JP2024035085A - Method and system for automatically transmitting data to help speed response after emergency situations such as vehicle accidents - Google Patents

Abstract

An apparatus, system, and method for reducing response time after an emergency situation such as a vehicle accident is provided. The solution is to automatically send a computerized emergency call from a vehicle and/or phone to provide information such as GPS location data and speed, as well as data including the caller's number and medical history, before a collision. and/or continuously link all post-collision data to the cloud. Utilize multiple data sources to provide redundancy for validating data and avoid unnecessary emergency calls. By speeding up transportation to the hospital, it is possible to ensure that the optimal medical care tailored to the victim is provided during the golden hour that makes the difference between life and death after an accident. The solution can be used both domestically and internationally by leveraging big data on a global network that tracks billions of phones and/or vehicles. [Selection diagram] Figure 5

Description

The present invention automatically transmits a 119 call using a computer from a vehicle and/or a mobile phone (including a smartphone) or a satellite phone (hereinafter sometimes simply referred to as a "telephone"), and provides information such as GPS position and speed. A device that shortens response times after emergencies such as vehicle accidents by providing data that includes information such as information and medical history if the person concerned has given prior approval, and continuously linking that data to the cloud. , systems and methods.
Cameras, sensors, and computers installed in vehicles and/or sensors, computers, and the like installed in phones automatically notify the time of occurrence of a collision using data such as speed and deceleration. And when possible, utilize multiple data sources to provide redundancy to verify data and avoid unnecessary 911 calls. This speeds up transportation to the hospital and ensures the provision of optimal medical care tailored to the victim during the golden hour after an accident, the difference between life and death. The solution can be used both domestically and internationally by leveraging a global big data network that tracks billions of phones and/or vehicles.

The present devices, systems, and methods speed the response of Emergency Medical Technicians (EMTs), police, and others after an emergency situation such as a motor vehicle accident, anywhere, such as in the home or during a vehicle collision. , to ensure the delivery of ideal medical care after an accident. With 36,560 people killed in traffic accidents in the United States in 2018, reducing emergency team response times increases the chance of survival for accident victims, saving hundreds or even thousands of lives each year. there is a possibility. However, in 2018, more than 10% of fatal collisions were reported more than 10 minutes after the accident occurred. These numbers show that there is a technical and economic incentive to allow drivers to automatically share crash data in the seconds before an accident occurs. In other words, data such as GPS data and medical history is constantly connected and stored in the cloud, and when an emergency situation such as a collision is detected, a report is automatically sent to the 119 network in an instant of 1/1000th of a second, and a text message is sent to the 911 network. It can connect to a generated voice or display all relevant information on a 911 call center screen. Transmission of GPS data is accomplished by continuously connecting the vehicle and/or phone to the extended 119 cloud network. Standard GPS technology sends data containing approximately 100 characters of latitude, longitude, and altitude information approximately once per second; $GPRMC,235316.000,A,4003.9040,N,10512.5792,W,0.09,144.75,141112,,*19) can be used to pinpoint the position and speed of the tracking device, as well as the vehicle type and collision time. Confirmation can be performed. (In addition, the telephone number to call in an emergency is 119 in Japan, but 911 in the United States.Hereinafter, calls to 119 and 911 are collectively referred to as "emergency call")
All the invention requires is a communication device, such as a smartphone or ideally a satellite phone, to collect and transmit GPS data. No matter what type of vehicle the subject travels around the world (i.e., passenger car, airplane, train, etc. (hereinafter collectively referred to as "vehicle")), the device uses GPS data to detect collisions. Other systems, such as GM's OnStar, use sensors such as accelerometers to accurately determine when a crash has occurred, deploy airbags, or send an emergency call. This system is for reporting, etc., and is expensive and requires sensors to be mounted on the vehicle.On the other hand, this system requires only GPS data to identify the vehicle type and the time of occurrence of an emergency situation.
Mark Haley, the inventor of this application, developed the technology contained in this patent in 2009 while he was a professor in Japan, and has spent over 13 years since then enhancing the GPS tracking technology with communications aspects to enable remote locations. Trained and tracked skydivers around the world, including elite smokejumpers who skydive into fires. Patent Document 1 by the present inventor and its corresponding Japanese patent, Patent Document 2 (Title of invention: "Skydiving Tracker: Integrated System for Flight Data Collection and Virtual Reality Simulator to Improve Skydiving Safety") ) Please refer to
The present invention is extremely cost-effective as it can track and protect a target person around the world using any device with GPS and communication capabilities, i.e. a smartphone, and in the event of an emergency, a rescue message can be sent via text or phone call. expensive. As a result, it is applicable to billions of phones (i.e., smartphones, satellite phones, etc.) around the world and to any person in the world traveling in any vehicle, including cars, trains, planes, ships, etc. can provide safety.

