JP4191313B2 - Accident suppression device - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an accident prevention system and method for reducing the occurrence of an accident caused by a vehicle, a machine, or the like when a driver of a vehicle, an operator of a machine tool, or the like loses consciousness or cannot operate normally.
[0002]
[Prior art]
Automobiles are indispensable for modern corporate activities and social life, and are used in all aspects such as logistics, commuting and leisure. On the other hand, many car accidents occur every year, and effective accident prevention measures are desired.
[0003]
There are many examples of accidents involving passengers, other vehicles, and pedestrians (elementary school children, elderly people, etc.) from one vehicle. The incidence is high. Possible countermeasures include creating a new driver's Wakaba mark and a mark for the elderly, and conducting a campaign to return the license. According to the analysis results of traffic accidents in 1995 (1996 version) by the Institute for Traffic Accident Research and Data Analysis (ITARDA), car accidents are classified into the following three vehicle classes: The
(1) Sports & Specialty, RV (recreational vehicle): The average value of the danger perception speed of night accidents, youth accidents, and single vehicle accidents is high. Therefore, there is a tendency for the driver to quickly recognize when a dangerous state occurs.
(2) Family mini passenger cars, 1BOX: Compared to other classes, the ratio of night accidents and single vehicle accidents is low. Family mini passenger cars are more likely to cause female driver accidents than other categories. In 1BOX, accidents in the age group of 30 to 49 years are increasing. Compared to other classes, the average risk perception speed of a single vehicle accident is low. Therefore, the recognition by the driver when a dangerous state occurs tends to be delayed.
(3) Sedan, wagon: Shows the intermediate characteristics of the above two classes.
[0004]
In addition, the situation of the driver at the time of the accident includes drinking alcohol, aside (distraction of attention), falling asleep, operational mistakes such as wrong brake and accelerator, heart loss and loss of consciousness due to brain disease. In addition, examples of the surrounding environment at the time of the accident include a road environment that includes things that are not visible to the driver and that cannot be determined by the driver, and an environment that causes psychological stress on the driver.
[0005]
Among these, the driver's sidewalk and snoozing can be determined from the inclination of the face in the driver's image by a system described in Japanese Patent Application No. 10-960 (driver monitoring device). In this system, when the driver is in a dangerous state, a warning is issued to the driver.
[0006]
[Problems to be solved by the invention]
However, the conventional driver monitoring method has the following problems.
In the determination based on the inclination of the driver's face, it is possible to detect a situation such as a sidewalk or a snooze, but it is extremely difficult to detect other situations. For example, it is difficult to detect situations such as alcohol consumption, operation errors, heart failure, brain disease and the like.
[0007]
Even if a warning is issued to the driver, the possibility of an accident is not necessarily reduced as long as the driver is asleep, loses consciousness, or cannot operate normally due to illness or the like.
[0008]
An object of the present invention is to provide an accident prevention system and method for monitoring a monitoring target person such as a driver and the surrounding situation and performing an appropriate process for accident prevention according to the situation.
[0009]
[Means for Solving the Problems]
FIG. 1 is a principle diagram of an accident prevention system according to the present invention.
According to the first principle of the present invention, the accident suppression system comprises sensor means 1, detection means 2, and processing means 3. The sensor means 1 inputs the status information of the monitoring subject. The detection means 2 compares the status information of the monitoring subject recorded in advance with the input status information to detect an abnormality. And the processing means 3 performs the appropriate process for suppressing an accident, when abnormality is detected.
[0010]
When the sensor means 1 inputs the situation information of the person to be monitored, the detection means 2 searches the recorded situation information corresponding to the situation information, compares both, and is there any abnormality in the inputted situation information? Find out. And if abnormality is detected, the processing means 3 will perform an appropriate process according to status information, and will suppress an accident.
[0011]
The person to be monitored is a person who may cause an accident such as a driver of a vehicle or an operator of a machine tool, and the status information of the person to be monitored that is input includes information on health condition, body image information, It is information that represents the current status of the person being monitored, such as information related to the operation of the handle or the like. The normal value of the situation information is recorded in advance, and an abnormal situation can be detected by comparing the recorded situation information with the inputted situation information.
