This invention relates to the field of vehicle tracking. More particularly, this invention relates to a system for monitoring locations and movements of vehicles on dealership lot to make gain insights into vehicle sales activities.
In large car dealerships having one or more lots, finding a specific car among hundreds of cars is challenging. Furthermore, cars are constantly being moved and test driven, which makes it difficult to know whether any specific car is currently available, even if it normally resides on a known lot. Also, detailed vehicle health and activity information needs to be communicated to different stakeholders dependent on contextual clues, such as time of day, potential customer queue, and vehicle lifecycle state.
Current solutions rely on Global Positioning System (GPS) receivers and cellular and/or Wi-Fi modems to determine and communicate vehicle locations. However, in the context of a dealership lot, conventional GPS receivers and cellular modems draw significant current, leading to excessive battery consumption and prematurely drained vehicle batteries. A practical solution to this technical challenge should intelligently enable and disable GPS receivers and cellular modems while still gathering granular and subtle vehicle movement information for lot management and test drive detection. Embodiments described herein combine the use of an accelerometer to detect initial movement for powering on the appropriate systems, determining precise movement and location information through the use of GPS, and communicating this information via a cellular and/or Wi-Fi modem.
Furthermore, conventional systems generally track and report raw location information, which in itself does not distinguish between situations in which a vehicle is on a test drive, has been loaned for temporary use, or has been newly purchased and is driving off the lot. Embodiments described herein evaluate multiple signals, including motion, speed, heading, distance, and time, to uniquely distinguish test drives from general driving or movement behavior.
Embodiments described herein include vehicle tracking devices installed in vehicles at a car dealership. The tracking devices utilize multiple sensors, including a GPS receiver for generating vehicle location data, and an accelerometer for generating vehicle motion data. Embodiments also include software applications installed on the smartphones of dealership sales representatives. Data from the vehicle tracking devices and data from the smartphone applications are received by a central server that uses the data to determine whether a vehicle is on a test drive, the identity of the salesperson who is with the vehicle, and the estimated time at which the vehicle will be returned to the dealership. Preferred embodiments establish a geofence around the dealership location, detect when vehicles exit and reenter the geofence, and communicate the exit/return event information back to the central server. The central server communicates the information to the smartphones of the dealership personnel to indicate the availability of a particular vehicle. Some embodiments also aggregate the information from multiple sensors to report on key metrics for optimizing dealer sales performance.
Preferred embodiments utilize the accelerometer, location data, and vehicle speed to determine that the car is in motion, along with the geofence exiting event and the elapsed time since exit to determine that a vehicle is on a test drive. Once the vehicle is known to be on a test drive, the vehicle tracking device communicates its state to the central server which flags the vehicle as “on test drive” so that the dealership personnel can determine the current status of any particular vehicle when they search for the vehicle via an electronic search on a mobile computer, desktop computer, or smartphone.
Test Drive and Associated Sales Personnel Detection
Some embodiments of the system correlate location and speed data from the smartphone of dealership sales representatives with location and speed data from a vehicle that is on a test drive to determine whether a sales representative is currently with the vehicle and to identify that sales representative. This correlation may also be communicated from the central server to the smartphones of other dealership personnel to provide the identity of the sales representative who is on the test drive. Alternatively, the dealership sales representative going on a test drive may explicitly record a check-out/check-in event through the mobile phone application and correlate that event to the specific vehicle.
In some preferred embodiments of the system, the central server calculates the estimated return time of a car on a test drive based on the known timestamp of a geofence exit event, the calculated average time of other test drives, the vehicle's current distance from the dealership, and the current status of traffic on surrounding streets which may be derived from traffic services. The estimated return time, the elapsed time, data on the test drive status, the identity of the dealership representative with the vehicle, and the vehicle's current location is communicated to dealership personnel who search for the vehicle using the central server.
Utilizing the same sensors and a geofence entry event, some preferred embodiments of the system detect the time at which the vehicle returns to the lot. This will subsequently result in the system communicating the vehicle status back to the central server. Once the status is updated, the central server distributes the information to the smartphones of relevant dealership personnel to inform them that the vehicle is out of test drive mode. In addition, any dealership representatives who searched for that vehicle during the test drive period will also receive a notification from the central server indicating that the car has returned.
