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Smart Parking Space Detection and Management

by Datakorum

Management software maps availability, trends turnover and utilization.

Datakorum
Industry
Cities & Public InfrastructureUrban Infrastructure
Use cases
Occupancy MonitoringSpace Optimization
Connectivity
NB-IoTLTE-M
Deployment
Public SaaS
Services
InstallationSystem IntegrationSupport & MaintenanceData AnalyticsSoftware Platform
Available in
Worldwide
Add to RFP
The challenge

What operators are up against

Operators responsible for on-street and managed parking bays, occupancy events, stay duration, sensor health, and parking-zone utilization cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.

The solution

How Smart Parking Space Detection and Management addresses it

Smart Parking Space Detection and Management combines installed sensing and application software to in-ground or bay sensors detect vehicle presence and transmit occupancy, duration, battery, and device-status events. Management software maps availability, trends turnover and utilization, and exposes operational exceptions and APIs. Operators use the resulting dashboard, alert, or workflow to guide drivers, target enforcement, adjust parking operations, maintain sensors, and analyze curb demand. This creates a repeatable response to the identified physical operating condition.

How it works

A team identifies the monitored assets and operating objective, installs the required components, and configures users, thresholds, schedules, or rules. During operation, the system in-ground or bay sensors detect vehicle presence and transmit occupancy, duration, battery, and device-status events. It applies local or hosted logic so that management software maps availability, trends turnover and utilization, and exposes operational exceptions and APIs. The application presents the relevant state, history, exception, or recommendation. Operators and managers guide drivers, target enforcement, adjust parking operations, maintain sensors, and analyze curb demand, then review recurring patterns to improve the operating process.

SenseSensor hardware
ConnectNB-IoT, LTE-M
AnalyzePublic SaaS platform
ActInstallation, System Integration, Support & Maintenance, Data Analytics, Software Platform

Vendor documentation: vendor website

Evidence level: L1 · Vendor-stated: how evidence levels work

Uses this hardware

REQUIREDDatakorum PARK

Datakorum PARK

Datakorum
PARK
SensorNB-IoT

Why teams choose it

Occupancy sensing

In-ground or bay sensors detect vehicle presence and transmit occupancy, duration, battery, and device-status events

Cellular connectivity

Datakorum gateways use NB-IoT or LTE-M to carry field readings and commands between distributed infrastructure and the central management platform

AI-assisted analysis

Management software maps availability, trends turnover and utilization, and exposes operational exceptions and APIs

Operational response

Guide drivers, target enforcement, adjust parking operations, maintain sensors, and analyze curb demand

Deployment context

Designed for cities, parking operators, campuses, and managed districts across on-street and off-street parking zones. This workflow supports distributed operational sites

Role-based visibility

Authorized users can review current status, history, and operating exceptions

What’s different

Attributes fewer than 20% of comparable Cities & Public Infrastructure listings share:

Occupancy MonitoringSpace OptimizationNB-IoTLTE-M

Prerequisites

Limitations / not covered

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