TWI430901B - Vehicle management and monitoring system and method thereof - Google Patents

Description

Vehicle management monitoring system and method thereof

The invention relates to a management monitoring system and a method thereof, in particular to a vehicle management monitoring system applied to a official vehicle or a fleet and a method thereof.

Most of the conventional vehicle management systems are provided with a detection mechanism for detecting biometric authentication information such as a driver's fingerprint or iris on the vehicle, and the driver needs to pass the biometric authentication test before driving the vehicle. However, biometric authentication information such as fingerprints or irises are required by the driver to provide detection, so there are still loopholes in vehicle management.

Furthermore, in a general vehicle management system, it is only possible to judge whether the driver has the authority to drive, and fail to make a judgment or warning to the driver's spirit and driving condition, and thus has not been able to be used for the passengers and the vehicle. Safety has complete monitoring and protection.

Therefore, most of the conventional vehicle management systems only focus on the anti-theft mechanism, and do not have a comprehensive plan for vehicle management. Especially when the official vehicles used by enterprises are improperly used by employees, it is unable to provide mechanisms for preventive and post-event management. .

The present invention is a vehicle management monitoring system and method thereof, which manages a driver of a driving vehicle through a dual identification mechanism of facial images and fingerprints.

The present invention relates to a vehicle management monitoring system and method thereof, which monitors a vehicle through a vehicle main body mounted on a vehicle and a handheld host disposed separately therefrom, so that the vehicle manager can know whether the driver is through the handheld host For the approved driver.

The present invention is a vehicle management monitoring system and method thereof for actively monitoring a driver of a vehicle by actively taking a driver's face image and analyzing whether the driver is an approved driver.

The present invention is a vehicle management monitoring system and method thereof for analyzing an eye image in a facial image to determine whether the driver is fatigued or dangerously driving, and to issue a reminder message in a timely manner.

In order to achieve the above effects, the present invention further provides a vehicle management monitoring system, comprising: a vehicle host, disposed on a vehicle, and the vehicle host includes: a first fingerprint capture module for providing one of the vehicles The driver inputs a fingerprint; an image capture module for capturing a facial image of the driver; and a first analysis processing module for processing the fingerprint and the facial image to generate a fingerprint information and a face Image information; a first storage module for storing fingerprint information and facial image information; and a first transmission module for transmitting fingerprint information and facial image information; and a handheld host for use with the vehicle The host is separated, and the handheld host includes: a second transmission module connected to the first transmission module by wire transmission or wireless transmission to receive fingerprint information and facial image information; and a second storage module For storing a plurality of nuclear fingerprint information and a plurality of nuclear face image information, and each core fingerprint information and each nuclear face image information corresponds to a nuclear driver; The analysis module is configured to analyze fingerprint information and facial image information downloaded from the vehicle host, and compare and analyze the fingerprint information and the approved face image information to generate a comprehensive analysis result; and a human machine Interface to display the results of the comprehensive analysis.

In order to achieve the above effects, the present invention further provides a vehicle management monitoring method, comprising the steps of: obtaining a fingerprint of one of a driver of a vehicle and a facial image of the driver, which is obtained by a vehicle host; Fingerprint and facial image to generate a fingerprint information and a facial image information, and store it in the vehicle host; transmit fingerprint information and facial image information to a handheld host; analyze fingerprint information and facial image information, handheld The host computer compares the fingerprint information and the facial image information with the plurality of nuclear fingerprint information and the plurality of nuclear face image information to generate a comprehensive analysis result; and displays the comprehensive analysis result by hand-held The host displays; wherein each core fingerprint information and each core face image information corresponds to a core driver.

With the implementation of the present invention, at least the following advancements can be achieved:

1. Manage the vehicle through the dual identification mechanism of fingerprint and facial image to achieve the function of providing a complete management and monitoring system.

Second, the vehicle manager can know whether the driver is an approved driver through the handheld host to achieve the function of monitoring the vehicle.

Third, combined with eye movement pupil analysis technology to analyze the driver's eye image, and determine whether the driver is in a dangerous driving state, in a timely manner to send a reminder message to protect the driver's life safety.

Fourth, the monitoring and analysis results can be clearly presented through the handheld host to facilitate vehicle management.

In order to make those skilled in the art understand the technical content of the present invention and implement it, and according to the disclosure, the patent scope and the drawings, the related objects and advantages of the present invention can be easily understood by those skilled in the art. The detailed features and advantages of the present invention will be described in detail in the embodiments.

