INTERCITY BUS TRAVEL DRIVER OPERATING TIME TRACKING AND WARNING SYSTEM

TR202211137YActive Publication Date: 2026-06-22KASTAMONU UNIVSI REKTORLUGU
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Patent Information

Authority / Receiving Office
TR · TR
Patent Type
Utility models
Current Assignee / Owner
KASTAMONU UNIVSI REKTORLUGU
Filing Date
2022-07-05
Publication Date
2026-06-22

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Abstract

The invention relates to the vehicle's ability to continuously track the driver in real time and use facial recognition data thanks to the embedded system (2) in the vehicle, to use the vehicle management data automatically and instantly received through the web-based system (3), to warn the driver or other drivers on the bus with a voice message in case of exceeding the time limit determined by the Highway Traffic Regulations, to send an emergency code to the authorized unit by connecting to the server system (1) and the regional traffic branch directorate instantly if the driver is not changed within the desired time, preferably 5 minutes.
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Description

1 TARIFF DRIVER'S BUS OPERATION DURING INTERCITY BUS TRAVEL TIME TRACKING AND WARNING SYSTEM TECHNICAL AREA 5 This system allows bus drivers to comply with the Highways Directorate regulations during long-distance bus journeys. They are allowed to use the bus for the duration specified in the Traffic Regulations legislation, When the threshold is exceeded, the system gives a warning and the regional traffic branch directorate Embedded 10 intended to direct an emergency code warning message to the system. a driver on an intercity bus journey based on systems and the Internet of Things This relates to the bus usage time tracking and warning system. STATE OF THE ART Tachographs are checked in detail by drivers during traffic inspections. In order for this to be possible, the speed and control of the vehicles, driver rest periods, and the driver's It is a device that stores identification information in its memory. However, this device is not compatible with mobile devices. Negligence and abuses related to its use lead to bus accidents. it causes and poses very serious health problems to all individuals in the vehicle 20 It brings with it. The utility model in application number CN206239402U concerns test equipment technology. a car driver based on DSP (Digital Signal Processing) belonging to the field It provides a real-time fatigue detection system. The utility model is a technical 25 The requirements are explained as: bioradar, AD converter, signal processing module, continuous waveform. Early warning device involving the orthorhombic structure. In invention number CN110310015A, the driver's monthly working hours and early warning The threshold value, programming using these two values, and the early warning threshold is 30. By looking at the value, the driver's fatigue time is calculated, thus determining the driver's working hours. The aim is to increase security. 2 EXPLANATION OF THE INVENTION The purpose of the invention is to prevent a bus driver from exceeding the driving time limit. In this situation, the bus information is reported to the regional traffic teams with an emergency code. Another purpose of the invention is to enable bus drivers on long-distance intercity journeys to use their vehicles. Negligence and abuses in the use of tachograph devices for their purposes The goal is to find a solution. Another aim of the invention is to enable the detection of the driver's facial image via camera. based on the system, it instantly records personal information and monitors the driver's steering wheel. If the driving time threshold is exceeded, the driver is given an audible warning. It is a warning. Figure Description 15 Figure 1. Driver's bus usage time tracking during intercity bus journeys. general diagram of the warning system Reference List 1- Database-server system 2- The embedded system in the vehicle 3- Web-based system DETAILED DESCRIPTION OF THE INVENTION 25 This detailed explanation describes the invention in relation to drivers on intercity bus journeys. The bus usage time tracking and warning system helps to better understand the issue. It is explained in a way that will provide and not create any limiting effects. The invention relates to a system that utilizes an open-source library, preferably OpenCV. Using the library, the bus driver's image was captured in real-time with the help of a camera. The image is processed. In the embedded system, preferably an NVIDIA-based EN715 Jetson Xavier is used. 3 The NX AI Kit includes a camera module compatible with this AI kit. Preferably, tracking and alerting based on the You Only Look Once deep learning model (YOLO). The system monitors the person in the driver's seat of a moving vehicle via camera. Based on the facial recognition data it reads, it instantly retrieves the person's information. It records it in the system. Face detection based on image processing and deep learning 5 This process involves entering personal information into the system with labels such as "tired" or "normal". The