Rtrilo Parking Monitor is an AI-based parking lot monitoring service that enables real-time visibility into parking conditions by analyzing camera images.
It offers two types of services: a Congestion Monitoring Service, which instantly visualizes overall congestion across the parking lot, and a Parking Space Monitoring Service, which detects the availability of individual parking spaces.
Because the service can be deployed by simply installing cameras in the parking lot, it allows for cost-effective implementation.
Based on images from a camera installed at the parking lot, the service uses a pre-trained AI model and a proprietary algorithm to determine the state of vacancies within the lot, as well as to provide information to users via the web and on signage. This system can determine the vacancies in a parking lot with just one camera overlooking the whole area. As such, it is easy to install and maintain the necessary equipment for this system compared to conventional information collection methods that require a sensor at each parking space. This means that Rtrilo Parking Monitor can be implemented at a low cost.
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- Overview of the congestion monitoring service
Captured images are managed in a cloud server, allowing for the status of multiple parking lots to be understood in a cross-sectional manner. It is also possible to check usage history.
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- Example of screen showing parking lot usage
Deep learning technology is being utilized at an increasing rate within the field of image recognition. When combined with a dedicated algorithm proprietarily developed to mitigate climate effects such as mist as well as timeline variation, this boosts the system's accuracy in understanding the status of parking lots. We are currently filing for a patent regarding this system. (Japanese Patent No. 7458812)
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- Example of the system identifying a full parking lot
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- Example of the system identifying a parking lot with many vacancies
Based on images from a camera installed at the parking lot, the service monitors the status of parking spaces and sends notifications to other systems, such as digital signage that displays the status, or information provision systems.
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- Overview of the parking space monitoring service
Using deep learning—a technology that is being utilized more and more in the field of image processing—combined with a dedicated algorithm developed in-house, this service calculates the parking time for each parking space. This enables the sharing of information about vacancies as well as the analysis of parking time in each parking space.
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- Example of screen showing parking lot usage
The Rtrilo Parking Monitor was installed in this parking area because of expected congestion due to construction. (January 2026)
The images from multiple overhead cameras were used to monitor more than 90 parking spaces simultaneously, and the acquired availability status of each parking space was provided to drivers on the expressway in real time, thereby supporting smooth use of parking areas.