A single GPS data point provides a location such as "Dallas, Texas." Two GPS data points give a speed of 88 feet per second (approximately 26.82 meters per second), 60 miles per hour (approximately 48.28 kilometers per hour), etc. as distance traveled/time. Detailed acceleration and deceleration information can be obtained from three GPS data points. In the case of a head-on crash into a cement wall, the movement from the second data point to the third data point may be negligible. In addition, the collision is verified by comparing the historical data of the vehicle of that type. By making data redundant for mobile phone trackers, vehicle trackers, etc., it is possible to reduce erroneous transmission of emergency phone calls. As shown in FIGS. 7 to 11, the type of vehicle is identified by speed and altitude data. After a collision, a text message containing all relevant location information, crash data, and medical records is sent to an emergency number. Optionally, text-to-speech (eg, IBM's Watson, etc.) can also be performed in any language. However, text messages alone did not provide an ideal overview of the conflict.

Note that the vehicle type is automatically identified by the vehicle itself. However, in the case of a smartphone, if the person carrying the smartphone is riding in a car, train, airplane, or even skydiving after jumping from an airplane, confirming the type of vehicle requires using GPS data as historical data. It is only possible to compare and judge. The inventors have used this technology to track and investigate hundreds of trains, airplanes, cars, and skydivers. As a result, it was found that although the larger the GPS database, the higher the accuracy obtained, it was possible to identify the type of vehicle even with a small GPS database. The present methods and systems use one or more sensors including GPS data in the vehicle and/or phone to automatically make emergency calls when needed (FIGS. 1-6). By making the sensors redundant, it is possible to reduce the risk of erroneously calling an emergency call. However, the present method and system can obtain sufficient information to make an emergency call using only the GPS data of a portable smartphone (FIG. 6).

In 2018, only 10% of drivers in the U.S. agreed to share their telematics vehicle data, which includes critical information about the vehicle's speed, location, acceleration, and more. But as data sharing provides better discounts on auto insurance, better privacy protections, and improved technology, more drivers will share this data, reducing emergency response times. It is believed that this increases the possibility that accident victims will survive. The European Union (EU) has required all car manufacturers in the region to be equipped with automatic emergency call technology ``eCall'' since April 2018, putting the EU far ahead of the US in this regard. are doing.

Big data is a technology that can analyze huge amounts of data at high speed and solve problems that were previously unsolvable. Big data includes vehicle and/or phone data, data in the cloud, and if the passenger voluntarily discloses sensitive information, linked to the cloud, as well as vehicle speed and location information. It utilizes data from in-vehicle cameras and in-vehicle sensors that monitor and identify drivers using in-vehicle cameras and facial recognition software (Figures 1 to 3). Each vehicle generates terabytes of data per day, and millions of vehicles are tracked. Even in situations where manual emergency calls cannot be made, such as in remote areas or at night, important collision data is automatically sent to emergency numbers. This robot report identifies the location and severity of the accident, as well as the driver's medical history, and helps rescue victims during the golden hour after a collision. The golden hour refers to the time after a collision when the chance of survival for accident victims is greatest if rescue operations are carried out at that time. Furthermore, even if data cannot be obtained due to a malfunction of an on-vehicle sensor or communication disruption, continuous monitoring of the vehicle can indicate the possibility of trouble or an accident (Figure 4). This system can be used both domestically and internationally (Figure 5).

