OEM LoRaWAN Parking Sensor Manufacturer | Smart Parking

2026-09-08 09:50:27 · Views 14

Drivers searching for available parking spaces create unnecessary traffic inside city centers, commercial properties, hospitals, campuses and transport facilities. Parking operators also struggle to understand actual space utilization when occupancy is recorded manually or inferred only from entry and exit barriers.

A LoRaWAN parking sensor detects whether an individual parking space is occupied and sends that status to a gateway. The information can then be displayed on a management platform, parking guidance sign, mobile application or third-party API.

For system integrators and parking technology brands, an OEM LoRaWAN parking sensor can be developed around the required detection method, installation type, enclosure, battery strategy, regional frequency and software platform.

The project should be treated as a complete system. Reliable parking management depends on detection accuracy, installation consistency, wireless coverage, event handling, gateway placement and platform integration—not simply the radio module inside the sensor.

What Is a LoRaWAN Parking Sensor?

A LoRaWAN parking sensor is a wireless IoT device that detects the presence or absence of a vehicle in a defined parking space.

A typical system architecture is:

Parking Sensor → LoRaWAN Gateway → Network Server → Parking Platform → Display, App or API

When a vehicle enters or leaves a space, the sensor evaluates the change and transmits an occupancy event. It may also send periodic status packets so the platform can monitor device health.

Depending on the project, the payload may contain:

Occupied or vacant status
Occupancy-change event
Parking-session start or end
Battery voltage
Sensor temperature
Detection confidence
Magnetic baseline status
Radar or proximity status
Tamper alarm
Device fault
Communication sequence number
Firmware version

The sensor usually reports occupancy rather than identifying the driver or reading the vehicle registration number.

Where Can Wireless Parking Sensors Be Used?

On-Street Parking

Individual sensors can be installed in marked roadside parking spaces. Occupancy data can help city operators analyze demand and direct drivers toward available areas.

Typical applications include:

Municipal paid parking
Loading zones
Short-stay spaces
Accessible parking spaces
Electric-vehicle charging bays
Taxi waiting areas
Restricted parking zones

The system may be integrated with payment or enforcement software, but an occupancy sensor alone does not prove whether the correct vehicle has paid.

Commercial Parking Lots

Shopping centers, supermarkets, hotels and office parks can use occupancy data to display the number of available spaces and analyze peak periods.

A parking platform can organize spaces by:

Building
Floor
Zone
Customer category
Reserved status
Charging availability
Maximum parking duration

Hospitals and Campuses

Hospitals, universities and industrial campuses often have several parking areas distributed across a large property.

LoRaWAN can connect space sensors to shared gateways without installing a separate cellular modem in every parking bay.

Airports and Transport Hubs

Long-stay, short-stay, employee and restricted parking zones can be managed from one platform.

The system can support occupancy guidance and utilization analysis, while access control, reservations and payments remain separate integrations.

Underground Parking

LoRaWAN can be useful in underground garages, but concrete structures, metal vehicles, ramps and multiple floors can significantly affect radio performance.

Gateway locations must be tested inside the real building. An outdoor coverage estimate should not be reused for an underground installation.

Magnetic Vehicle Detection

A magnetometer measures changes in the surrounding magnetic field.

When a vehicle moves above or near the sensor, the metal structure can alter the local magnetic field. Firmware compares these changes with a calibrated baseline to determine whether the space is occupied.

Advantages of Magnetic Detection

Low-power measurement
Compact sensor construction
No camera or image processing
Suitable for individual-space monitoring
Can be installed in or above the pavement
Works without visible vehicle identification

Magnetic Detection Challenges

Magnetic readings can be affected by:

Nearby vehicles
Reinforced concrete
Metal drainage covers
Underground cables
Steel structures
Sensor orientation
Installation depth
Gradual environmental changes
Large vehicles in adjacent spaces

A detection algorithm needs calibration, filtering and baseline adaptation. A single fixed threshold may not work reliably across every parking site.

Radar Parking Detection

Radar measures reflected electromagnetic energy to detect an object above or near the sensor.

Depending on the design and mounting position, radar can help determine whether a vehicle is present.

Advantages of Radar

Contactless object detection
Less dependent on magnetic characteristics
Useful as a second detection method
Can support surface, overhead or wall-mounted designs
May help reject some magnetic false events

Radar Detection Challenges

Performance can depend on:

Mounting height
Sensor angle
Vehicle ground clearance
Water or snow on the sensor
Nearby moving objects
Reflections from walls
Radar frequency and antenna design
Installation geometry

Radar increases hardware and firmware complexity, so the sensing method should match the target parking environment.