1 is a system block diagram of a vehicle management monitoring system according to an embodiment of the present invention. FIG. 2 is a schematic diagram of a vehicle host 200 according to an embodiment of the present invention. FIG. 3 is a schematic diagram of a handheld host 400 according to an embodiment of the present invention. Fig. 4A is a schematic diagram showing the results of a comprehensive analysis of the first embodiment of the present invention. Figure 4B is a schematic diagram showing the results of a comprehensive analysis of the second embodiment of the present invention. Fig. 4C is a schematic diagram showing the results of a comprehensive analysis of the third embodiment of the present invention. The 4D figure is a schematic diagram of a comprehensive analysis result of the fourth embodiment of the present invention. Fig. 4E is a schematic diagram showing the results of a comprehensive analysis of the fifth embodiment of the present invention. Fig. 4F is a schematic diagram showing the results of a comprehensive analysis of the sixth embodiment of the present invention.

As shown in FIG. 1 , the present embodiment is a vehicle management monitoring system including a vehicle host 200 and a handheld host 400. The vehicle main body 200 is disposed on a vehicle, for example, may be disposed on a windshield or an instrument panel (not shown) of the vehicle, and the handheld main body 400 is separately disposed from the vehicle main body 200 and may be disposed by the vehicle manager. Carry to monitor the state of use of the vehicle.

As shown in FIG. 1 and FIG. 2, the vehicle host 200 can include at least: a first fingerprint capture module 210; an image capture module 220; a first analysis processing module 230; The module 240; and a first transmission module 250.

The first fingerprint capture module 210 can be used to provide a driver of the vehicle to input his fingerprint, thereby obtaining a fingerprint of the driver of the vehicle. In addition, the first fingerprint capture module 210 can further provide control for the driver to input his fingerprint as a fingerprint information for later comparison.

The image capturing module 220 can include a CCD image capturing module or a CMOS image capturing module. The image capturing module 220 can be used to actively capture the driver's facial image continuously, or can capture the driver's facial image during the vehicle's travel time. For example, 3-5 images can be captured every 10 minutes. Prevent the approved driver from being replaced by a non-core driver while driving. In addition, the image capturing module 220 can also control the face image of the approved driver as the approved facial image information for later comparison.

The first analysis processing module 230 is configured to process the fingerprints and facial images of the driver or the approved driver, and convert the fingerprint and the facial image respectively to generate a fingerprint information and a facial image information, and the driving is approved. The fingerprint information and facial image information can be used as fingerprint information and approved facial image information. The first analysis processing module 230 can be an image micro processing module, and when the fingerprint and the facial image are analog images, the first analysis processing module 230 needs to convert the analog image into a digital image.

In an embodiment, the vehicle host 200 may further include a reminder unit 260. When the first analysis processing module 230 does not receive a fingerprint (representing the driver deliberately or forgotten to input his fingerprint), or the facial image information is not When the integrity of the driver's facial features is covered or over the face, the first analysis processing module 230 can output a reminder signal to the reminder unit 260, and cause the reminder unit 260 to send a reminder message, thereby prompting the driver to input the same. Fingerprint, remove items covering your face or face your face in the driving direction.

The first storage module 240 is, for example, a memory that can be used to store fingerprint information and facial image information generated by the first analysis processing module 230, or can be stored by an external input or the first analysis processing module 230. Approved fingerprint information and approved facial image information.

The first transmission module 250 can be used for outputting fingerprint information, facial image information, fingerprint information, and approved facial image information, or can be used for receiving externally input nuclear fingerprint information and approved facial image information. . The first transmission module 250 can be a wired transmission module or a wireless transmission module, such as a USB transmission module, a Bluetooth transmission module, a wifi wireless network transmission module, or a 3G wireless network transmission module.

Referring to FIG. 1 again, the vehicle main body 200 may further include an alert unit 270. The first analysis processing module 230 can further convert the facial image information into the facial image information, and further analyze the eye image information in the facial image information, and process the eye image information through the eye movement pupil analysis technology. According to this, a focus analysis is carried out, in which the eye movement pupil analysis technique or other techniques for processing the eye image information is a conventional technique, and will not be further described herein.