In this regard, some embodiments provide an apparatus for managing information regarding an inventory of vehicles on a lot of an automobile dealership. The apparatus includes a plurality of vehicle tracking devices, each installed in a corresponding one of the vehicles. Each vehicle tracking device includes a location sensor and a wireless transceiver. The location sensor generates vehicle location information indicative of a geospatial location of the vehicle in which the vehicle tracking device is installed. The wireless transceiver communicates with a data communication network and transmits the vehicle location information via the data communication network. The apparatus includes a database for storing vehicle information regarding the vehicles in the inventory. The vehicle information for each vehicle includes the vehicle location information, test drive status information, and vehicle identification information. The apparatus also includes a central server in communication with the data communication network and the database. The central server executes instructions to:
In some embodiments, after determining that the particular vehicle is on a test drive, the central server executes instructions to generate a notification message for transmission via the data communication network for receipt by one or more mobile communication devices of salespersons employed by the automobile dealership. The notification message includes information indicating that the vehicle is on a test drive.
In some embodiments, the database stores salesperson information regarding salespersons employed by the automobile dealership. The salesperson information for each salesperson includes salesperson identification information and mobile device location information. The mobile device location information is indicative of a geospatial location of a mobile communication device of a salesperson. In these embodiments, the central server executes instructions to:
In some embodiments, the central server executes instructions to:
In some embodiments, after determining that the vehicle has returned from a test drive, the central server executes instructions to generate a notification message for transmission via the data communication network for receipt by one or more mobile communication devices of salespersons employed by the automobile dealership. The notification message includes information indicating that the vehicle has returned from a test drive.
In some embodiments, the data communication network is a Wi-Fi network or a cellular network, or a combination of such networks.
Test Drive Activities by Model
For car dealerships, test drive activity is a good early indicator of sales. Understanding various parameters of test drive activity helps car dealerships to plan and optimize their marketing and selling activities. Knowing which vehicles are test driven most and least provides insight into which vehicles are likely to be sold sooner.
In the example of
In this regard, after determining that a certain vehicle has returned from a test drive, the central server executes instructions to increment a sum that indicates a number of test drives completed for all vehicles in the inventory having make and model information that matches make and model information for that certain vehicle. In some embodiments, the central server executes instructions to calculate a number of test drives per vehicle of each make and model by dividing the sum by the total number of vehicles of each make and model.
Test Drive Activities by Day of Week
Some embodiments described herein provide information indicating which day of the week is the busiest with respect to test drives at car dealerships. Tracking the trend of this metric month-after-month and year-after-year can provide insights into how seasonality, holidays, and industry cycles affect car dealerships. For example, as shown in
In this regard, after determining that a certain vehicle has returned from a test drive, the central server executes instructions to increment a sum that indicates a total number of test drives completed for all vehicles in the inventory during a certain time period, such an hour, day, week, month, or year.
Other Vehicle Merchandizing Metrics
Additional vehicle merchandizing metrics may be derived using the combination of motion sensing, location sampling, and vehicle speed from the tracking device installed in the vehicle. Such data may also be correlated with location sampling and movement speed from the smartphone of a dealership sales representative. Based on this sensor data, embodiments of the invention provide insights into the vehicle purchasing process, including (1) which types of vehicles are of highest interest at particular points in time, (2) which sales representatives are most active and their times of highest activity, and (3) which vehicles are actually being sold, which may be determined based on location sampling, exit events from a dealership geofence, and the time of the exit events. Other metrics that may be derived include location(s) on a dealership lot where cars have the most test drive activities.
After-Hours Monitoring Mode
Some embodiments described herein enable the setup of an “after hours” mode, which is activated by a set of commands sent from a central server to devices on vehicles in the dealership lot. The in-vehicle devices receive the commands and provide signals to in-vehicle electronic switches to disable the starter ignition on all vehicles. The commands also configure the in-vehicle devices to generate alerts (email, SMS, and application push notifications) each night during hours that the dealership is closed for business. The alerts are triggered based on vehicle motion (accelerometer) and based on exiting the geofence associated with dealership lots. This combination of features provides a virtual alarm system that disables vehicles and notifies the appropriate personnel when there is unauthorized removal of vehicles from the lot during the designated after-hours time window.
In this regard, the central server of some embodiments executes instructions to:
In some embodiments, each of the vehicle tracking devices includes a motion sensor that generates vehicle motion information indicative of movement of the vehicle in which the vehicle tracking device is installed, and the wireless transceiver transmits the vehicle motion information via the data communication network. In these embodiments, the central server executes instructions to:
In some embodiments, each of the vehicle tracking devices includes an ignition disable circuit for disabling an ignition of a vehicle in which the vehicle tracking device is installed. In these embodiments, the central server executes instructions to:
Automated Key Distribution for Stacked Parking
When dealership personnel request a key for a specific car, some embodiments utilize up-to-date location data, and refresh the location data when needed by issuing a remote command to the in-vehicle device, to determine which cars are in the immediate vicinity that may be blocking movement of the specific target vehicle. Preferred embodiments provide a list of all the blocking vehicles for which the sales personnel should get keys in order to move those vehicles to allow movement of the target vehicle out of the lot. Furthermore, preferred embodiments utilize Bluetooth-beacon-enabled key tags that can communicate their approximate location through smartphone applications in use on the smart phones of dealer personnel.
