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<\/figure>\n\n\n\nThe four core components<\/h2>\n\n\n\nIoT occupancy sensors.<\/strong><\/h3>\n\n\n\nOne sensor sits at each space, either under the surface or on top of it. Fleximodo sensors detect a vehicle through the change it makes in the local magnetic field, then confirm that reading with a radar pulse. Two independent methods in one device is why detection reaches 99.96% accuracy instead of the 95% typical of magnetometer-only sensors. Each sensor runs up to 10 years on a single battery, so there is no cabling and no trenching across a car park. For a closer look at the detection method, see how Fleximodo parking sensors work<\/a>.<\/p>\n\n\n\nWireless connectivity.<\/strong> <\/h3>\n\n\n\nSensors report over low-power networks built for exactly this kind of small, frequent message: NB-IoT, LoRa<\/a>, Sigfox, and LTE-M. The right choice depends on the site. NB-IoT and LTE-M use existing mobile coverage and suit dense cities. LoRa suits large private sites where you run your own gateway. The sensor sends a status change, not a video stream, so power draw stays tiny and one battery lasts years.<\/p>\n\n\n\nCloud software platform.<\/strong> <\/h3>\n\n\n\nThis is where raw occupancy becomes management. A cloud-based parking management system aggregates every space in real time, shows live maps, stores history for analysis, handles digital permits and payments, and exposes an API so the data flows into a city portal, a mobile app, or a third-party system. Because it is cloud based, an operator checks a site from any device with no on-site server to maintain.<\/p>\n\n\n\n
Driver-facing guidance.<\/strong><\/h3>\n\n\n\nThe last layer points drivers to a free space before they start circling: mobile apps, LED or flip-dot signs<\/a> at the entrance and at each aisle, and digital permit cards for residents and staff. Guidance is where the occupancy data pays back in less traffic and lower emissions.<\/p>\n\n\n\nHow it works, step by step<\/h2>\n\n\n\n\n- A car pulls into a space. The sensor registers the magnetic field change and confirms it with radar.<\/li>\n\n\n\n
- The sensor sends the new status over NB-IoT, LoRa, Sigfox, or LTE-M.<\/li>\n\n\n\n
- The cloud platform updates that space and recalculates availability for the whole site.<\/li>\n\n\n\n
- The new count is pushed to signs, apps, and the operator dashboard within seconds.<\/li>\n\n\n\n
- Operators use the same data for enforcement, dynamic pricing, and long-term planning.<\/li>\n<\/ol>\n\n\n\n
The loop runs every time a vehicle moves. No survey, no manual count, no delay.<\/p>\n\n\n\n
Sensors, cameras, indoor, outdoor<\/h2>\n\n\n\n
Two detection methods dominate the market: in-ground sensors and cameras. Sensors give one reading per space and keep working in rain, snow, glare, and darkness, which makes them reliable on-street and in open lots. Cameras can watch several spaces at once and read plates, which suits some enclosed structures. Many sites mix both. The deciding factors are lighting, layout, and how much you value per-space certainty over wide-area coverage. For a full breakdown, see our guide to parking sensors vs cameras<\/a><\/p>\n\n\n\nWhat results does it deliver<\/h2>\n\n\n\n
The point of the system is not the technology. It is what the technology changes.<\/p>\n\n\n\n
Take Pardubice, in the Czech Republic<\/a>. There, a citywide deployment of 3,421 sensors lifted parking revenue from CZK 23 million to CZK 40 million in three years. It also pushed compliance above 90%. In Abu Dhabi, meanwhile, 1,750 sensors brought order to patient, visitor, and staff parking at Sheikh Shakhbout Medical City<\/a>, across a site of more than 400,000 square metres. And across all deployments, better use of existing spaces cuts search traffic by up to 30%, while saving roughly 7 tonnes of CO2 per digitalized space each year. Demand is climbing worldwide too, as the smart parking market analysis by Mordor Intelligence<\/a> shows.<\/p>\n\n\n\n
One sensor sits at each space, either under the surface or on top of it. Fleximodo sensors detect a vehicle through the change it makes in the local magnetic field, then confirm that reading with a radar pulse. Two independent methods in one device is why detection reaches 99.96% accuracy instead of the 95% typical of magnetometer-only sensors. Each sensor runs up to 10 years on a single battery, so there is no cabling and no trenching across a car park. For a closer look at the detection method, see how Fleximodo parking sensors work<\/a>.<\/p>\n\n\n\n Sensors report over low-power networks built for exactly this kind of small, frequent message: NB-IoT, LoRa<\/a>, Sigfox, and LTE-M. The right choice depends on the site. NB-IoT and LTE-M use existing mobile coverage and suit dense cities. LoRa suits large private sites where you run your own gateway. The sensor sends a status change, not a video stream, so power draw stays tiny and one battery lasts years.<\/p>\n\n\n\n This is where raw occupancy becomes management. A cloud-based parking management system aggregates every space in real time, shows live maps, stores history for analysis, handles digital permits and payments, and exposes an API so the data flows into a city portal, a mobile app, or a third-party system. Because it is cloud based, an operator checks a site from any device with no on-site server to maintain.<\/p>\n\n\n\n The last layer points drivers to a free space before they start circling: mobile apps, LED or flip-dot signs<\/a> at the entrance and at each aisle, and digital permit cards for residents and staff. Guidance is where the occupancy data pays back in less traffic and lower emissions.<\/p>\n\n\n\n The loop runs every time a vehicle moves. No survey, no manual count, no delay.<\/p>\n\n\n\n Two detection methods dominate the market: in-ground sensors and cameras. Sensors give one reading per space and keep working in rain, snow, glare, and darkness, which makes them reliable on-street and in open lots. Cameras can watch several spaces at once and read plates, which suits some enclosed structures. Many sites mix both. The deciding factors are lighting, layout, and how much you value per-space certainty over wide-area coverage. For a full breakdown, see our guide to parking sensors vs cameras<\/a><\/p>\n\n\n\n The point of the system is not the technology. It is what the technology changes.<\/p>\n\n\n\n Take Pardubice, in the Czech Republic<\/a>. There, a citywide deployment of 3,421 sensors lifted parking revenue from CZK 23 million to CZK 40 million in three years. It also pushed compliance above 90%. In Abu Dhabi, meanwhile, 1,750 sensors brought order to patient, visitor, and staff parking at Sheikh Shakhbout Medical City<\/a>, across a site of more than 400,000 square metres. And across all deployments, better use of existing spaces cuts search traffic by up to 30%, while saving roughly 7 tonnes of CO2 per digitalized space each year. Demand is climbing worldwide too, as the smart parking market analysis by Mordor Intelligence<\/a> shows.<\/p>\n\n\n\nWireless connectivity.<\/strong> <\/h3>\n\n\n\n
Cloud software platform.<\/strong> <\/h3>\n\n\n\n
Driver-facing guidance.<\/strong><\/h3>\n\n\n\n
How it works, step by step<\/h2>\n\n\n\n
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Sensors, cameras, indoor, outdoor<\/h2>\n\n\n\n
What results does it deliver<\/h2>\n\n\n\n