Furthermore, the present invention is a promising technology that has the potential to shorten the response time of first responders after a traffic accident occurs, contributing to saving lives and reducing the number of injuries. On the busy roads of American cities, many people call 911 immediately after an accident occurs. There are even cars that automatically send out distress calls. However, late at night or in remote areas, accidents may not be reported for several hours. However, by expanding the combination of big data and the cloud, it will be possible to automatically report accidents not only within 10 minutes after an accident, but within seconds before a collision occurs.

Today's state-of-the-art automotive sensors collect terabytes of data every day, some of which is used to help cars drive autonomously and brake in situations that could lead to an accident. The devices, systems, and methods of the present invention aim to send critical portions of this data to the cloud and ensure that first responders are notified quickly after an incident.

'Golden Hour' - Prompt treatment within an hour is critical to saving a life According to the American College of Surgeons, the 'Golden Hour' is the time when a car crash, gunshot wound, etc. The concept emphasizes the critical importance of successfully treating severely injured patients during the first 60 minutes after injury. The initial treatment for such severely traumatized patients is called Advanced Trauma Life Support (ATLS). Trauma advanced life support was developed in 1976 based on experience treating seriously injured people during the Vietnam War and in dangerous cities in the United States.

US Patent No. 10782524 Patent No. 7184566 specification

Speeding up emergency medical care with big data and emergency phone calls (overview) Examples of sensors/cameras installed in 2021 autonomous vehicles With eCall as the first step, the second step is big data and cloud tracking. Big data and the cloud monitor drivers even in areas where mobile communication networks are lacking Optimize emergency response by sending GPS and other data from millions of vehicles and phones to the cloud Emergency network tracking using only GPS data and/or data such as GPS Flowchart showing how flight data matching automatically identifies the type of activity (airplane, skydiving) for interactive 3D plots and the best angle for debriefing. Flowchart that reveals the logic of dynamically plotting to show customized 3D plots/report listening for any type of movement with interactive 3D graphics Flowchart showing the logic for creating a customized 3D plot/report hearing Flowchart showing the logic for creating a customized 3D plot/report hearing Flowchart showing the logic for creating a customized 3D plot/report hearing Diagram showing how tracking planes, skydiving, and cars is possible anytime, anywhere

The device, system, and method of the present invention utilize big data and the cloud to provide an integrated response method for vehicle accidents and regular emergency phone calls. It provides an integrated response method that allows police officers and others to understand a victim's medical background and provide prompt and appropriate treatment during transportation to a hospital. The present invention aims to speed up the transfer of victims to hospitals, provide ideal medical care within the golden hour after an accident, and obtain the best medical results. In the case of a vehicle accident, when vehicle data indicates an imminent risk of collision, a device (ideally a government-mandated device similar to smoke detectors) automatically sends a distress call to an emergency number. Send to. This notification is made just before the moment of collision, in case the vehicle is severely damaged and all communications and on-board computers become inoperable. The information reported includes the driver's identity information. Identity information is captured by driver monitoring cameras equipped with facial and voice recognition software that are installed as part of autonomous driving systems in modern vehicles. Alternatively, passengers have the option of voluntarily providing their medical records to the vehicle's computer or phone. In cases where the system cannot identify the passenger or there are privacy concerns, this option provides medical history that the passenger wishes to disclose in the event of an accident.

In block 1 of FIG. 1, the vehicle's sensors, computer, and software utilize GPS data and medical records to automatically make an emergency call to summon responders, such as emergency personnel. Additionally, in the case of an emergency call from a phone, the phone automatically sends GPS data and/or uses voice recognition to identify medical records and sends the GPS location information and medical records to emergency personnel. (Block 2).

Whether it's a car accident or a 911 call from home, calls made using voice/facial recognition software or voluntarily uploaded data are matched against cloud data to determine the victim's location, identity, and medical status. It becomes possible to understand the background. Therefore, during transportation to the hospital, responders such as emergency personnel can provide appropriate treatment tailored to the patient. Block 3 involves obtaining the victim's medical records from big data in the cloud using facial/voice recognition software or caller ID information or voluntary disclosure from an application on the phone that works with the vehicle's computer. , artificial intelligence (AI) constantly verifies medical issues and treatments tailored to the victim. Since the medical history related to the patient is identified by this system, the emergency personnel will provide initial treatment tailored to the patient during transportation to the hospital shown in block 4, and the hospital will take over the initial treatment. It becomes possible to do so.

