What Is Smart Parking?

Smart parking is the use of sensors, cameras and software to know, in real time, which parking spaces are free, and to act on that knowledge: guiding drivers to a space, letting them in and out without a ticket, charging them automatically and giving the operator data on how the car park is used.

A smart parking system has four layers. Detection works out whether each bay, row or level is occupied. Guidance passes that to drivers through signs at the entrance and on each level, and through apps. Access and payment replace tickets with number plate recognition, app payment or permits. Management software ties it together, sets tariffs, handles enforcement and reports occupancy and revenue.

Behind the signs and apps are edge computers at each site. They collect data from occupancy sensors and cameras, run recognition and counting, drive the display boards and send updates to the central system.

The detection method sets the cost, the accuracy and how much computing the site needs. Most car parks use one of four approaches, and many mix them: per-bay sensors on the busiest levels, counting elsewhere.

Camera-based detection has grown fastest, because one camera can watch several bays, read plates and spot misuse of disabled or charging bays at the same time. Our occupancy sensor FAQ compares the sensors in more depth.

Detection only helps if drivers see it. Variable message signs at the entrance and at each decision point show free spaces per level or row, and bay lights show the exact space from the end of an aisle. A parking guidance system is this signage layer, and the same data feeds journey planners and apps.

At the barrier, automatic number plate recognition replaces the ticket: the camera reads the plate on entry and exit, the system calculates the stay and charges a registered account or opens the barrier once the driver pays. Ticketless car parks use ANPR with app or pay-on-foot payment, permit lists and pre-booking.

Drivers looking for a space add traffic to every town centre and fill car park ramps. Studies of city traffic regularly attribute a noticeable share of congestion to cruising for parking, and guidance cuts that time. For the operator, the gains are fuller car parks, because drivers are pointed to the spaces they would otherwise miss, fewer staff at barriers and pay stations, and accurate data on demand by hour and day.

Smart parking is also a common first project in smart city programmes, because the benefit is visible to residents and the sensors and cameras can share infrastructure with traffic and safety systems.

The data has a longer-term use as well. Months of occupancy records show which levels are never full, when demand peaks and how long people stay, which informs tariffs, permit numbers, electric vehicle charging bays and whether a new car park is needed at all. Councils and private operators increasingly treat that data as a planning tool, not just an operating one.

Each site needs computing close to the cameras and signs. A typical build has one or more edge computers per level or zone, reading cameras and sensors, running occupancy and ANPR models, driving signs over serial or Ethernet, and reporting to the management server over the site network or cellular.

PoE computers suit this well: the same computer powers the cameras over their network cables, which cuts cabling on a ceiling or pole. Our smart parking case study shows a PoE system doing exactly that, and the ANPR barrier control case study covers the access side. Outdoor sites add wide temperature ratings and a sealed enclosure.

We supply PoE and edge AI computers for car parks with the operating system and camera software set up as standard, and test every build before it ships. Tell us how many cameras and signs each zone has, and we will specify the computer to match.