Blind sidewalk problem inspection method

Abstract

The blind sidewalk problem inspection method comprises an information acquisition end, a blind sidewalk detection processing system and a detection result output end, the system is characterized in that the information acquisition end comprises information acquisition equipment, images acquired by the information acquisition equipment contain geographic position coordinate information, the acquired information is transmitted to the blind sidewalk detection processing system, and the blind sidewalk detection processing system detects the corresponding images, judges and classifies blind sidewalk conditions in the images and checks out defective blind sidewalks. And the obtained blind sidewalk construction and use condition classification result and the geographic position coordinate information of the corresponding image are integrated to generate a blind sidewalk construction and use condition feedback report, and the feedback report is output through a detection result output end. According to the method, the blind sidewalk conditions in the image can be judged and classified, the blind sidewalk problem can be checked, and a blind sidewalk construction and use condition feedback report is output through a detection result output end; municipal administration departments and blind sidewalk rectification construction units are assisted to grasp the overall construction condition of the regional blind sidewalk, and technical support is provided for targeted rectification. Intelligent troubleshooting, identification and classification are carried out; and the professional threshold of workers can be reduced.

Description

technical field [0001] The invention relates to a method for checking blind road problems. Background technique [0002] At present, there are more than 17 million visually impaired people in the country. As an important support for their travel, the blind road system is a crucial part of the construction of barrier-free facilities. However, a large number of urban blind roads have problems such as lack of blind road bricks, irregular laying, and occupation of obstacles. The absence, substandard or occupied part of the blind lane will make the entire blind lane unable to be effectively used by the visually impaired, thus affecting their normal travel. At the same time, the construction of blind roads is an indispensable project in municipal road construction. The construction of blind roads that do not meet national standards and use irregularities is a great waste of human, material and financial resources for municipal engineering. [0003] At present, there are some dev...

AI Technical Summary

Problems solved by technology

However, there are still the following deficiencies: (1) limited to the detection of obstacles on the tactile path, it is impossible to identify and record the problems of irregular laying of tactile path and missing of some tactile path bricks; (2) it only realizes the detection of objects, and does not propose different The identification and classification methods for blind road problems also failed to efficiently sort out the detected blind road conditions and generate feedback reports on the construction and use of blind roads in the area; (3) only provide obstacle reminders and navigation for blind people, and cannot systematize municipal blind roads Rectification provides technical support, which cannot fundamentally solve the pain points of "low construction pass rate, problems found during use and timely report generation" for blind roads

However, there are still the following deficiencies: (1) It is limited to the collection of objective data of barrier-free facilities, without intelligent identification and classification of whether there are problems; (2) It is still necessary to manually judge the collected facility information, and the barrier-free Professionals manually write barrier-free facilities and problem feedback reports, which have the problems of low identification efficiency and high professional threshold requirements for staff

The intelligent recognition of blind road types by computer has been realized, but there are still the following deficiencies: (1) Professionals still need to collect and upload blind road information on the spot, and for the establishment of blind road database, it is also necessary to manually identify the collected blind road patterns and information; ( 2) Only the blind road itself is classified, but the combined characteristics of the problematic blind road are not deeply explored to classify the problems existing in the blind road; (3) The comparison detection of the blind road image is only used to determine the geographical location of the blind road, and does not involve machine-based Visual Blind Road Problem Identification and Classification

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