[0012]
When an abnormality is detected, the processing means 3 issues a warning to the monitoring target person, stops the vehicle or machine operated by the monitoring target person, notifies the surrounding person of the occurrence of danger, emergency, etc. Or make arrangements.
[0013]
Thereby, abnormality can be detected also about the health condition of a monitoring subject, a physical function, etc., and prevention or reduction of an accident can be aimed at according to various situations.
In addition, according to the second principle of the present invention, the accident suppression system includes sensor means 1, detection means 2, processing means 3, and determination means 4. The sensor means 1 inputs information on the person to be monitored or surrounding conditions. The detection means 2 detects an abnormality from the input status information. When an abnormality is detected, the determination unit 4 issues a warning to the monitoring target person, and determines whether the monitoring target person is in a dangerous situation based on a response to the warning. And the processing means 3 performs the appropriate process for suppressing an accident, when the monitoring subject is in a dangerous situation.
[0014]
When the sensor means 1 inputs the status information of the person to be monitored or the surrounding situation information, the detection means 2 checks whether there is any abnormality in the input situation information. If an abnormality is detected, the determination unit 4 issues a warning to the monitoring target person, and checks whether there is a response from the monitoring target person, and if there is a response, checks the reaction speed. When it is determined that the person to be monitored is in a dangerous situation, the processing unit 3 performs an appropriate process according to the situation information to suppress the accident.
[0015]
The ambient situation information that is input is information that represents the current situation around the monitoring subject, such as the temperature, humidity, and amount of carbon monoxide around the monitoring subject. If the status information of the monitoring target person or the surrounding situation information shows an abnormal value, the monitoring target person may be in a dangerous situation. Therefore, the determination unit 4 issues a warning using sound or vibration, and determines that the monitoring target person is in a dangerous situation when there is no response from the monitoring target person or when the response is delayed.
[0016]
Thus, by judging the risk based on the response of the monitoring subject, it is possible to detect whether the monitoring subject's consciousness and physical function are normal, and to prevent or reduce the accident.
[0017]
Further, according to the third principle of the present invention, the accident prevention system includes the sensor means 1, the processing means 3, and the determination means 4. The sensor means 1 inputs vehicle driver or surrounding situation information. The judging means 4 judges whether or not the driver is in a dangerous situation based on the inputted situation information. Then, the processing means 3 performs an appropriate process for stopping the vehicle when the driver is in a dangerous situation.
[0018]
When the sensor means 1 inputs the situation information of the driver of the vehicle or the surrounding situation information, the judgment means 4 performs processing such as abnormal value detection and danger judgment using the inputted situation information. If it is determined that the driver is in a dangerous situation, the processing means 3 performs appropriate processing such as automatic driving to the stop position and deceleration of the vehicle according to the situation information to stop the vehicle. By automatically stopping the vehicle, accidents can be prevented or reduced even if the driver cannot drive normally.
[0019]
For example, the sensor means 1 in FIG. 1 corresponds to a temperature sensor 12, a carbon monoxide sensor 13, and a sensor system 14 in FIG. 2 to be described later, and the detection means 2 and the judgment means 4 are the personal card 15 in FIG. Corresponding to the system 16, the processing means 3 corresponds to the awakening device 11, the processing system 17, the notification system 18 and the notification system 19 of FIG. 2.
