Car Wash
Industry challenges
Vehicle volumes nobody really knows
The actual number of vehicles handled per day and per bay is often approximate, especially when several payment methods coexist.
Gaps between activity and takings
Without an independent measure of traffic, it is hard to check that the number of washes performed matches the amounts collected.
Uneven bay productivity
Some bays are saturated while others sit idle, and service times vary without the operator being able to quantify it.
Consumption that is hard to track
Chemical and water usage is rarely related to the number of vehicles washed, which makes cost control difficult.
VIDEO.MA
What VIDEO.MA delivers
Vehicle detection and tracking
Per projectDetection of vehicles on site and tracking of their path from the entrance, through the waiting area, to the wash bays.
Entry and exit counting
Per projectNumber of vehicles entering and leaving per time slot, per day and per bay.
Wash bay occupancy
Per projectReal-time free or occupied status of each bay and daily occupancy rate.
Service duration per vehicle
Per projectTime each vehicle spends on a bay, from entry to exit, and average durations per bay.
Productivity per bay
Per projectComparison of vehicles handled and average durations across bays to balance the workload.
Estimated revenue
Per projectRevenue estimated from counted vehicles and the prices configured by the operator. This is an estimate, not accounting data.
Actual revenue from payments
Feasibility studyAmounts actually collected, retrieved by integrating the till or payment terminals, then reconciled with detected vehicles.
Chemical consumption
Feasibility studyConsumption tracked only through connected sensors or compatible dosing equipment. This figure is never inferred from video.
Example metrics
Vehicles per day and per bay
Video dataNumber of vehicles detected entering each bay, derived from video analysis.
Average wash duration
Video dataAverage time a vehicle spends on a bay, measured by video.
Bay occupancy rate
Video dataShare of opening hours during which each bay is occupied, measured by video.
Estimated revenue
Video + business dataCounted vehicles multiplied by the operator’s configured prices; an indicative figure, kept separate from actual revenue.
Actual revenue
Business integrationAmounts collected, taken from the integrated till or payment terminals.
Chemical usage per vehicle
Video + business dataVolumes measured by connected sensors or dosing pumps, divided by the number of vehicles counted by video.
Dashboard preview
Dashboard · West Station — TodayDemo data
Vehicles washed
86
Average duration
11 min
Bay occupancy
64%
Estimated revenue (configured prices)
MAD 4,730
Activity per hour
Events
- Bay 2 occupied for over 25 min
- 3 vehicles waiting — Entrance
- Bay 3 idle for 40 min
- To review: 6 washes with no matching payment
Deployment approach
- 1
Site audit
Survey of the bay layout, existing cameras, lighting, water spray and payment methods.
- 2
Bay and price configuration
Definition of entry, waiting and wash zones, entry of prices for revenue estimation and setup of alerts.
- 3
Pilot and accuracy check
Video counts are compared with manual tallies and, where possible, with payments to validate data reliability.
- 4
Go-live
Dashboards go live, optional integrations (payments, sensors) are added and indicators are monitored regularly.
Prerequisites, limitations and privacy
- Water spray, steam, foam and reflections can affect detection; camera placement and protection are assessed during the audit.
- Estimated revenue is based on the prices you configure; only revenue from the integrated till or payment terminals is authoritative.
- Chemical consumption cannot be measured from video: it requires connected sensors or dosing equipment.
- Cameras filming vehicles and customers fall under Law 09-08. Licence plate recognition is not included by default and would require a legal review and a specific CNDP filing.
Frequently asked questions
Can the system tell wash programmes apart?
Video measures traffic and duration on each bay. The service type can sometimes be inferred from the bay used or the duration, depending on how you operate, but the exact figure comes from the till once it is integrated.
How reliable is the revenue figure?
Without integration, it is an estimate based on counted vehicles and your prices. It is useful for spotting trends and discrepancies, but it does not replace your accounting data. With payment integration, actual revenue is shown separately.
Can cameras track chemical consumption?
No. Consumption can only be tracked with flow meters, level sensors or connected dosing pumps. VIDEO.MA can study how to integrate them and relate those volumes to the number of vehicles counted.
Are wet conditions a problem?
They are a major accuracy factor. Cameras must suit the environment and be placed out of direct spray. The pilot verifies reliability under your real operating conditions.
Have a project in this industry?
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