Edge AI Station α AI Application

An AI app that supports operations, from monitoring traffic congestion to preventing illegal parking.

Streamlining Parking Lot Operations, Improving User
Convenience, and Addressing Illegal Parking

EDGEMATRIX Smart Parking uses AI video analytics to transform existing security cameras into intelligent parking management tools. By automatically counting vehicles, monitoring occupancy levels, detecting overstays, and identifying unauthorized vehicle types, the system provides real-time visibility into parking operations.

Suitable for highway service areas, retail facilities, tourist attractions, airports, and public parking lots, EDGEMATRIX Smart Parking enables congestion monitoring, parking guidance, reduced operational workload, and data-driven decision making for more efficient facility management.

｜App Features｜

Real-Time Congestion Detection

Uses AI to analyze camera footage and determine parking lot congestion levels in real time.

Area-Based Utilization Monitoring

Configure multiple ROIs (Regions of Interest) to separately monitor and analyze utilization by parking category, such as standard vehicles, large vehicles, accessible parking, and loading zones.

All-Weather Operation

AI-powered monitoring continues to operate reliably even during rain or snowfall.

｜App Intro Video｜

Applied to Smart Parking.(※Under development image.)

｜Usage Scenes｜

Monitoring Parking Lot Congestion

We monitor parking lot congestion at service areas, parking areas, and roadside stations, provide information to users, and enhance convenience.

Service areas
Parking areas

Large commercial facility

Tourist destination

Enhancing customer satisfaction and improving operational efficiency

Monitor parking lot congestion at shopping malls and restaurants to enhance customer satisfaction. Gain real-time visibility into congestion at coin-operated parking lots to improve operational efficiency.

Commercial facility

Hourly parking lot

Airports

| Application Overview |

The application performs real-time analysis and provides the following functions:

Congestion Monitoring

Vehicle Counting

Parking Area
Utilization Analysis

Long-Term &
Unauthorized Parking Detection

Vehicle Classification

External System Integration
via Node-RED

With Node-RED, a standard feature of AI Station, inference results from
AI applications can be processed and sent formatted for integration with external systems.

Node-RED Integration & Post-Processing

EDGEMATRIX Smart Parking runs on AI Station and can be deployed in on-premises environments or private networks where internet connectivity is limited or unavailable. Unlike cloud-based solutions, a dedicated web visualization application is optional and can be customized to meet specific operational requirements.

For environments with internet access, AI inference results can be processed through Node-RED and transmitted to external systems, websites, or cloud services. This enables a wide range of integrations, including email notifications, warning lights (signal towers), external API connectivity, and dashboard visualization.

The flexible Node-RED architecture allows Smart Parking to be easily integrated into existing operational workflows and business systems, supporting scalable and customized parking management solutions.

Grafana

*This screen is taken from the analysis screen of Kaleidoscope (a multifunctional people detection app).
We plan to use a general-purpose visualization system that can be built with OSS, consisting of Grafana + InfluxDB.
*We plan to provide a manual on how to build a general-purpose visualization system and a general-purpose Node-RED flow for sending visualization data to InfluxDB.
*Compliant with Grafana dashboard functionality.
※Real-time visualization of vehicle counts by vehicle type and entry direction is possible via graphs, tables, and other formats. The raw data used for visualization can also be downloaded in CSV format.

｜Function Details｜

Detection Methods

　　　　

AI analyzes parking lot surveillance camera footage to count vehicles in designated areas in real time. The entire parking lot can be divided into customizable zones, allowing independent congestion detection for each area. For example, it can manage vehicle counts separately for “small vehicle zones,” “large vehicle zones,” “bus zones,” and more. Zone-based statistics enable analysis of parking lot usage trends and contribute to optimal zone-specific operations. Vehicles parked for extended periods within designated areas are automatically detected, triggering alert notifications when they exceed pre-set stay durations. Vehicles parked in monitored areas such as “No Parking Zones” or “Delivery-Only Zones” are also instantly detected.

Contact Us ▶

App Provider Company

Company Name:EDGEMATRIX Inc.

About Us:We contribute to society through the development of “Video Edge AI” infrastructure technology. Our mission is to implement “Video Edge AI” in society.

URL:https://edgematrix.com/en

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