When the concentration analysis results in the focus analysis, the driver's eye closure time exceeds the threshold value (for example, more than 5 seconds) or the driver's pupil gaze direction deviates from the angle threshold (for example, the pupil gaze direction deviates from positive The front of the analysis processing module 230 defines the focus analysis result as the driver is in a dangerous driving state, and outputs a warning signal to the warning unit 270 to cause the warning unit 270 to issue a warning. In an embodiment, the warning unit 270 can be a horn, and after receiving the warning signal output by the first analytic processing module 230, an alert sound is emitted to prevent the driver from being accidentally injured due to excessive fatigue or distraction. To achieve the safety of passengers and vehicles.

In addition, the first analysis processing module 230 can also compare and analyze the fingerprint information and the facial image information of the driver with the nuclear fingerprint information and the approved facial image information stored in the first storage module 240. When the first analysis processing module 230 compares the matching information, the driver is defined as the approved driver. On the other hand, when the first analysis processing module 230 does not compare the matching information, the driver is defined as a non-core driver, and the warning signal is output to the warning unit 270, so that the warning unit 270 issues a warning, thereby reminding the driver. The driver is not an approved driver and warns the driver that the vehicle manager has been notified of the relevant information, thereby deterring the non-approved driver from continuing to drive the vehicle.

Furthermore, if only the matching fingerprint information is matched or only the matching face image information is matched (ie, only one of the fingerprint and the face image meets), the first The analysis processing module 230 also outputs an alert signal to the alert unit 270.

Referring to FIG. 1 again, the first analysis processing module 230 can be further connected to a GPS device 300 to record the coordinate position of the vehicle host 200. The coordinate position can be combined with time and driver related information (including whether or not the core is received. The driving condition can be transmitted to the handheld host 400 through the first transmission module 250, and can be immediately transmitted to the handheld host 400 so that the vehicle manager can immediately grasp the position of the vehicle.

In addition, the vehicle main unit 200 can further include an infrared light source module (not shown), which can be used as an auxiliary light source of the image capturing module 220 to provide infrared light in the case of insufficient light or night to enhance the image. The image capturing effect of the module 220 is captured. As shown in FIG. 2, the outer side of the housing of the vehicle main body 200 further includes a fixing mechanism 211, which can be disposed at the bottom or the back of the housing of the vehicle main body 200, so that the vehicle main body 200 can pass through the fixing mechanism. The 211 is fixed on the windshield of the vehicle or the instrument panel, wherein the fixing mechanism 211 can be a suction cup type fixing seat, and a universal joint is also connected between the suction cup type fixing base and the vehicle main body 200 (not shown). To adjust the tilt angle of the vehicle main unit 200 through the universal joint.

As shown in FIG. 1 and FIG. 3, the handheld host 400 includes a second transmission module 410, a second storage module 420, a second analysis processing module 430, and a human interface 440.

The second transmission module 410 can be a wired transmission module (such as a USB transmission module) or a wireless transmission module (such as a Bluetooth transmission module, a wifi wireless transmission module, or a 3G wireless transmission module). The second transmission module 410 can be connected to the first transmission module 250 of the vehicle host 200 through a wired transmission mode or a wireless transmission manner to receive fingerprint information, facial image information, and core obtained by the vehicle host 200. Fingerprint information and approval of facial image information.

The second storage module 420 can be a memory for storing a plurality of nuclear fingerprint information and a plurality of nuclear face image information, and each of the cores can respectively correspond to a core fingerprint information and a Approving facial image information, for example, A-core fingerprint information and A-core face image information correspond to A-core driver, B-core fingerprint information and B-core face image information corresponding to B-core driver The rest and so on. The fingerprint information and the approved facial image information can be transmitted from the background host 500 to the second storage module 420 of the handheld host 400 through wired transmission or wireless transmission, or can be obtained through the vehicle host 200. The fingerprint information and the facial image information of the driver are used as the fingerprint information and the facial image information, and are transmitted to the second storage module 420 through the first transmission module 250 and the second transmission module 410 for storage. .

The fingerprint information and the approved facial image information that are originally stored in the second storage module 420 can also be transmitted to the first transmission module 250 through the second transmission module 410 and stored in the first storage module 240. .

The second analysis processing module 430 is configured to analyze the fingerprint information and the facial image information downloaded from the vehicle host 200, and analyze the fingerprint information and the approved facial image information in the second storage module 420. Yes, to produce a comprehensive analysis of the results.