In this regard, the central server of some embodiments executes instructions to:
In some embodiments, the response message is sent to one or more mobile communication devices associated with dealership personnel.
In some embodiments, the response message includes information needed to enable wireless communication between wireless-beacon-enabled key tags and the mobile communication devices associated with dealership personnel. The wireless-beacon-enabled key tags are attached to ignition keys that are needed to start the target vehicle and the adjacent vehicles.
In some embodiments, the wireless communication is enabled using a Bluetooth or another short-range wireless communication protocol.
In some embodiments, the response message includes location information indicating where the target vehicle and the adjacent vehicles are located on the lot of the automobile dealership.
In some embodiments, the response message includes key identification information for use by dealership personnel to identify ignition keys that are needed to start the target vehicle and the adjacent vehicles.
In some embodiments, the central server executes instructions to:
Other embodiments of the invention will become apparent by reference to the detailed description in conjunction with the figures, wherein elements are not to scale so as to more clearly show the details, wherein like reference numbers indicate like elements throughout the several views, and wherein:
Various embodiments described herein incorporate vehicle tracking devices 12, an example of which is depicted in block diagram form in
The vehicle tracking device 12 is preferably installed in a vehicle that is part of the inventory of an automobile dealership. For example, as shown in
As shown in
Test Drive and Associated Sales Personnel Detection
According to some embodiments of the system, a vehicle has completed a “test drive” if the following three criteria are met:
In some embodiments, a vehicle is designated as currently on a “test drive” if the following criteria are met:
Although these criteria will cover most test drives, a very small portion of test drives may not meet these criteria. On the other hand, a small number of uses of a vehicle that are not test drives may also meet these criteria, such as getting gas or other such activities.
As shown in
Periodically, the geospatial location of each vehicle in the dealer inventory is determined (step 102). This location information is generated by the location sensors 14 of the tracking devices 12 in the vehicles and transmitted via the network 26 to the central server 24. The generation of the location information may be periodically triggered by software running in the processor 18 of the tracking device 12, or by commands sent periodically from the central server 24 via the network 26 to the tracking device 12. For each vehicle whose location information indicates it is outside the geofence 28 (such as Vehicle C in
Referring back to step 102, for each vehicle whose location information indicates it is inside the geofence 28 (such as Vehicle A in
It should be noted that other vehicle status indicators could be set—other than or in addition to “on dealer lot” and “on test drive”—based on a vehicle being outside the geofence but not in motion (step 108), or outside the geofence and in motion but not collocated with a salesperson (step 112). These additional states may include “on loan” such as when a dealer has issued loaner car, or “at body shop” for vehicles that are in process of repair at an external service facility. Other states may include “at car wash” for vehicles that have been taken offsite for cleaning.
Test Drive Activities by Model
Using the vehicle tracking and test drive status update system described above, the total number of test drives and the average number of test drives for each make and model of vehicle may be determined and maintained in the database 32. For example, each time the test drive status of a vehicle having a particular make and model changes from “on vehicle lot” to “on test drive” and back to “on vehicle lot,” the central server 24 increments a first sum that represents the total number of test drives associated with an identifier for that specific make and model that is stored in the database 32. The central server 24 determines the average number of test drives for each make and model of vehicle by dividing the first sum by the total number of vehicles in inventory of the particular make and model. For example, if there are 142 Ford F-150 models in inventory, and the first sum of test drives is 929 for Ford F-150's, then the average number of test drives per Ford F-150 in inventory is 6.5 which may be rounded to 7.
Test Drive Activities by Day of Week
Using the vehicle tracking and test drive status update system described above, the total number of test drives of any vehicle on each day of the week may be determined and maintained in the database 32. For example, each time the test drive status of a vehicle changes from “on vehicle lot” to “on test drive” and back to “on vehicle lot,” and a timestamp associated with the event of coming back within the geofence 28 indicates that the day of the week is Sunday, then the central server 24 increments a daily sum in the database 32 that represents the total number of test drives for all vehicles that occurred on a Sunday. In a preferred embodiment, a daily sum is maintained in the database 32 for each day of the week, and the central server 24 is operable to generate a display of test drives per day of the week as shown in
In some embodiments, the granularity of the test drive data may be increased by keeping sums for various incremental time periods during the day on any particular day of the week.