The accident suppression apparatus of the present invention is an accident suppression apparatus for suppressing a vehicle accident, and includes a detection means 2, a processing means 3, and a determination means 4. The detection means 2 is the situation information of the monitoring subject who is the driver of the vehicle or the situation information around the monitoring subject. As an eye image of the face image of the person to be monitored Input from the sensor means 1 for acquiring Length of pupil extracted as feature value based on When, On portable recording media In advance Considering the driver's normal value Set tolerance The vertical length of the pupil extracted as a feature value from a normal eye image An abnormality is detected by comparing with. When the detection unit 2 detects an abnormality, the determination unit 4 issues a warning to the monitoring target person, and determines whether the monitoring target person is in a dangerous situation based on a response from the monitoring target person to the warning. to decide. The processing means 3 outputs a sound toward the outside of the vehicle when the judging means 4 judges that the person to be monitored is in a dangerous situation, or notifies the occurrence of danger using the direction indicator of the vehicle. To the first notification means and a predetermined destination Information and position data input from the sensor means; Of the second notification means to transfer Second notification means only Or Between the first notification means and the second notification means. Make both work.
[0020]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
In the present embodiment, when the driver loses consciousness or cannot drive normally, the vehicle predicts the danger and determines whether the driver can drive. Appropriate processing for avoiding danger is performed according to the situation inside and outside the vehicle to prevent the occurrence of an accident and reduce the scale of the accident that occurred.
[0021]
As a method for predicting danger, a method is used in which the driver and the situation inside and outside the vehicle are monitored by a sensor or the like, and the danger is judged when the observed value changes from a normal value to an abnormal value.
[0022]
For example, a measuring instrument such as a thermometer, a sphygmomanometer, or a pulse meter is provided in the vehicle, and an abnormal value is detected by comparing the measured value with a normal value in daily life and a normal value during driving. Thereby, the health condition of the driver can be monitored, and in particular, the danger can be effectively predicted for the old age. Moreover, about drunk driving and dozing driving, for example, danger can be predicted from driving driving conditions such as sudden handle control. Moreover, the following methods are used as a method for avoiding danger.
(1) A warning is issued to the driver to increase the driver's risk recognition speed.
(2) Perform automatic guidance and automatic control to stop operation, stop fuel supply, automatically decelerate, and prevent the accelerator from functioning (make acceleration impossible) according to the situation.
(3) Using a voice, direction indicator, etc., notify the surrounding vehicles of the driver's risk level.
(4) Notify the driver's situation to the expressway center, police, fire department, etc., and make emergency arrangements as necessary.
(5) The internal environment of the vehicle is automatically maintained. For example, when the room temperature reaches 50 ° C. or higher, the air conditioner is started to operate or a window is opened. Also, if the concentration of carbon monoxide exceeds a certain value, a warning is given to the driver, and notification is given to surrounding vehicles, expressway centers, police, fire departments, and the like.
[0023]
FIG. 2 is a block diagram of such an accident prevention system. The accident prevention system of FIG. 2 is configured using, for example, a computer, and includes an awakening device 11, a temperature sensor 12, a carbon monoxide sensor 13, a sensor system 14, a personal card 15, an observation system 16, a processing system 17, and a notification system 18. And a notification system 19.
[0024]
The temperature sensor 12 measures the temperature inside and outside the vehicle, and the carbon monoxide sensor 13 measures the amount of carbon monoxide inside the vehicle. The sensor system 14 inputs information related to the situation of the driver 20, and the principal card 15 stores characteristics related to the health and driving of the driver 20. The observation system 16 detects an abnormality based on information from the temperature sensor 12, the carbon monoxide sensor 13, the sensor system 14, and the principal card 15 and notifies the processing system 17 and the notification system 18.
[0025]
The processing system 17 instructs the wake-up device 11 to warn the driver 20, and the wake-up device 11 alerts the driver 20 using voice, vibration, or the like. Further, the processing system 17 instructs the notification system 18 to report an emergency, and the notification system 18 notifies the notification destination 21 such as an expressway center, police, or emergency center of the occurrence of danger. At this time, the notification system 18 instructs the notification system 19 to notify the surroundings, and the notification system 19 notifies the surrounding vehicles, pedestrians, and the like of the danger using voice, a direction indicator, or the like.
[0026]
The principal card 15 is a card-type recording medium such as a wireless card or a personal computer card (PC card), and has a configuration as shown in FIG. The personal information and the license information 31 include identification information (ID) of the driver 20, personal information such as blood type, height, and weight, and information described in the license.
