KR-20260067494-A - APPARATUS FOR EVALUATING SAFETY DRIVING PERSONAL MOBILITY AND METHOD THEREOF

KR20260067494AKR 20260067494 AKR20260067494 AKR 20260067494AKR-20260067494-A

Abstract

The present invention relates to a device and method for evaluating the safe operation of a personal mobility device. The device for evaluating the safe operation of a personal mobility device comprises: a communication module that communicates wirelessly with a smart terminal; a database; and a processor operatively coupled to the communication module and the database. The processor receives a video of a user from the smart terminal and determines whether a safety helmet is worn based on deep learning. It also receives a driving record of the personal mobility device from the smart terminal, measures the number of dangerous driving incidents, calculates a safe operation score based on whether a safety helmet is worn and the number of dangerous driving incidents, and evaluates the user's safe operation. Furthermore, the processor stores the user's safe operation evaluation result in the database and provides it to the smart terminal.

Inventors

임상현
윤영준
이병우

Assignees

주식회사 테이큰소프트

Dates

Publication Date: 20260513
Application Date: 20241105

Claims (9)

A communication module that communicates wirelessly with a smart terminal; database; and A processor operatively coupled to the communication module and the database; comprising, A personal mobility safety driving evaluation device characterized by the processor receiving a user's video from the smart terminal and determining whether a safety helmet is worn based on deep learning, receiving a personal mobility driving record from the smart terminal and measuring the number of dangerous driving incidents, calculating a safety driving score based on whether the safety helmet is worn and the number of dangerous driving incidents to evaluate the user's safety driving, storing the user's safety driving evaluation result in the database, and providing it to the smart terminal.
In paragraph 1, The above smart terminal is, A personal mobility safety operation evaluation device characterized by having a sharing program installed and executed for the shared use of the personal mobility.
In paragraph 1, The above smart terminal is, A safety operation evaluation device for a personal mobility, characterized by collecting a GPS log through a GPS sensor when the operation of the personal mobility starts, and transmitting the collected GPS log as an operation record of the personal mobility when the operation ends.
In paragraph 1, The above processor is, A personal mobility safety driving evaluation device characterized by measuring the number of dangerous driving incidents of sudden stop, sudden deceleration, sudden start, and sudden acceleration based on the above driving records.
In paragraph 1, The above processor is, A personal mobility safety operation evaluation device characterized by determining whether the safety helmet is worn and, if the safety helmet is not worn, transmitting a recommendation message for wearing the safety helmet to the smart terminal.
A step in which a processor receives a user's video from a smart terminal and determines whether a safety helmet is being worn based on deep learning; A step in which the processor receives a driving record of the personal mobility from the smart terminal and measures the number of dangerous driving incidents; A step in which the processor evaluates the user's safe driving by calculating a safe driving score based on whether the safety helmet is worn and the number of dangerous driving incidents; and A method for evaluating the safe operation of a personal mobility device, characterized by including the step of the processor storing the user's safe operation evaluation result in a database and providing it to the smart terminal.
In paragraph 6, The driving record of the above-mentioned personal mobility is, A method for evaluating the safe operation of a personal mobility device, characterized by GPS logs collected through a GPS sensor from the start of operation of the personal mobility device on the smart terminal until the end of operation.
In paragraph 6, The step of measuring the number of dangerous driving incidents mentioned above is, A method for evaluating safe operation of personal mobility, characterized in that the processor measures the number of dangerous operations for items of sudden stop, sudden deceleration, sudden start, and sudden acceleration based on the driving record.
In paragraph 6, The step of determining whether the above safety helmet is worn is, A method for evaluating the safe operation of a personal mobility device, further comprising the step of: the processor determining whether the safety helmet is worn and, if the safety helmet is not worn, transmitting a recommendation message for wearing the safety helmet to the smart terminal.

Description

Apparatus for Evaluating Safety Driving of Personal Mobility and Method Thereof The present invention relates to a personal mobility safety driving evaluation device and method that evaluates the user's safety driving by calculating a safety driving score based on the result of determining whether a user of personal mobility wears a safety helmet based on deep learning and the result of measuring the number of dangerous driving incidents based on driving records. Personal mobility refers to personal means of transportation powered by electricity, and typically, personal mobility is a means of transportation for one person and may include, for example, electric wheels, electric scooters, electric bicycles, micro electric vehicles, etc. Among personal mobility devices, electric scooters are used alongside existing vehicles for various reasons as a new means of transportation in modern society. Personal mobility devices such as electric scooters are in high demand due to their advantages, such as being eco-friendly means of transportation that do not emit pollutants, being small and easy to carry compared to vehicles, and not having the inconvenience of the driver's final destination and parking location being located quite far apart due to the difficulty of parking. Recently, as the sharing platform business for personal mobility devices such as electric scooters has become more active, issues regarding accidents occurring during the operation of personal mobility devices and the resulting accident handling problems are being consistently raised. Specifically, personal mobility devices such as electric scooters are classified as vehicles under the Road Traffic Act and must be operated on the roadway, but due to the nature of personal mobility devices, they are frequently driven on sidewalks. As such, the risk of accidents caused by collisions with pedestrians is pointed out when personal mobility devices travel along sidewalks or crosswalks, and it is also noted that the operational stability of personal mobility devices is reduced by road surface irregularities or slopes. In addition, it has been pointed out that personal mobility devices such as electric scooters have limitations in that, despite the fact that users' driving characteristics have a significant impact on driving safety due to their nature, there is no way to monitor individual users' driving characteristics and manage their driving status. Currently, personal mobility is subject to designated laws under the Road Traffic Act, such as driver's licenses, the wearing of helmets, and driving on designated roads, and safety rules are recommended under the pretext of failure to comply with safe driving practices, such as keeping an eye on the road ahead and prohibiting reckless driving. The background technology of the present invention is disclosed in Korean Published Patent Application No. 2024-0077607 (published June 3, 2024). The information described above disclosed in the background technology of this invention is intended only to enhance understanding of the background of the present invention and may therefore include information that does not constitute prior art. FIG. 1 is a block diagram showing a safety operation evaluation device for personal mobility according to one embodiment of the present invention. FIG. 2 is a flowchart illustrating a method for evaluating the safe operation of a personal mobility device according to an embodiment of the present invention. Hereinafter, an example of a safety operation evaluation device for personal mobility and a method according to one embodiment of the present invention will be described. In this process, the thickness of lines or the size of components depicted in the drawings may be exaggerated for the sake of clarity and convenience of explanation. Furthermore, the terms described below are defined considering their functions in the present invention, and these may vary depending on the intent or convention of the user or operator. Therefore, the definitions of these terms should be based on the content throughout this specification. Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals. Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. The implementations described herein may be implemented, for example, as methods or processes, devices, software programs, data streams, or si