Dual-Sensor Detection

Many professional parking projects combine magnetometer and radar or another proximity technology.

A dual-sensor algorithm can compare two independent indications before changing the occupancy state.

For example:

The magnetometer detects a significant field change.
Radar checks whether an object is physically present.
Firmware applies persistence and confidence rules.
The device confirms the parking-space event.
A LoRaWAN uplink reports the new status.

Sensor fusion can reduce false occupancy changes, but it does not guarantee a universal accuracy level. Performance must be tested with representative vehicles and actual installation conditions.

Surface-Mounted, Flush-Mounted or Overhead?

Installation type affects detection, maintenance and project cost.

Surface-Mounted Sensor

A surface-mounted sensor is fixed on top of the parking surface.

Potential advantages include:

Faster installation
Less pavement cutting
Easier removal or replacement
Suitable for some pilot projects

Important considerations include mechanical impact, snow removal, cleaning equipment, tire contact and vandalism.

Flush-Mounted Sensor

A flush-mounted or in-ground sensor is installed inside a drilled or prepared opening.

It can have a lower profile, but installation usually requires:

Pavement drilling
Sealing materials
Correct orientation
Controlled installation depth
Drainage evaluation
Road or parking-area closure

Water ingress risk depends on the complete enclosure, seals and installation process.

Overhead Sensor

A ceiling-mounted sensor may be used in indoor parking structures.

It can avoid pavement work and may provide visible guidance indicators, but it requires suitable ceiling height, power or battery planning and a clear view of the target space.

Wall- or Pole-Mounted Detection

Some open parking layouts can use sensors positioned beside several spaces. The detection and identification logic becomes more complex because the system must associate each event with the correct parking bay.

Parking-Space Detection Is an Algorithm Problem

Hardware selection alone does not create reliable occupancy data.

Firmware must distinguish genuine vehicle events from:

A vehicle passing through an adjacent lane
A car briefly crossing the space
A person standing near the sensor
Shopping carts
Road-maintenance equipment
Magnetic interference
Water accumulation
Temporary sensor obstruction
Neighboring-space activity

Useful algorithm functions can include:

Baseline calibration
Automatic baseline adjustment
Multiple detection thresholds
Time persistence
Occupancy confidence
Sensor-fusion logic
Event debouncing
Temperature compensation
Neighboring-event rejection
Abnormal-signal detection

A site pilot should include different vehicle sizes and parking behaviors rather than testing only one stationary car.

Event Reporting and Heartbeat Messages

A parking sensor normally uses two reporting mechanisms.

Occupancy-Change Event

When the confirmed status changes, the sensor sends an event such as:

Vacant to occupied
Occupied to vacant
Possible obstruction
Sensor movement
Tamper detection

An event-driven message allows the parking platform to update without waiting for the next scheduled report.

Periodic Heartbeat

A heartbeat packet confirms that the sensor remains online even when no vehicle change occurs.

It may include:

Current occupancy
Battery status
Sensor diagnostics
Firmware version
Internal temperature
Sequence number
Time since last event

Heartbeat frequency affects both network capacity and battery consumption.

Handling Packet Loss and Duplicate Events

An occupancy event may fail to reach the Network Server because of interference, gateway downtime or weak coverage.

The system should not rely on one unprotected status transition.

Possible reliability mechanisms include:

Repeated event reports with controlled timing
Event sequence numbers
Current state included in heartbeat packets
Confirmed messages used selectively
Local event storage
Gateway redundancy
Server-side duplicate detection
State reconciliation after reconnection

Excessive confirmed traffic can consume downlink capacity and increase battery use. The correct strategy balances latency, reliability and network load.

Designing a Compact LoRaWAN Payload

A parking sensor does not need to send a large message for every event.

A compact payload may include:

Device identifier or channel reference
Current occupancy bit
Event type
Detection confidence
Alarm flags
Battery value
Temperature
Record sequence
Sensor status
Protocol version

The payload document should define byte order, scaling, flag meanings and invalid values.

For large projects, payload versioning is important. Updated firmware should not unexpectedly break the decoder used by existing sensors.

Jinshengchang’s custom LoRaWAN firmware development service can be evaluated for sensor drivers, event algorithms, payload encoding, low-power control, configuration and production-test functions.

Battery and Power Planning

Outdoor parking sensors are often expected to operate without a nearby power connection.