As shown in FIG. 4A, the comprehensive analysis result may include the driver's facial image information 611, the fingerprint information 612, and the driver's driving state analysis map 613, or as shown in FIGS. 4B and 4C, the comprehensive analysis result. The driving time analysis map 614 for driving the same vehicle may be included. In FIG. 4C, the driving time analysis map further indicates whether the driver is a nuclear driver, and the driver's pattern may further display a pattern. A circle mark, and an exclamation mark is further displayed above the non-core driver's schema.

In addition, as shown in FIG. 4D, the comprehensive analysis result may further include whether the driver is a approved driver and displayed in the driving time analysis map 615, for example, may be classified as a approved driver (eg, a driver A and Approved for driving C) and non-approved drivers (eg non-approved B, non-credit D and non-licensed E). For example, in the period 1 and the period 3, driving is performed by the nuclear driving A and the nuclear driving C, respectively. In the period 2, the driver is driven by the non-nuclear driving B, and the non-nuclear driving B does not input its fingerprint or fails to find the matching information in the approved fingerprint information, and cannot be compared in the approved facial image information. For the matching information (indicated by the X side X), it is determined that the driving B is a non-core driver.

In the period 4, the driver is driven by the non-core driver D. However, although the information matching the fingerprint information of the non-core driver D can be compared in the fingerprint information, it cannot be compared in the approved face image information. To the matching information (indicated by the O face X), it is still determined that the driving D is a non-core driver. In the period 5, the driver is driven by the non-nuclear driving E. Although the same facial image information as the non-nuclear driving E can be compared in the approved facial image information, there is no comparison in the approved fingerprint information. The matching fingerprint information (indicated by the X side O), therefore determines that the driving E is a non-core driver.

In summary, it is necessary to compare the approved fingerprint information and the approved facial image information in the approved information to determine that the driver is the approved driver. As long as any of the matching information is missing, it is still determined. The driver is a non-core driver, so the vehicle can be managed by a dual identification mechanism to provide a complete vehicle management monitoring system.

The human interface 440 can include an LCD display, an LED display, or a touch display for displaying comprehensive analysis results, and can refer to FIG. 3 at the same time. The human interface 440 can further include a text input device. 441, to provide vehicle management for text input.

Referring to FIG. 4E, when the first analysis processing module 230 of the vehicle host 200 outputs an alert signal, in addition to the warning unit 270 issuing a warning, the vehicle host 200 can also transmit the warning signal to the handheld through wireless transmission. The host 400 is such that the screen of FIG. 4E is displayed on the human interface 440, and the vehicle manager is notified that the driver of the current vehicle is a non-core driver. In addition, when the second analysis processing module 430 of the handheld host 400 outputs the reminder signal to the reminder unit 460 of the handheld host 400, the human interface 400 also displays the screen as shown in FIG. 4E.

As shown in FIG. 4F, when the focus analysis result generated by the first analysis processing module 230 of the vehicle host 200 is that the driver is in a dangerous driving state, the first analysis processing module 230 outputs a warning signal to In addition to the warning unit 270, the vehicle host 200 can also transmit the warning signal to the handheld host 400 through wireless transmission so that the screen of the 4F is displayed on the human interface 440.

As shown in FIG. 1 and FIG. 3, the handheld host 400 can further include a second fingerprint capture module 450, and the driver can directly input the fingerprint through the second fingerprint capture module 450. The fingerprint is converted into fingerprint information by the second analysis processing module 430 as the fingerprint information and stored in the second storage module 420.

In addition, the second storage module 420 can also store the fingerprint information of the vehicle manager, and the vehicle manager can input the fingerprint through the second fingerprint capture module 450, and the second analysis processing module 430 re-enters the vehicle. After the fingerprint of the manager is converted into fingerprint information, the fingerprint information of the second storage module 420 is compared with the fingerprint information of the second storage module 420, thereby identifying whether the vehicle manager has the right to use the handheld host 400.

In an embodiment, the handheld host 400 may further include a reminder unit 460, when the second analysis processing module 430 fails to compare the information corresponding to the fingerprint information and the facial image information, the driver's The fingerprint information and the facial image information are not recorded in the second storage module 420. Therefore, the second analysis processing module 430 defines the driver as a non-core driver and outputs a reminder signal to the reminder unit 460. So that the reminding unit 460 sends a reminder message. Moreover, the second analysis processing module 430 also outputs a reminder signal to the reminding unit 460 if only the matching fingerprint information is matched or only the matching face image information is matched.