Figure 2 shows how an autonomous vehicle uses numerous cameras, radars, and LiDAR to map the world around the vehicle and thereby plan an optimal and safe journey. In 2021, Tesla, the industry's largest company, will use eight cameras to achieve a 360-degree field of view with a range of up to 250 meters in front and 50 meters behind, enhance mapping around the vehicle with ultrasonic sensors, and use radar This makes it possible to recognize the road ahead even in rain, fog, or dusty conditions.

However, there are pros and cons to using in-car cameras to monitor the driver's condition. The in-car camera records the driver's actions, including before the collision, and uploads them to the cloud. This feature is optional and can be declined by the user, but it does create privacy concerns. To address these privacy concerns, and because of the limitations of facial and voice recognition software, when passengers enter a vehicle, they can automatically or manually use a phone application to screen passengers for information such as medical information. It is conceivable to voluntarily disclose information to the vehicle's computer.

Automatic emergency notification is already mandatory in the EU, and is essential in the US Telematics, shown in Figure 3, is an in-vehicle tracking device that transmits important information such as location, speed, sudden braking, and sudden acceleration. Some insurance companies offer discounts for sharing this data, which is why nearly 10% of drivers in the U.S. use the technology. However, since April 2018, the European Union (EU) has required all car manufacturers in the region to be equipped with automatic emergency call technology ``eCall'', so as of 2021, the EU will They had a big lead. In the event of a collision, eCall automatically transmits location information and also reports whether the airbag has been deployed. In contrast, this technology, which combines big data with facial and voice recognition software, uses sensor information such as GPS data to identify all relevant information needed to treat the victim, including the driver's identity and medical history. do.

Track Me - Options for locations outside of cell phone coverage The Frank Church-River of No Return Wilderness in Idaho, shown in Figure 4, is With an area of 2.37 million acres (approximately 96,000 km ² ), it is one of the most remote areas in the lower 48 states. There is almost no cell phone service in the nature reserve. For example, Dixie, Idaho (population 3,237 as of 2019) is located near the same nature preserve, but mobile communication coverage is limited to some areas (as of 2019). ). Additionally, in Alaska, there is a wide area outside the mobile communications service area. The drive from Woodson, Texas, in Big Bend National Park to the Mariscal Mine, also in Big Bend National Park, illustrates the challenges and solutions. During the 11-mile (approximately 17.7 km) journey, which takes approximately 55 minutes, the mobile communications service area is not continuous, and communications are interrupted many times. Therefore, in Big Bend National Park, nature preserves, and many national parks, the telematics option activates the optional "Track Me" function to monitor the status of vehicles that are out of range of mobile radio waves. It is necessary to enable this system to monitor. In that case, after a preset amount of time has elapsed, the system will automatically call the driver to confirm that he or she is safe. An emergency call can also be made after a specified period of time has elapsed. This option is also effective when a failure occurs in the in-vehicle equipment or a failure occurs in part of the mobile communication network.

Referring now to FIG. 5, at arrow 501, the system sends information about millions of vehicles to the cloud to optimize emergency response. Vehicle and/or phone applications automatically transmit GPS location, speed, acceleration, and passenger photo, voice, and/or identity information, in addition to information provided voluntarily by the passenger. In some cases, medical identifying information is also automatically transmitted. By also transmitting GPS data from the phone, it is possible to make the GPS data redundant, confirm collisions with the cloud side, and minimize the number of inaccurate emergency calls. The cloud checks a vast database of crash data and historical vehicle crash data to identify the occupants and optimize the response to rescue victims during prime-time hours.

GPS data can be transmitted in small packets of about 80 characters per second using a smartphone or on-board computer. Although the system can be supplemented with additional data, GPS data is sufficient to confirm the severity of the collision, including the location and speed of the collision. Assuming people enter and exit the vehicle, changes to the medical record occur only every 10 minutes at most, resulting in an average size of key medical data of less than 40 characters per second. Therefore, only 120 bytes/second of data is required. However, the number of bytes and time interval required can be adjusted depending on network storage and bandwidth issues to speed up response times for emergency personnel. In the future, given the huge amount of information available, data other than GPS and medical information may lead to improvements in emergency response times; in that case, it will also be possible to transmit such data. Probably.