[0027]
The daily life normal value 32 includes, for example, values of the blood pressure, body temperature, pulse, respiration, brain wave and the like of the driver 20 measured in daily life. These data are measured in advance at home, hospital, police, etc. and input. The normal value 33 at the time of driving the vehicle is, for example, an average value of normal values at the time of driving related to each item of the normal daily life value 32. The average value of normal values of other sensor information indicating the line of sight, steering wheel operation, and the like is also included in the normal value 33 when the vehicle is driven.
[0028]
The value 34 indicating abnormality is a value determined to indicate abnormality according to the provisions of the hospital or the like regarding each item described above. For example, the data described in a medical book or the like is included in the personal information and the license information 31. It is set in consideration of age, body type (height, weight), etc. Also, abnormal values of other sensor information indicating the line of sight, steering wheel operation, etc. are recorded in advance.
[0029]
The past problem history 35 is a recording log when there has been a problem in the past, and includes information such as symptoms and what kind of treatment has been performed. The current data record 36 includes current values obtained by the sensor system 14 for each item described above.
[0030]
The input / output interface 37 inputs and outputs data, and is used for user setting in a hospital, police, etc., data transmission to the observation system 16, and the like. The input / output interface 37 includes an external input / output terminal in the case of wired communication and a wireless device in the case of wireless communication.
[0031]
FIG. 4 shows an example of the arrangement of devices in a vehicle using the accident suppression system of FIG. In FIG. 4, the driver 20 sits on the seat 41 and operates the handle 42 to drive.
[0032]
The vehicle interior antenna 43, the line-of-sight sensor 44, the handle sensor 45, and the measuring device 46 are included in the sensor system 14 of FIG. 2 and operate in cooperation with the observation system 16. The line-of-sight sensor 44 is attached to a rearview mirror, for example, and inputs an image of the face of the driver 20. If an image of the eyes of the driver 20 is input, it is possible to detect whether or not the driver 20 is sleeping. The handle sensor 45 is attached to the handle 42 and detects a rotation direction, a rotation angle, and the like of the handle 42.
[0033]
The measuring device 46 is mounted on, for example, the arm or wrist of the driver 20 and includes sensors such as a sphygmomanometer and a thermometer. Then, the measurement data is transmitted wirelessly to the vehicle interior antenna 43, and the vehicle interior antenna 43 transmits the received data to the observation system 16 wirelessly or by wire. The principal card 15 is inserted into the observation system 16, and the situation of the driver 20 is monitored based on the information of the principal card 15.
[0034]
The speaker 47 and the vibration device 48 are included in the awakening device 11 of FIG. 2 and are attached to the inside of the seat 41, for example. The speaker 47 outputs a message for calling attention when there is a possibility that the driver 20 is asleep. The vibration device 48 vibrates the seat 41 and wakes up the sleeping driver 20.
[0035]
For example, the speaker 47 outputs a message such as “Are you waking up? If you are waking up, press the handle switch.” In this case, the handle 42 is provided with a handle switch 49 as shown in FIG. 5, and if the driver 20 presses it within a certain time after the message is output, it is considered that the message has been recognized. It is. Thereby, it is confirmed whether the driver | operator 20 has consciousness.
[0036]
FIG. 6 is a flowchart of processing by the accident suppression system of FIG. First, the temperature sensor 12, the carbon monoxide sensor 13, and the sensor system 14 input information about the driver 20 and the inside and outside of the vehicle, and the observation system 16 performs monitoring based on the input information (step S1). At this time, measurement values of the driver 20, such as body temperature, blood pressure, pulse, respiratory rate, etc., are input from the measuring device 46 of FIG.
[0037]
The principal card 15 holds data as shown in FIG. 7, for example. In the table of FIG. 7, the current value, past driving history, medical normal value tolerance range, and past abnormal value are recorded for each item of systolic blood pressure, diastolic blood pressure, pulse, body temperature, and respiratory rate. ing. Among these, the lowest value, the normal value, and the highest value are recorded for the past operating history and the normal range of medical normal values, and the lowest value and the highest value are recorded for the past abnormal values.
