Beam Mobility , a personal mobility sharing service company, is introducing an 'AI parking evaluation system' to Cheongju City and is taking full steps to establish order in parking shared electric kickboards. This system is gaining attention as a technology-based solution that aims to reduce complaints and accidents related to shared electric kickboard parking and create a safer and more organized urban transportation environment.
The AI parking evaluation system is a technology that uses AI to analyze photos of electric scooters taken by users when they finish driving in real time to determine whether they have parked correctly. When the user presses “End Driving” on the app, the camera automatically turns on and the electric scooter’s parking status is automatically captured. Afterwards, AI analyzes the photos in real time to determine whether they have parked correctly and, if necessary, guides them to retake the photos.
The captured photos are immediately analyzed by AI, and if the electric scooter is overturned, blocking the sidewalk, or left near a crosswalk or tactile paving, the app repeatedly displays a warning message that it is “incorrectly parked.” If the parking condition is deemed inappropriate, the user must press the “retake” button to retake the photo, and devices such as warning messages will guide the user to directly check and correct the parking condition. The core of the AI parking evaluation system is to help users recognize the correct parking location and shooting method and voluntarily improve it.
The AI parking evaluation system is expected to be more effective when linked with Beam Mobility's GPS-based virtual designated parking system that is already in operation. The virtual designated parking system has the advantage of maintaining parking order without physical infrastructure by encouraging users to park their electric kickboards only in designated areas on the app. However, there may be a discrepancy between the actual location and the perceived location due to GPS errors, and AI image analysis technology can complement these technical limitations to enable more precise and accurate parking judgment.
Beam Mobility also built an ‘operation dashboard’ where the operation team can directly check and provide feedback on the parking results analyzed by AI. Through this, the AI’s judgment accuracy is continuously improved, while the parking problems and patterns that frequently occur in each region are identified and an operation strategy tailored to each city is established.
A Beam Mobility official said, “This AI parking evaluation system is not simply a technology introduction, but is significant in that it has created an environment where users can create their own proper parking culture.” He added, “We will continue to prioritize the safety of users and pedestrians and continue developing technology so that shared mobility can operate more harmoniously and sustainably within urban spaces.”
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