According to the US Department of Transportation, there are 276 million vehicles in the US as of 2021, including 156 million trucks, 108 million cars, 8.5 million motorcycles, and 57.5 buses. The number of units sold is 10,000,000,000, etc. Furthermore, according to statistical data, the number of smartphone users in the United States as of 2020 is estimated to be 280 million. By having redundant data sources, inaccurate emergency calls can be reduced. For example, if a person riding a motorcycle carrying a mobile phone drops his or her mobile phone, this may indicate that a collision has occurred, but if the motorcycle is equipped with a tracking device, the motorcycle in question may be involved in an accident. It is possible to confirm that no emergency has occurred, and avoid unnecessary emergency calls.

The bandwidth required to transmit GPS and medical data at 120 bytes/second is small for any device on a network, such as a 5G network. With millions of cars and phones, each data packet may be small, but the cloud can generate hundreds of gigabytes of data per second and terabytes of data per hour. Because the only data that is important is data from actual crashes and emergencies, data in the cloud can be periodically disposed of due to privacy concerns or to reduce storage requirements. At arrow 502 in FIG. 5, data is sent to a queue that uses AI (artificial intelligence and/or statistics) to verify the occurrence of a collision. Finally, at arrow 503 in Figure 5, the cloud reconfirms the GPS location and severity of the crash, and information such as the victim's medical records, which is optimized to perform the victim rescue within the golden hour. We will then dispatch the ideal responder.

FIG. 6 shows how the system functions using only GPS data from the vehicle and/or mobile phone (601 in FIG. 6). As of 2022, most vehicles will not have advanced electronics that automatically transmit GPS data. Although a person can manually call 911, the system allows a mobile phone application to automatically make the emergency call and provide GPS location data, including crash speed and crash severity. Therefore, this system is the optimal solution. According to this system, even if the passenger is unable to make a report, it is possible to automatically make an emergency phone call. Since GPS data and collision data differ depending on the type of vehicle, by simply acquiring GPS data, this system compares the history database of similar vehicles with the GPS profile and determines whether the vehicle is a passenger car, train, or airplane. (602 in FIG. 6). Next, using parameters such as the speed of the vehicle, it is determined whether a collision has occurred (603 in FIG. 6). The system then utilizes AI and/or statistical data to minimize unnecessary 911 calls. In other words, the highest priority is given to a response to a report that has redundancy using a plurality of sensors (604 in FIG. 6). On the other hand, to avoid overloading the emergency call system, the network can set a lower priority for emergency calls that consist only of calls generated by mobile phones (605 in Figure 6). ).

Note that although Figure 6 shows an example of continuous GPS tracking, due to privacy concerns, the user may choose to automatically track when a person gets into a vehicle or when a child leaves the house. You can also. Ultimately, AI could decide whether to call 911 based on big data collected over time, and if there are too many inaccurate 119 calls, AI could It is also possible to adjust the system to limit tracking to vehicles. By collecting and analyzing crash data from millions of smartphones and vehicles over longer periods of time, big data can eliminate more inaccurate emergency calls.

Figures 7-11 illustrate how tracker data can be used to identify the type of movement (plane, skydiving, etc.), correct for errors in GPS data, and determine the optimal angle to display plots on 3D interactive maps or videos. and shows how to calculate the viewpoint. 3D interactive maps or videos can be used for debriefing during accident investigations. FIG. 7 summarizes how the acquired data is matched against databases of different movement types (from people to trains, circular parachutes, ram air parachutes, helicopters, propeller planes, jet aircraft, and spacecraft). A 3D interactive map is then automatically created with the optimal angle for hearing reports and investigating accidents.

FIG. 12 schematically illustrates the performance of the present invention. Using the present invention, we tracked a person's skydiving hundreds of times, from his home to his landing spot. I drove from my home (1201 in Figure 12) to the airport, boarded a plane (1202 to 1203 in Figure 12), and went skydiving using a circular parachute or a ram air parachute (1204 to 1205 in Figure 12). The present invention has detected an emergency situation that could have caused a person to fall into it. Although this tracking for report listening is shown in monochrome 2D in FIG. 12 due to the limitations of the drawings attached to the patent application documents, it is actually displayed as a color 3D map. By using only GPS data that has been checked against historical data for each type of vehicle and corrected for errors, it can indicate if a collision or emergency situation occurs while riding in a car or airplane, or while skydiving. Ideal for people who fly small airplanes, drive old cars, skydive, engage in extreme sports, etc. in remote areas where the industry-standard collision detection function Advanced Automatic Collision Notification (AACN) is not available. It's technology.