[0038]
Also, the temperature sensor 12 inputs the temperature inside and outside the vehicle, and the carbon monoxide sensor 13 inputs the amount of carbon monoxide in the vehicle. The allowable ranges for the temperature and the amount of carbon monoxide are stored in the observation system 16 in advance.
[0039]
The observation system 16 compares the sensor information with its allowable range, and determines whether or not an abnormal value is detected (step S2). In particular, when the difference between the current value and the normal value during past driving is greater than a predetermined value, it is determined as abnormal. When the past driving history data is not written, the normal range of medical normal values or the daily life normal value 32 of FIG. 3 is used instead.
[0040]
If no abnormal value is detected, the process of step S1 is repeated. If an abnormal value is detected, the wake-up device 11 issues a warning to the driver 20 (step S3). Here, for example, the speaker 47 makes a sound that surprises the driver 20, or the vibration device 48 vibrates the seat.
[0041]
Then, the observation system 16 determines the driver's consciousness disorder based on the response speed of the driver 20 to the warning, and determines the necessity of stopping the vehicle (step S4). Here, if a voice message is output to the driver 20 and the reaction speed is slow or there is no response, it is determined that the vehicle needs to be stopped.
[0042]
For example, a message such as “Do you want to stop the vehicle?” Is output to inquire the driver 20 of the necessity of stopping the vehicle. In this case, reply words such as “Yes” and “No” are determined in advance, and a reply voice is input using a microphone. Then, if the driver 20 makes a positive response, makes a reply other than a predetermined phrase, or does not make a reply within the designated time, it is determined that the vehicle needs to be stopped. If a negative response is made, it is determined that there is no need to stop the vehicle.
[0043]
Alternatively, if the driver 20 presses the handle switch 49 in FIG. 5 and outputs a message such as “Would you wake up? It is determined that there is no need to stop the vehicle. If the handle switch 49 is not pressed within the designated time, it is determined that there is no normal response and the vehicle needs to be stopped.
[0044]
If it is not necessary to stop the vehicle, the driver 20 is inquired whether or not emergency arrangements are necessary (step S5). If there is a response that arrangement is not necessary, the awakening device 11 issues a warning to the driver 20 (step S6). Here, for example, a message such as cautions and recommendations for driving is output, and the current value of the sensor information is recorded on the principal card 15 as an abnormal value. And the process after step S1 is repeated.
[0045]
If it is necessary to stop the vehicle in step S4, a vehicle stop process is automatically performed (step S7). Here, the deceleration process is started based on the judgment of the observation system 16. First, it is determined whether or not the vehicle can be stopped.
[0046]
For example, on an expressway, a radio wave for evacuation guidance is always output from an emergency telephone, and guidance is performed to a deceleration stop position by automatic driving according to the radio wave. At this time, the notification system 19 notifies the surrounding vehicle of urgency with a direction indicator and voice. Also, on a general road, the urgency is notified to surrounding vehicles by a direction indicator and voice. As the stop position, a roadside band or the like is selected and guided by radio waves from the road so as not to stop under a signal or the like.
[0047]
Next, the driver 20 is inquired whether or not emergency arrangements are necessary (step S8). If there is a response that arrangement is not necessary, the current value of the sensor information is recorded as an abnormal value on the principal card 15, and the vehicle stop process is also recorded (step S9), and the process is terminated.
[0048]
In step S8, if there is a response that arrangement is necessary or if there is no response within the designated time, the notification system 18 automatically transfers the prescribed data to the notification destination 21 and requests emergency arrangement (step S10). ). The transferred data is recorded on the principal card 15.
[0049]
On the highway, an emergency call, an emergency request system, etc. are included in the report destination 21, and position data from GPS (global positioning system), patient data including sensor information about the driver 20, other situation data, etc. are transferred. . The notification system 18 can also use a radio smoke tube or a notification device in a conventional mobile system.