Moreover, when the second analysis processing module 430 does not receive the fingerprint information (representing the driver deliberately or forgotten to input the fingerprint thereof), or the facial image information is incomplete (representing that the driver's facial features are covered or overturned) The second analysis processing module 430 outputs a reminder signal to the reminding unit 460, and causes the reminding unit 460 to send a reminder message, thereby reminding the vehicle manager of the abnormal state.

FIG. 5A is a flowchart of a method for monitoring a vehicle management method according to an embodiment of the present invention. FIG. 5B is a flowchart of a method for monitoring another vehicle management method according to an embodiment of the present invention.

As shown in FIG. 1 and FIG. 5A, in order to cooperate with the vehicle management monitoring system, the present embodiment further describes a vehicle management monitoring method, which includes the following steps: obtaining a driving fingerprint and a facial image (step S20); Fingerprint information and facial image information (step S40); transmitting fingerprint information and facial image information to the handheld host 400 (step S60); generating a comprehensive analysis result (step S80); and displaying the comprehensive analysis result (step S100).

The following is an in-depth description of the individual steps.

Obtaining the fingerprint and the facial image of the driving (step S20): the driver of the vehicle is input by the first fingerprint capturing module 210 of the vehicle host 200, and is actively activated by the image capturing module 220 of the vehicle host 200. The driver's face image is continuously captured.

Generating fingerprint information and facial image information (step S40): processing the driver's fingerprint and facial image by the first analysis processing module 230 of the vehicle host 200 to generate corresponding fingerprint information and facial image information, and The fingerprint information and the facial image information may be stored in the first storage module 240 of the vehicle host 200.

Transmitting the fingerprint information and the facial image information to the handheld host 400 (step S60): transmitting the fingerprint information and the facial image information to the handheld host 400 through the first transmission module 250 of the vehicle host 200, and the handheld host The 400 can transmit information to the first transmission module 250 by using the second transmission module 410 in a wired transmission manner or a wireless transmission manner.

A comprehensive analysis result is generated (step S80): since a plurality of nuclear fingerprint information and a plurality of nuclear face image information are pre-stored in the second storage module 420 of the handheld host 400, and each core can be driven by the driver Corresponding to one core fingerprint information and one core face image information. Therefore, the second analysis processing module 430 of the handheld host 400 can analyze and compare the received fingerprint information and the facial image information with the fingerprint information and the approved facial image information to generate a comprehensive analysis result. . Among them, the description of the comprehensive analysis results has been described in detail above, and will not be further described herein.

Displaying the comprehensive analysis result (step S100): the comprehensive analysis result can be displayed through the human machine interface 440 of the handheld host 400, so that the vehicle manager can immediately grasp the use state of the vehicle, wherein displaying the comprehensive analysis result can include displaying the driver The facial image information, the fingerprint information, whether the driver is the approved driver, a driving time analysis map of the driving vehicle or one of the driver's driving state analysis diagrams, and the related description has also been explained above, and will not be described again here. .

As shown in FIG. 5B, the vehicle management monitoring method further includes a dangerous driving determination step (step S41), and after generating the fingerprint information and the facial image information (step S40), the first analysis processing mode of the vehicle host 200 The group 230 can further analyze the eye image information in the facial image information and perform the concentration analysis, and when the focus analysis result is that the driver is in a dangerous driving state, the first analysis processing module 230 outputs a warning. The signal is sent to the warning unit 270 of the vehicle main unit 200 to cause the warning unit 270 to issue a warning (step S42), thereby alerting the driver to pay attention to the driving condition and avoiding an accident due to excessive fatigue or distraction of the driver. Among them, the description of the concentration analysis has been detailed as above, and will not be repeated here.

As shown in FIG. 5B, the vehicle management monitoring method further includes a step of establishing a verification information (step S10), the approval information includes the nuclear fingerprint information and the approved facial image information, wherein the approved information can be stored in the vehicle. The first storage module 240 of the host 200 is in the second storage module 420 of the handheld host 400.

The core information in the first storage module 240 can be obtained by the first fingerprint capture module 210 and the image capture module 220 of the vehicle host 200, respectively, and the fingerprint and facial image of the driver can be obtained and then added. After the conversion is performed, the fingerprint information and the facial image information are verified and stored in the first storage module 240. Alternatively, the core information previously stored in the second storage module 420 of the handheld host 400 is transmitted to the vehicle host 200 and stored in the first storage module 240.