The present invention requires only a device such as a GPS-enabled cell phone (eg, a satellite phone, etc.) for tracking. Technologies such as satellite communications Starlink have made it possible to track anyone, anywhere, at any time, as standard cell phone communications are now possible literally everywhere. As explained below, the invention can save hundreds of lives, approximately one life for every million phones tracked, but this requires tracking all phones at all times. There is a need to. In addition, there are major limitations to GPS, such as signal loss in places where GPS satellites cannot be seen, such as inside tunnels, valleys, and buildings, so it is necessary to perform error correction on GPS to reflect abnormalities such as lost signals. be. Additionally, phones can turn off or break down, and the more sensors a phone uses, the faster it will drain power. If these abnormalities are not checked against historical data on the cloud, there is a risk that unnecessary emergency calls will occur frequently. However, caution should be taken when using cell phones in remote areas or late at night, when there may be no witnesses to report the accident. Although there is a risk that an emergency call in such a case may be an unnecessary emergency call, it is considered that conducting safety confirmation is worth the risk, so it is necessary to allow more leeway.

AACN saves hundreds of lives every year by (1) using sensors such as acceleration sensors and airbag deployment sensors to detect collisions, and (2) using GPS only for location information to prevent collisions from occurring. Not used to specify location. Although powerful, AACN is expensive and requires multiple sensors, which consumes power. Furthermore, GPS without error correction cannot obtain sufficiently accurate data. On the other hand, the big data 119 is unique in that it can determine a collision only based on error-corrected GPS acceleration/deceleration. According to estimates by the U.S. Department of Transportation (AACN Research Report (No. DOT HS 812 729), May 2019), AACN has saved 360 lives, and the benefits from AACN exceed its costs by 21.8%. It is said to have exceeded $1 billion. On the other hand, the present invention, which uses only GPS data, can save lives in cases where the car is not equipped with AACN or in situations such as skydiving. Assuming that up to 33% of vehicles were not equipped with AACN or that the present invention provided crash prediction redundancy, the present invention could save 120 lives annually, with a net benefit of 700 million yen. I would say it's worth 20 million dollars.

Other Issues It is believed that the present invention can track billions of phones and vehicles around the world. As described above, in order to make the system easier to manage, this system uses only GPS data to confirm the type of vehicle (plane, passenger car, etc.) and the presence or absence of a collision. The system is also strengthened through redundancy, as vehicle data can be supplemented and reconfirmed with data from the phone. In 2014, hundreds of millions of yen were spent trying to find Malaysia Airlines Flight 370, which crashed due to a loss of communications. If the passengers' satellite phones had been turned on at the time, they would have been able to continuously track the plane's location.

This system always discards data when a vehicle has safely completed its journey, such as when an airplane lands. Even so, the amount of data is likely to be enormous. Data centers around the world can also collaborate and share data such as GPS data. For example, the EU is in charge of transportation in Europe, and the United States is in charge of transportation in North America. The final key point is privacy. Disclosure of GPS data will be at the user's choice. Companies such as Google collect large amounts of data for advertising purposes, and some have pointed out that TikTok is being used by the Chinese government to collect data. Meanwhile, the data collected for the present invention will be used to identify accidents and save lives. Also, auto insurance companies can offer incentives for people without GPS vehicle tracking devices to simply leave their cell phones turned on while driving. This is done for your own safety, not to sell to advertising.