[0050]
And the observation system 16 performs the process of step S9, and complete | finishes a process. Also, in step S5, if there is a response indicating that arrangement is necessary or if there is no response within the designated time, the processing after step S10 is performed.
[0051]
By the way, when the consciousness disorder determination is performed using the line-of-sight sensor 44 illustrated in FIG. 4, the accident prevention system performs processing as illustrated in FIG. 8. First, the observation system 16 sets the line-of-sight sensor 44 in accordance with an instruction from the driver 20 (step S11).
[0052]
For example, when the driver 20 is worried about whether he / she will fall asleep during driving, the driver 20 instructs the gaze sensor 44 to start and sets “warning when an abnormal value is detected” or “warning periodically”. In the case of “Warning regularly”, it is possible to specify the period for issuing warnings (such as once every 5 minutes). If the driver 20 does not wake up even if the warning is issued, the warning should be continued You can also.
[0053]
The processing in the next steps S12 to S21 is basically the same as the processing in steps S1 to S10 in FIG. In step S <b> 12, image data from the line-of-sight sensor 44 is input to the observation system 16 in addition to the measuring device 46. The observation system 16 detects an abnormal value by comparing the image of the eyes of the driver 20 with a previously recorded image.
[0054]
FIG. 9 shows the difference between a normal eye image and a sleepy eye image. For example, the feature amount extracted from the normal eye image data is recorded in advance on the principal card 15, and the feature amount is extracted from the eye image data input by the line-of-sight sensor 44 and compared with the normal feature amount. . Then, based on an appropriate similarity calculation, it is determined whether or not the input image data of the eye shows an abnormal value.
[0055]
When the size of the pupil is used as the feature amount, the degree of eyelid opening can be monitored by recognizing the vertical length of the pupil. When the difference between the current pupil length and the normal pupil length is equal to or greater than a predetermined value, it is determined as an abnormal value. This state is considered to correspond to the situation where the eyelid is closed because the driver 20 becomes sleepy.
[0056]
In step S13, according to the setting, when an abnormal value is detected or when a designated cycle has elapsed, it is determined that a warning needs to be issued, and the processing in the next step S14 and subsequent steps is performed. Depending on the setting, the warning in step S14 is continued.
[0057]
In step S15, in addition to the response speed to the voice message, image data from the line-of-sight sensor 44 is also taken into consideration to determine whether the vehicle needs to be stopped. For example, if the feature amount extracted from the eye image data returns to a normal value, it is considered that the driver 20 is waking up and it is determined that the vehicle does not need to be stopped.
[0058]
The same process is performed when the situation of the driver 20 is monitored using the handle sensor 45 of FIG. In this case, sensor information at the time of normal driving is recorded in the principal card 15 in advance, and the observation system 16 compares the current sensor information with the recorded sensor information to detect an abnormal value.
[0059]
In the above embodiment, the system for mainly monitoring the driver of the vehicle and the surrounding situation has been described. However, accidents can be prevented by the same system for operators who operate other devices such as machine tools. it can. In this case, the accident suppression system performs a process of stopping the operation of the device instead of the vehicle stop process.
[0060]
By the way, the accident prevention system of FIG. 2 can be configured using an information processing apparatus (computer) as shown in FIG. 10 includes a CPU (central processing unit) 51, a memory 52, an input device 53, an output device 54, an external storage device 55, a medium driving device 56, and a network connection device 57, which are connected via a bus 58. Are connected to each other.
[0061]
The memory 52 includes, for example, a read only memory (ROM), a random access memory (RAM), and the like, and stores programs and data used for processing. The CPU 51 performs necessary processing by executing a program using the memory 52.
[0062]
The input device 53 is, for example, a keyboard, a pointing device, a touch panel, and the like, and is used for inputting instructions and information from the user. The output device 54 is, for example, a display, a printer, a speaker, and the like, and is used for outputting a message to the user and a processing result.
[0063]
The external storage device 55 is, for example, a magnetic disk device, an optical disk device, a magneto-optical disk device, or the like. The information processing apparatus can store the above-described program and data in the external storage device 55 and load them into the memory 52 and use them as necessary.