processes are defined for each bus, within the limits set by the bus drivers. This will make a significant contribution to encouraging them to use the bus. The threshold for the bus driver's time behind the wheel is exceeded (10). In this case, the proposed system identifies the bus driver and other drivers of the identified bus. It alerts you via voice message. The duration can be set, preferably with a preset time of 5 minutes. If the tolerance time value is exceeded, the proposed system will stop while the vehicle is in motion. an emergency alert code to the regional traffic police station in the area where the bus is located It provides information with 15. In addition, the location information of the bus that violated the rules while in motion is in the server system data. It is stored in the database, and traffic police officials examine this information. In addition, If the warning system on the bus is switched off, the bus's last known location information will be displayed. Based on this information, the bus is stopped by the nearest traffic regional directorate teams. 20 Furthermore, this applies from the moment the vehicle enters traffic, from the starting route to the ending route. The system needs to be active. It must be active the moment it enters traffic. In this situation, the first vehicle license plate recognition systems in traffic display "A license plate has been read." "This is an intercity bus, and the bus tracking and warning system is not working!" Within a similar warning framework, the alarm function is activated, and thus, while underway, 25 The bus's departure start and end information and route information are available from traffic control. This information is retrieved from the system by central authorities and relevant measures are taken to stop the vehicle. The necessary information is sent to traffic regional branch officials with an urgent alert code. The following example is given only to illustrate the point and is not relevant to any 30 It does not create a limiting effect. 4 Example: 10 The vehicle's embedded system prevents the vehicle captain from exceeding the vehicle management time limit. In this case, the driver of the vehicle will be notified via voice message, and also other bus drivers or warns the captains. The number of captains required on board the vehicle is determined at the route's starting point. and in accordance with the current Highway Traffic Regulations within the framework of the route endpoint. It is defined as follows. According to the latest information received, bus usage information is 15. It is defined in the embedded system and the vehicle captain's use of the vehicle is continuous. It is monitored by an embedded system. In other words, the subject of the invention is a monitoring and warning system. By using the driver's facial recognition information, it is possible to determine if the driver has changed. It checks continuously. In this proposed system, it's not a one-time check, Continuous monitoring is provided. 20 The time elapsed following the bus driver's time overrun while in motion can be adjusted. preferably if no change of driver is detected within 5 minutes Latitude and longitude information for the bus's current location via http connection and socket. With programming, the server system and the regional traffic branch directorate authorized 25 are instantly connected. It is sent to the unit with an emergency code. The embedded system is activated by location information received from the Internet of Things environment. The relevant traffic district branch officials take the necessary measures to stop the vehicle. In this system, traffic regional branch officials can register the vehicle for traffic via screens defined for 30 days. The vehicle can enter traffic as soon as exit permits are granted. Bus Number plate No Bus Captain Ordinary Last name Bus Management Beginning Time Bus Management Finish Time History / Time Passed Duration Explanation 37 A** 87** M*** LITTLE*** 26.10.2021 / 13:00 26.10.2021 16:00 26.10.2021 13:39 0 hours 39' Time Violation None 37 A** 87** M*** LITTLE*** 26.10.2021 / 13:00 26.10.2021 16:00 26.10.2021 16:01 3 hours 01' Time Violation There is

Claims

REQUESTS 1. The invention relates to tracking the driver's driving time on intercity bus journeys. and warning system, its feature is that the driver is continuously monitored and 5 Using facial recognition data, as defined by the Highway Traffic Regulations, and Vehicle management data automatically and instantly received through the web-based system (3) If the time limit is exceeded by using this method, the driver or other passengers on the bus The vehicle's embedded system enables it to warn drivers via voice message. (2), can be adjusted to the desired time and preferably within 5 minutes the vehicle 10 Vehicle position (latitude and longitude) if the driver does not change It detects location and instantly receives information through the embedded system (2). The emergency situation is reported to the authorized unit by connecting it to the regional traffic branch directorate. It includes a server system (1) that enables it to send the code. 20 30