Claims (8)

continuously transmitting data, such as GPS data, from sensors and cameras of the vehicle and/or from sensors of a smartphone or satellite phone to a cloud;
automatically detecting vehicle collisions and/or other emergencies from data such as said GPS data;
automatically calling an emergency number immediately and providing all crash information, including the GPS location and severity of the crash, against historical crash data;
medical records of the victim and caller collected by identifying the victim with cameras and sensors in the vehicle and/or with medical information voluntarily linked to the cloud via a smartphone or satellite phone; a step of sending the number;
A method comprising:
The medical data and the GPS data are used to ensure that an optimal medical response occurs during the life-or-death golden hours following the crash, and that emergency personnel, police, and other responders are able to receive information on their way to and from the hospital. The aim is to provide optimal medical care after arrival.
Big data AI or statistical information of the system speeds up the delivery of ideal medical solutions to the victims;
By using this method, it is possible to safely track people moving around the world, both domestically and internationally. utilizing video and/or audio of the vehicle or application data voluntarily uploaded to a computer of the vehicle;
Verify the caller ID and obtain a police report that includes past medical history and any criminal or psychiatric history indicating the need for police intervention and appropriate nursing care associated with the incident type profile of the call. and all relevant data necessary to immediately begin a response;
By monitoring millions of vehicles and individuals on the move in one country or around the world with big data on the cloud, the medical history of those being monitored can be immediately accessed for optimal treatment after a crash. making available and utilizing Advanced Automatic Collision Notification (AACN) and injury severity scores (ISS) to improve medical care provided immediately following a collision;
2. The method of claim 1, further comprising: a communication unit;
GPS unit and
optionally connecting to an on-board sensor of the vehicle;
A system having
continuously monitoring the vehicle's GPS position, acceleration, deceleration, altitude, speed, and vehicle system status from a cloud and storing it in the cloud;
determining whether a collision, fire, or other emergency exists by comparing the collision history data in the cloud;
A system for making an emergency call and requesting the dispatch of paramedics and/or police officers to the scene of an accident by providing all medical and other records relevant to the person at risk of injury. Victims are identified using one or more of the following: smartphone or satellite phone caller ID, vehicle cameras, and facial and/or voice recognition software, and identified victim information is transferred to the cloud and to the smartphone or one of the data obtained in connection with the call and historical data, matched with optional medical records provided voluntarily via a satellite phone application and linked to the vehicle's computer; A system for generating and updating a profile of an accident victim based on one or more of the following:
The historical data includes one or more of past call data, police records, prison data, social media data, medical records, security records, and customer records. tracking all vehicles that have lost vehicle and/or mobile communication with the cloud;
If the time period during which mobile communication is lost exceeds a preset time limit, automatically dials the driver to check on the driver's status and/or dials 911 after a driver-selected period of time has elapsed. the step of reporting;
2. The method of claim 1, further comprising: using a smartphone or satellite phone application and/or software linked to said cloud;
continuously transmitting GPS data of the smartphone or satellite phone to track the vehicle and/or person;
verifying the time of occurrence of the collision by checking the altitude, acceleration, and deceleration data against a database of past collisions of similar vehicles;
thereby providing accurate collision and/or other emergency notification to the cloud and avoiding inaccurate 911 calls;
2. The method of claim 1, further comprising: Tracking via GPS data and consensually shared medical records from the smartphone or satellite phone application and/or the vehicle's sensors speeds up medical assistance by responders after crashes and other emergencies. further including the step of
The redundancy of the tracking device ensures automatic notification to an emergency telephone network in the event of an emergency that is not due to loss and/or corruption of data such as GPS data and/or equipment failure. , the method of claim 1. A system that works all over the world,
includes GPS data from a smartphone or satellite phone that tracks the vehicle and its occupants;
By comparing the GPS data with past GPS data and correcting the GPS data, defect-free GPS data is created by compensating for abnormalities including interruption or corruption of the GPS signal or loss of power. share data with said cloud;
The defect-free GPS data is used to calculate relevant velocity, speed, acceleration, deceleration, and other data to determine the type of vehicle being tracked and the occurrence of a collision and/or other emergency for the vehicle. Check and
reducing the likelihood of inaccurate emergency calls by storing the relevant altitude, speed, acceleration, deceleration, and other data in the cloud to continuously improve analysis of vehicle crash data;
When it detects a collision, it automatically calls the emergency phone network and/or sends a distress text message to request emergency responders, and finally, after the collision, Google Earth for debriefing during the accident investigation. A system that plots said collisions on a 3D map such as.

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