The core information in the second storage module 420 can be transmitted from the background host 500 to the handheld host 400 through wired transmission or wireless transmission, and stored in the second storage module 420. Alternatively, the core user's fingerprint information and the approved face image information obtained by the first fingerprint capture module 210 and the image capture module 220 of the vehicle host 200 are transmitted by the vehicle host 200 to The handheld host 400 is further stored in the second storage module 420 of the handheld host 400.

In addition, the approved driver can also input the fingerprint of the second fingerprint capture module 450 of the handheld host 400 as the fingerprint information and store it in the second storage module 420.

In step S20, the method further includes determining whether the fingerprint and the facial image are obtained (step S21). When the first analysis processing module 230 of the vehicle host 200 does not receive the fingerprint of the driver or the complete facial image, the first An analysis processing module 230 outputs a reminder signal to the reminder unit 260 of the vehicle host 200 to cause the reminder unit 260 to issue a reminder message (step S22), or the second analysis processing module 430 of the handheld host 400 does not receive When the fingerprint information or the complete facial image information is obtained, the second analysis processing module 430 also outputs a reminder signal to the reminder unit 460 of the handheld host 400 to cause the reminding unit 460 to issue a reminder message (step S22).

In step S80, the method further includes determining whether the driver is a nuclear driver (step S81), wherein step S81 can be performed only by the handheld host 400 or simultaneously by the vehicle host 200 and the handheld host 400.

When the first storage module 240 of the vehicle host 200 stores the approval information, the first analysis processing module 230 of the vehicle host 200 can further store the fingerprint information and the facial image information in the first storage mode. The nuclear fingerprint information and the approved facial image information in the group 240 are analyzed and compared. When the first analysis processing module 230 does not compare the matching information, the driver is defined as a non-core driver and output. A warning signal is sent to an alert unit 270 of the vehicle host 200 to cause the alert unit 270 to issue a warning (step S82).

The second analysis processing module 430 of the handheld host 400 compares the fingerprint information or the facial image information with the approved information stored in the second storage module 420 when the comprehensive analysis result is generated. In the comprehensive analysis result, when one of the fingerprint information and the facial image information does not match the matching information, the second analysis processing module 430 defines the driver as a non-core driver and outputs a reminder signal. The reminder unit 460 is sent to one of the handheld hosts 400 to cause the reminder unit 460 to issue a reminder message (step S82), thereby enabling the vehicle manager to immediately grasp the condition of the vehicle.

The embodiments are described to illustrate the features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the present invention and to implement the present invention without limiting the scope of the present invention. Equivalent modifications or modifications made by the spirit of the disclosure should still be included in the scope of the claims described below.

200. . . Car host

210. . . First fingerprint capture module

211. . . Fixing mechanism

220. . . Image capture module

230. . . First analysis processing module

240. . . First storage module

250. . . First transmission module

260. . . Reminder unit

270. . . Warning unit

300. . . GPS device

400. . . Handheld host

410. . . Second transmission module

420. . . Second storage module

430. . . Second analysis processing module

440. . . Human machine interface

441. . . Text input device

450. . . Second fingerprint capture module

460. . . Reminder unit

500. . . Background host

611. . . Facial image information

612. . . Fingerprint information

613. . . Driving status analysis chart

614. . . Driving time analysis chart

615. . . Driving time analysis chart

1 is a system block diagram of a vehicle management monitoring system according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of a vehicle host 200 according to an embodiment of the present invention.

FIG. 3 is a schematic diagram of a handheld host 400 according to an embodiment of the present invention.

Fig. 4A is a schematic diagram showing the results of a comprehensive analysis of the first embodiment of the present invention.

Figure 4B is a schematic diagram showing the results of a comprehensive analysis of the second embodiment of the present invention.

Fig. 4C is a schematic diagram showing the results of a comprehensive analysis of the third embodiment of the present invention.

The 4D figure is a schematic diagram of a comprehensive analysis result of the fourth embodiment of the present invention.

Fig. 4E is a schematic diagram showing the results of a comprehensive analysis of the fifth embodiment of the present invention.

Fig. 4F is a schematic diagram showing the results of a comprehensive analysis of the sixth embodiment of the present invention.

FIG. 5A is a flowchart of a method for monitoring a vehicle management method according to an embodiment of the present invention.

FIG. 5B is a flowchart of a method for monitoring another vehicle management method according to an embodiment of the present invention.