[0064]
The medium driving device 56 drives a portable recording medium 59 and accesses the recorded contents. As the portable recording medium 59, any computer-readable recording medium such as a memory card, a floppy disk, a CD-ROM (compact disk read only memory), an optical disk, a magneto-optical disk, or the like is used. The user can store the above-described program and data in the portable recording medium 59 and load them into the memory 52 for use as necessary. The medium driving device 56 can also drive the principal card 15 as a portable recording medium 59.
[0065]
The network connection device 57 communicates with an external device via an arbitrary network (line), and performs data conversion accompanying the communication. The information processing apparatus can receive the above-described program and data from an external device via the network connection device 57 and load them into the memory 52 for use as necessary.
[0066]
FIG. 11 shows a computer-readable recording medium that can supply a program and data to the information processing apparatus of FIG. Programs and data stored in the portable recording medium 59 and the external database 60 are loaded into the memory 52. Then, the CPU 51 executes the program using the data and performs necessary processing.
[0067]
【The invention's effect】
According to the present invention, the driver of the vehicle, the operator of the machine tool, and the surrounding situation are monitored, and processing such as stopping the vehicle or the machine or notifying the surrounding vehicle or person of the danger according to the situation. It becomes possible to do. Therefore, it is possible to predict the dangerous situation of the driver or operator and prevent or reduce the accident.
[Brief description of the drawings]
FIG. 1 is a principle diagram of an accident prevention system according to the present invention.
FIG. 2 is a configuration diagram of an accident prevention system.
FIG. 3 is a configuration diagram of a principal card.
FIG. 4 is a diagram illustrating an arrangement of apparatuses.
FIG. 5 is a diagram showing a handle.
FIG. 6 is a flowchart of first processing.
FIG. 7 is a diagram showing data of a principal card.
FIG. 8 is a flowchart of second processing.
FIG. 9 is a diagram illustrating an image of a line-of-sight sensor.
FIG. 10 is a configuration diagram of an information processing apparatus.
FIG. 11 is a diagram illustrating a recording medium.
[Explanation of symbols]
1 Sensor means
2 detection means
3 processing means
4 Judgment means
11 Awakening device
12 Temperature sensor
13 Carbon monoxide sensor
14 Sensor system
15 person card
16 Observation system
17 Processing system
18 Reporting system
19 Notification system
20 Driver
21 Report destination
31 Personal information and license information
32 Normal daily life
33 Normal value during operation
34 Value indicating abnormality
35 Past problem history
36 Current data recording
37 I / O interface
41 seats
42 Handle
43 Car interior antenna
44 Eye sensor
45 Handle sensor
46 Measuring instrument
47 Speaker
48 Vibration device
49 Handle switch
51 CPU
52 memory
53 Input device
54 Output device
55 External storage
56 Medium Drive Device
57 Network connection device
58 Bus
59 Portable recording media
60 database

Claims (1)

In an accident suppression device for suppressing vehicle accidents,
The length of the pupil in the vertical direction extracted as a feature amount based on information input from sensor means for acquiring an eye image of the monitoring subject's face image as situation information of the monitoring subject who is the driver of the vehicle in the to, by comparing the length in the vertical direction of the pupil extracted as features from the normal eye image as an allowable range of the normal value is set in consideration of advance the driver in the portable storage medium Detecting means for detecting an abnormality;
When an abnormality is detected by the detection means, a warning is issued to the monitoring subject, and it is determined whether or not the monitoring subject is in a dangerous situation based on a response from the monitoring subject to the warning A judgment means to
When the determination means determines that the person to be monitored is in a dangerous situation, a sound is output to the outside of the vehicle, or the occurrence of the danger is notified using the direction indicator of the vehicle. Of the second notification means for transferring the information and position data input from the sensor means to a predetermined destination, only the second notification means or the first notification means and the second notification accident suppression apparatus, comprising a processing means for operating both the means.

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