Actual battery life depends on:

Sensor technology
Detection frequency
Radar activation time
Number of daily parking events
Heartbeat interval
LoRaWAN data rate
Transmit power
Confirmed-message retries
Gateway coverage
Temperature
Battery chemistry
Sleep current
Firmware behavior

A location with frequent vehicle turnover generates more events than a rarely used parking space.

For this reason, battery estimates should use expected parking activity and radio conditions rather than only a laboratory sleep-current value.

Environmental and Mechanical Requirements

A parking sensor may be exposed to:

Rain and standing water
Dust, sand and road debris
Direct sunlight
High and low temperatures
Vehicle load
Tire impact
Cleaning equipment
Oil and automotive fluids
Snow and ice
Road salt
Vibration
Vandalism

The enclosure material, sealing system and mounting method must be tested as a complete assembly.

An ingress-protection or load-rating claim should only be made after the final production design and installation method have been appropriately verified.

LoRaWAN Gateway Planning

Each sensor communicates with one or more LoRaWAN gateways. The gateways forward data to the Network Server through Ethernet, Wi-Fi, fiber or cellular backhaul.

Gateway planning should consider:

Number of parking spaces
Indoor or outdoor environment
Multiple underground levels
Concrete walls and floors
Gateway antenna height
Metal vehicles
Entry and exit ramps
Equipment rooms
Internet availability
Required redundancy
Local frequency plan

An underground garage may require gateways on several levels, while an open outdoor parking area may use a different layout.

The LoRaWAN gateway manufacturer and deployment guide explains the broader gateway, backhaul and network-planning considerations for industrial IoT projects.

Smart Parking Platform Functions

A complete parking solution needs software that converts device events into useful operational information.

Live Occupancy Map

The platform can display each parking space as:

Available
Occupied
Reserved
Disabled
Offline
Fault detected
Temporarily closed

Guidance Integration

Available-space counts may be sent to:

Entrance signs
Zone displays
Mobile applications
Navigation services
Web portals
Third-party parking platforms

The occupancy platform should define how quickly signs are updated and what happens when sensor data becomes unavailable.

Utilization Reports

Historical data can help operators understand:

Occupancy by hour
Average parking duration
Peak periods
Underused zones
Space turnover
Long-stay events
Device availability
Parking-pattern changes

Device Management

For large deployments, the platform should support:

Device-to-space assignment
Installation coordinates
Battery monitoring
Last communication time
Firmware version
Configuration history
Alarm records
Maintenance tasks
Gateway status
Bulk import and export

API Integration

System integrators may require MQTT, HTTP or REST interfaces for:

Parking applications
Payment platforms
Reservation systems
Enforcement software
City data platforms
Building-management systems
EV charging services

The API should distinguish observed occupancy from payment, reservation and authorization status.

Parking Sensor and Camera Integration

Ground sensors and cameras solve different problems.

A parking sensor is suitable for detecting space occupancy with minimal personal data. It does not normally identify the vehicle.

A camera system may support license-plate recognition or visual verification, but it introduces different infrastructure, bandwidth, lighting, privacy and data-storage requirements.

A hybrid project can use:

LoRaWAN sensors for space-level occupancy
Cameras at entrances and exits
Barriers for access control
Payment systems for transactions
A shared platform for operational management

The appropriate architecture depends on whether the project needs only availability data or verified vehicle identity.

Regional Frequency Planning

The parking sensors and gateways must use the frequency plan permitted in the deployment market.

Common regional plans include:

EU868
US915
AU915
AS923 variants
CN470
IN865
KR920
RU864

The destination country must be confirmed before final hardware and firmware configuration. Channel masks, transmit power and duty-cycle behavior may vary between markets.

Certification requirements also depend on the final radio configuration, enclosure and intended market. They should be evaluated for the finished product.

OEM and ODM Customization Options

An OEM LoRaWAN parking sensor project may include:

Magnetic detection
Radar detection
Dual-sensor fusion
Surface-mounted enclosure
Flush-mounted enclosure
Overhead installation
Tamper detection
Temperature monitoring
Replaceable or fixed battery
External power option
Customer-defined payload
Configurable heartbeat interval
Remote thresholds
Regional LoRaWAN frequencies
Customer logo and labels
Customized packaging
Gateway integration
Private server deployment
Parking dashboard
Mobile application
Customer API

Shenzhen Jinshengchang Technology Co., Ltd. can evaluate the required combination of PCB design, embedded firmware, LoRaWAN communication, gateways, server interfaces and platform development.