200. . . Car host

210. . . First fingerprint capture module

220. . . Image capture module

230. . . First analysis processing module

240. . . First storage module

250. . . First transmission module

260. . . Reminder unit

270. . . Warning unit

300. . . GPS device

400. . . Handheld host

410. . . Second transmission module

420. . . Second storage module

430. . . Second analysis processing module

440. . . Human machine interface

450. . . Second fingerprint capture module

460. . . Reminder unit

500. . . Background host

Claims (24)

A vehicle management monitoring system, comprising: a vehicle host, disposed on a vehicle, and the vehicle host includes: a first fingerprint capture module for providing a driver of the vehicle to input a fingerprint; An image capture module for capturing a facial image of the driver; a first analysis processing module for processing the fingerprint and the facial image to generate a fingerprint information and a facial image information; a first storage module for storing the fingerprint information and the facial image information; and a first transmission module for transmitting the fingerprint information and the facial image information; and a handheld host with the vehicle Separating the setting by the host, and the handheld host includes: a second transmission module connected to the first transmission module by wire transmission or wireless transmission to receive the fingerprint information and the facial image information; The second storage module is configured to store a plurality of nuclear fingerprint information and a plurality of nuclear face image information, and each of the nuclear fingerprint information and each of the nuclear face image information corresponds to a core driveable By; The second analysis processing module is configured to analyze the fingerprint information and the facial image information downloaded from the vehicle host, and compare and analyze the fingerprint information and the nuclear facial image information to A comprehensive analysis result is generated; and a human-machine interface is used to display the comprehensive analysis result. The vehicle management monitoring system of claim 1, wherein the vehicle host further comprises an alerting unit, and the first analyzing processing module further analyzes one eye image information in the facial image information, according to which Performing a focus analysis, when one of the focus analysis results is that the driver is in a dangerous driving state, the first analysis processing module outputs a warning signal to the warning unit to cause the warning unit to issue a warning. . The vehicle management monitoring system of claim 2, wherein the concentration analysis system processes the eye image information through an eye-opening pupil analysis technique, when the driver's eye closure time exceeds a threshold value or the driving The first analysis processing module issues the warning signal when the pupil's pupil gaze direction deviates from the angle threshold. The vehicle management monitoring system of claim 1, wherein the nuclear fingerprint information and the nuclear facial image information are transmitted from a background host to the second storage module. The vehicle management monitoring system of the first aspect of the invention, wherein the nuclear fingerprint information and the nuclear facial image information are further transmitted to the first transmission module through the second transmission module and stored In the first storage module. The vehicle management monitoring system of claim 1, wherein the first fingerprint capture module further provides the driver with the fingerprint input as the fingerprint information, and the image capture module further The face image of the driver is taken as the face image information, wherein the core fingerprint information captured by the first fingerprint capture module is captured by the image capture module The core image information is further stored in the first storage module or the second storage module. The vehicle management monitoring system of claim 5, wherein the first analysis processing module further stores the fingerprint information and the facial image information with the cores stored in the first storage module. The fingerprint information and the verifiable facial image information are compared and analyzed, and when the first analysis processing module does not compare the matching fingerprint information or the nuclear face image information, the driving is defined. The driver is a non-core driver and outputs a warning signal to one of the warning units of the vehicle host to cause the warning unit to issue a warning. The vehicle management monitoring system of claim 1, wherein the vehicle host further includes a reminder unit, when the first analysis processing module does not receive the fingerprint information or the complete facial image information, The first analysis processing module outputs a reminder signal to the reminder unit to cause the reminder unit to issue a reminder message. The vehicle management monitoring system of claim 1, wherein the handheld host further comprises a second fingerprint capture module, wherein the driver can input the fingerprint through the second fingerprint capture module. As the nuclear fingerprint information. The vehicle management monitoring system of claim 1, wherein the displaying the comprehensive analysis result comprises displaying the facial image information, the fingerprint information, whether the driver is the approved driver, driving the driving of the vehicle. A time analysis map or a driving state analysis map of the driver. The vehicle management monitoring system of claim 1, wherein the handheld host further comprises a reminding unit, wherein the comprehensive analysis result indicates that the fingerprint information or the facial image information of the driver is not recorded in the In the second storage module, the second analysis processing module defines the driver as a non-core driver and outputs a reminder signal to the reminder unit to cause the reminder unit to send a reminder