Other Vehicle Merchandizing Metrics
The vehicle tracking and test drive status update system described above may also be used to determine which salespersons are most active with respect to test drives and their times of highest activity. For example, each time the test drive status of a vehicle changes from “on vehicle lot” to “on test drive” and back to “on vehicle lot,” and the location coordinates of a salesperson's mobile device 30a-30d indicates that the salesperson is collocated with the vehicle on the test drive, then the central server 24 increments a sum in the database 32 that represents the total number of test drives in which that particular salesperson has participated. This sum may be determined and reported for any length of reporting period, such as per day, per week, per month, or per year. This sum may also be kept for various incremental time periods during the day on any particular day of the week. In some embodiments, these sums for each salesperson may be determined and reported to sales managers to provide a gauge on how busy the sales staff is. These sums may also be used in competitive scenarios, in which awards and incentives are presented to salespersons having the highest numbers of test drives per scoring period.
The vehicle tracking and test drive status update system described above may also be used to identify locations on a dealership lot where the most test drive activities originate. For example, when it is determined that a particular vehicle has exited the dealership geofence 28 and the criteria is met for its status to be “on test drive,” the central server 24 stores the location coordinates for the location at which the vehicle was most recently stationary (parked) for some minimum period of time before it exited the geofence 28. The central server 24 then determines that these location coordinates where the vehicle was parked are within a particular area in the dealership lot. The central server 24 then increments a test drive sum for that particular area. For example, each individual area in the dealership may encompass sixteen (4×4) or twenty-five (5×5) parking spaces within the lot, and test drive sums are determined and maintained in the database 32 for each individual area. Using these metrics, dealership management personnel may determine that high numbers of test drives originate in certain areas of the lot, regardless of the make/model of vehicles parked in that area. This knowledge may lead to a strategy for placing certain vehicle makes/models within that high-activity area to increase the chances of those vehicles being test driven.
After-Hours Monitoring Mode
As depicted in
Upon receipt of the start message (step 202), the central server 24 generates an after-hours initiation command which is transmitted via the wireless network 26 to vehicle tracking devices (such as 12a and 12b) installed in vehicles (such as Vehicle A and Vehicle B) that are in inventory of the dealership and located within the dealership geofence 28 (step 204). In the preferred embodiment, the after-hours initiation command is not sent to tracking devices installed in vehicles that are in inventory but not within the dealership geofence 28, such as vehicles that may be on overnight loan to dealership personnel. Upon receipt of the after-hours initiation command, the processor 18 of each tracking device:
Automated Key Distribution for Stacked Parking
As depicted in
The first location request message is received by the tracking device 12 installed in the target vehicle, and in response, the location sensor 14 of the tracking device 12 acquires its current location coordinates, and the wireless transceiver 20 transmits a first response message containing the current location coordinates. Based on the current location coordinates of the target vehicle and the previously recorded location coordinates of adjacent vehicles, the central server 24 determines from which of the adjacent vehicles updated location coordinates are needed. The central server 24 then transmits a second location request message that requests the current location coordinates of the vehicles that were determined to possibly be adjacent to the target vehicle based on their prior coordinates (step 304).
In response to the second location request message, the location sensors 14 of the tracking devices 12 in the adjacent vehicles acquire their current location coordinates, and the wireless transceivers 20 transmit second response messages containing the current location coordinates (step 306). Based on the reported current location coordinates from the vehicles in the vicinity of the target vehicle, the central server 24 determines which of those vehicles will need to be moved to gain access to the target vehicle (step 308). To account for potential GPS drift due to weak receiver signals, the central server 24 may discard geospatial data points that were determined with less than a threshold number of available GPS satellites, and then calculate a centroid of the remaining good historical data points to more precisely identify the location of each vehicle and it's relative location to the target vehicle. In a preferred embodiment, the central server 24 uses these calculated points to derive a virtual matrix map of the target vehicle and the immediate surrounding vehicles to recommend the vehicles that will need to be moved. Furthermore, the central server 24 preferably identifies the lack of vehicles in front or behind the target vehicle to determine how many adjacent vehicles need to be moved to get the target vehicle out.
The central server 24 then generates a list of identification numbers of the keys of all of the vehicles that will need to be moved, which list also includes the identification number of the key of the target vehicle (step 310). That key ID list is then transmitted via the communication network 26 to the mobile device 30a-30d that requested the list, and the list is displayed on the mobile device 30a-30d (step 312). Using the list, the salesperson can go collect the keys needed to gain access to and move the target vehicle.
