A parking space number identification method and device, electronic equipment and storage medium

By using panoramic cameras and multi-model recognition technology, the problems of slow speed and low accuracy of traditional parking space number recognition have been solved, achieving efficient and accurate parking space number detection and management.

CN115512285BActive Publication Date: 2026-06-16HANGZHOU ZOHO INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HANGZHOU ZOHO INFORMATION TECH CO LTD
Filing Date
2022-10-14
Publication Date
2026-06-16

AI Technical Summary

⚠Technical Problem

Traditional parking space number recognition methods are slow and have low accuracy, making them ineffective in managing the matching of vehicles and parking spaces in cities.

⚗Method used

A panoramic camera is used to capture panoramic images of the parking lot. Through a trained parking space number location recognition model, text direction correction model, and text recognition model, the location and key point information of the parking space number are identified, and image conversion and angle correction are performed to improve recognition accuracy.

🎯Benefits of technology

This significantly improves the speed and accuracy of parking space number detection, enhancing the efficiency and precision of parking space number management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a parking space number recognition method and device, electronic equipment and a storage medium. The parking space number recognition method comprises the following steps: inputting a panoramic image of a parking lot to be detected into a trained parking space number position recognition model to determine position information of a parking space number and key point information of the parking space number in the panoramic image; converting the panoramic image into a corresponding cube face map image, and determining a first parking space number image from the cube face map image based on the position information of the parking space number and the key point information of the parking space number in the converted cube face map image; inputting the first parking space number image into a trained character direction correction model to determine a second parking space number image after correction; and inputting the second parking space number image into a trained character recognition model to determine parking space number information in the parking lot to be detected. The application improves the detection speed and accuracy of the parking space number.
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