message. The vehicle management monitoring system of claim 1, wherein the handheld host further comprises a reminding unit, when the second analyzing processing module does not receive the fingerprint information or the complete facial image information, The second analysis processing module outputs a reminder signal to the reminder unit to cause the reminder unit to issue a reminder message. A vehicle management monitoring method includes the steps of: obtaining a fingerprint of one of a driver of a vehicle and a facial image of the driver, which is obtained by a vehicle host; processing the fingerprint and the facial image, Generating a fingerprint information and a facial image information, and storing the information on the vehicle host; transmitting the fingerprint information and the facial image information to a handheld host; analyzing the fingerprint information and the facial image information, the handheld The host computer compares the fingerprint information and the facial image information with the plurality of nuclear fingerprint information and the plurality of nuclear face image information to generate a comprehensive analysis result; and displays the comprehensive analysis result, which is Displayed by the handheld host; wherein each of the nuclear fingerprint information and each of the nuclear face image information corresponds to a core driver. The vehicle management monitoring method of claim 13, further comprising a dangerous driving determination step, wherein the analysis module of the vehicle host further analyzes an eye image information in the facial image information, and according to This performs a focused analysis. When one of the focus analysis results is that the driver is in a dangerous driving state, the analysis module of the vehicle host outputs a warning signal to one of the vehicle hosts. a unit to cause the warning unit of the vehicle host to issue a warning. The vehicle management monitoring method according to claim 14, wherein the concentration analysis system processes the eye image information through an eye-opening pupil analysis technique, when the driver's eyes are closed for more than one time threshold or the driving When the pupil gaze direction deviates from the angle threshold, the analysis processing module of the vehicle host sends the warning signal. The vehicle management monitoring method of claim 13, further comprising the step of establishing a verification information, wherein the fingerprint information and the cores are transmitted from a background host through a wired transmission method or a wireless transmission method. Face image information can be sent to the handheld host. The vehicle management monitoring method of claim 13, further comprising a step of establishing a verification information, wherein the nuclear fingerprint information and the nuclear face image information in the handheld host are The handheld host is transferred to the vehicle host. The vehicle management monitoring method of claim 13, further comprising the step of establishing a verification information, wherein the fingerprint of the nuclear driver is obtained by using a fingerprint capture module of the vehicle host as the core Fingerprint information, and the image of the driver's face is captured by the image capture module of the vehicle as the core image information, wherein the core is captured by the fingerprint capture module The fingerprint information and the nuclear facial image information captured by the image capturing module are further stored in the vehicle host or the handheld host. The method for monitoring vehicle management according to claim 17 or 18, wherein in the step of analyzing the fingerprint information and the facial image information, the vehicle host further stores the fingerprint information and the facial image information in the The nuclear fingerprint information and the nuclear facial image information in the vehicle host are analyzed and compared, and when the matching fingerprint information and the nuclear face image information are not compared, the definition is defined. The driver is a non-core driver and outputs a warning signal to one of the warning units of the vehicle host to cause the warning unit to issue a warning. The vehicle management monitoring method of claim 13, wherein in the step of obtaining the fingerprint and the facial image of the driver, when the fingerprint or the complete facial image is not obtained, the vehicle is used. One of the host analysis processing modules outputs a reminder signal to one of the vehicle host reminder units to cause the reminder unit to issue a reminder message. The vehicle management monitoring method of claim 13, further comprising a step of establishing a verification information, wherein the driver is provided by the fingerprint capture module of the handheld host through the handheld host The fingerprint capture module inputs its fingerprint as the core fingerprint information. The vehicle management monitoring method according to claim 13, wherein displaying the comprehensive analysis result includes displaying the facial image information, the fingerprint information, whether the driver is the approved driver, driving the driving of the vehicle. A time analysis map or a driving state analysis map of the driver. The vehicle management monitoring method of claim 13, further comprising a reminding step, wherein the fingerprint information or the facial image information does not match the nuclear fingerprint information and the cores in the comprehensive analysis result When the facial image information matches, the driver is defined as a non-core driver, and one of the handheld hosts reminds the unit to send a reminder message. The vehicle management monitoring method of claim 13, further comprising a reminding step, when one of the handheld host analysis processing modules does not receive the fingerprint information or the complete facial image information, The analysis processing module of the handheld host outputs a reminder signal to one of the handheld units of the reminder unit to cause the reminder unit to send a reminder message.