No detection accuracy, battery duration, enclosure rating or certification should be promised before the selected design has been tested under the agreed conditions.

Recommended Development Process

1. Define the Parking Environment

Confirm whether the project is on-street, outdoor, underground, multi-level or privately managed.

2. Select the Detection Method

Evaluate magnetometer, radar, proximity sensing or sensor fusion according to the installation environment.

3. Define Installation Requirements

Confirm surface, flush, ceiling or wall mounting, together with pavement type, sensor orientation and maintenance access.

4. Specify Event and Platform Logic

Define occupancy states, event latency, heartbeat interval, offline behavior, API requirements and reporting functions.

5. Develop the Prototype

Complete the sensing PCB, radio circuit, antenna, power supply, enclosure, firmware and preliminary decoder.

6. Test With Representative Vehicles

Use passenger cars, SUVs, vans and other vehicles expected at the project site. Test correct parking, partial parking, adjacent movement and rapid entry or exit.

7. Conduct an On-Site Pilot

Install a controlled batch to evaluate detection, radio coverage, gateway placement, environmental exposure and platform behavior.

8. Prepare for Production

Finalize calibration procedures, installation tools, firmware versioning, device credentials, factory test fixtures, labels and traceability records.

Information Required for a Quotation

Customers should provide:

Parking application and project type
Total number of parking spaces
Indoor, outdoor or underground location
Parking-space dimensions
Pavement or mounting surface
Surface, flush or overhead installation preference
Expected vehicle types
Required detection technology
Occupancy-event latency requirement
Heartbeat interval
Battery or external power preference
Gateway and backhaul requirements
Destination country and frequency plan
Network Server selection
Platform and API requirements
Prototype quantity
Estimated production quantity
Logo, enclosure and packaging requirements

Site drawings and photographs are useful for evaluating installation and gateway placement.

Frequently Asked Questions

Does a LoRaWAN parking sensor identify the vehicle?

Normally, no. A space sensor reports whether a parking bay is occupied. Vehicle identity requires a separate technology such as license-plate recognition, access credentials or a parking application.

Is magnetic detection sufficient for every parking lot?

No. Nearby metal, reinforced concrete, adjacent vehicles and installation conditions can affect magnetic readings. Radar or dual-sensor detection may be more appropriate for some sites.

Can the sensor be installed without drilling the pavement?

A surface-mounted model can reduce pavement work. However, it must be evaluated for tire impact, cleaning equipment, vandalism and environmental exposure.

Can LoRaWAN work in an underground garage?

It can, but concrete floors, walls and parked vehicles may reduce signal strength. Multi-level garages require an on-site coverage test and may need more than one gateway.

How quickly can the platform update after a vehicle arrives?

Update time depends on detection logic, event confirmation, radio conditions, Network Server processing and application integration. The required latency should be defined before development.

Can one gateway support an entire parking project?

Possibly, but there is no universal answer. Capacity and coverage depend on the number of sensors, event frequency, data rate, retransmissions, building structure and gateway placement.

What happens when a parking sensor goes offline?

The platform should mark the space or device as unavailable rather than continuing to display an unverified status indefinitely. Heartbeats and last-seen timestamps support offline detection.

Can the platform connect with payment and reservation software?

Yes, an API or other server interface can be developed. Occupancy, payment, reservation and enforcement data should remain clearly distinguished.

Can parking sensors share a network with other LoRaWAN devices?

Yes. A correctly planned LoRaWAN network can also carry data from environmental sensors, meters, asset devices or building sensors. Network capacity should be calculated from the total traffic profile.

Is private-label manufacturing available?

PCB functions, firmware, payload format, enclosure markings, labels, packaging and platform branding can be evaluated for an OEM or ODM project.

Conclusion

A LoRaWAN parking sensor gives cities and parking operators space-level occupancy data without installing a cellular connection for every parking bay.

A successful system requires more than a magnetic or radar component. Detection algorithms, installation consistency, power management, LoRaWAN coverage, event recovery and software integration must work together.

Before mass deployment, buyers should test representative sensors in the real parking environment and verify both occupancy detection and radio communication under normal operating conditions.

Shenzhen Jinshengchang Technology Co., Ltd. can evaluate custom smart-parking projects covering sensor hardware, embedded firmware, LoRaWAN connectivity, gateways, payload protocols, APIs, management platforms, prototypes and OEM/ODM production.

Request an OEM LoRaWAN Parking Sensor Proposal

Send your parking-site drawings, installation environment, space quantity, preferred detection method, destination country and platform requirements for technical evaluation.