Parking occupancy software collects events from entrances, exits or individual spaces and turns them into a current status and statistics. In a car wash, similar logic tracks the use of the bays. Counting, plate recognition and financial reports are different functions that can be linked into one system.
This article tells how these functions can be arranged and what is worth checking on site. The examples come from a pilot car park with number plate recognition, where these functions are being tried out one at a time. It is still being refined, so the conclusions are cautious.
Where occupancy data comes from
The simplest source is entries and exits: the difference gives the number of vehicles inside. With plate recognition (LPR), a number and an image are added to each event. Another approach is cameras above the lot that watch individual spaces, but it is more demanding about lighting and angle. Every method has an error, so manual correction and periodic on-site checks are provided.
A board at the entrance
The entrance can have a board showing the number of free spaces and whether the lot is open. The driver sees the information before turning in, but the board is a guide, not a guarantee of a particular space.
Access and barrier
- recognition of the licence plate in front of the barrier;
- raising and lowering the barrier according to a list of rights;
- a card or PIN as a backup way to open.
Car wash
The washing bays can be tracked separately — free or busy, washes per day, average stay. The owner sees the load by hour and can match working hours to actual traffic.
Reports
The web panel can show free versus occupied spaces by hour, entries and exits, and the number of washes for the day and week. The data are kept in an archive so that months and seasons can be compared. They are only as accurate as the counting.
Viewing from a phone
The status and reports can also be opened from a mobile app, so the person responsible can see free spaces and recent events from anywhere.
What sites it is meant for
The idea is for car parks at hotels, commercial sites and seaside areas, where traffic changes through the day and the season and having data instead of guesses is useful.
Practical notes
Such systems are refined best in real installations. Cameras are tested in bright sun, shadows, rain and night lighting, because the accuracy of counting and plate reading depends on it. Both plates and images are personal data — a retention period and a circle of people with access are defined. Reports are added gradually once data from real operation have been collected.
What remains open
The hardest cases are the ones outside the rules: a car that entered without a recognised plate, a subscriber who forgot the card, a report that does not match the till. A good system does not hide them; it shows them to a person who can decide. That is why manual correction and a log of changes matter as much as the counting itself.