The foregoing description of preferred embodiments for this invention have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obvious modifications or variations are possible in light of the above teachings. The embodiments are chosen and described in an effort to provide the best illustrations of the principles of the invention and its practical application, and to thereby enable one of ordinary skill in the art to utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated. All such modifications and variations are within the scope of the invention as determined by the appended claims when interpreted in accordance with the breadth to which they are fairly, legally, and equitably entitled.
This application claims priority to U.S. provisional patent application Ser. No. 62/618,120, filed Jan. 17, 2018, titled MONITORING VEHICLE ACTIVITY AND COMMUNICATING INSIGHTS FROM VEHICLES AT AN AUTOMOBILE DEALERSHIP, the entire contents of which are incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
6025774 | Forbes | Feb 2000 | A |
6249217 | Forbes | Jun 2001 | B1 |
7102510 | Boling et al. | Sep 2006 | B2 |
7215282 | Boling et al. | May 2007 | B2 |
7366551 | Hartley | Apr 2008 | B1 |
7546151 | Hartley | Jun 2009 | B2 |
7675423 | Boling et al. | Mar 2010 | B2 |
7818098 | Koepf et al. | Oct 2010 | B2 |
7830305 | Boling et al. | Nov 2010 | B2 |
7970496 | Koepf et al. | Jun 2011 | B2 |
8018332 | Boling et al. | Sep 2011 | B2 |
8368561 | Welch et al. | Feb 2013 | B2 |
8452673 | Boling et al. | May 2013 | B2 |
8462021 | Welch et al. | Jun 2013 | B2 |
8510200 | Pearlman et al. | Aug 2013 | B2 |
8760274 | Boling et al. | Jun 2014 | B2 |
8933802 | Baade | Jan 2015 | B2 |
9008894 | Bishop et al. | Apr 2015 | B2 |
9060213 | Jones | Jun 2015 | B2 |
9070271 | Baade et al. | Jun 2015 | B2 |
9316737 | Baade | Apr 2016 | B2 |
9332404 | Boling et al. | May 2016 | B2 |
9516394 | Carlo et al. | Dec 2016 | B2 |
9551788 | Epler | Jan 2017 | B2 |
9779379 | Hall et al. | Oct 2017 | B2 |
9779449 | Meyer et al. | Oct 2017 | B2 |
9911151 | Gordon | Mar 2018 | B1 |
10089598 | Reeder et al. | Oct 2018 | B2 |
10169822 | Jarvis et al. | Jan 2019 | B2 |
10223744 | Brady et al. | Mar 2019 | B2 |
10232823 | Bobay et al. | Mar 2019 | B1 |
10255824 | Pearlman et al. | Apr 2019 | B2 |
20050026627 | Boling et al. | Feb 2005 | A1 |
20050215194 | Boling et al. | Sep 2005 | A1 |
20060007038 | Boling et al. | Jan 2006 | A1 |
20070152844 | Hartley et al. | Jul 2007 | A1 |
20080147245 | Koepf et al. | Jun 2008 | A1 |
20080186135 | Boling et al. | Aug 2008 | A1 |
20080198018 | Hartley | Aug 2008 | A1 |
20080287151 | Fjelstad et al. | Nov 2008 | A1 |
20090043445 | Bishop et al. | Feb 2009 | A1 |
20090224966 | Boling et al. | Sep 2009 | A1 |
20100103042 | Bishop et al. | Apr 2010 | A1 |
20100299020 | Koepf et al. | Nov 2010 | A1 |
20110016514 | Carlo et al. | Jan 2011 | A1 |
20110093159 | Boling | Apr 2011 | A1 |
20110241903 | Welch et al. | Oct 2011 | A1 |
20120299721 | Jones | Nov 2012 | A1 |
20120299755 | Jones | Nov 2012 | A1 |
20130088371 | Welch et al. | Apr 2013 | A1 |
20130127617 | Baade et al. | May 2013 | A1 |
20130141249 | Pearlman et al. | Jun 2013 | A1 |
20130144770 | Boling et al. | Jun 2013 | A1 |
20130144771 | Boling et al. | Jun 2013 | A1 |
20130144805 | Boling et al. | Jun 2013 | A1 |
20130147617 | Boling et al. | Jun 2013 | A1 |
20130159214 | Boling et al. | Jun 2013 | A1 |
20130185193 | Boling et al. | Jul 2013 | A1 |
20130302757 | Pearlman et al. | Nov 2013 | A1 |
20140012634 | Pearlman et al. | Jan 2014 | A1 |
20140052605 | Beerle et al. | Feb 2014 | A1 |
20140074692 | Beerle et al. | Mar 2014 | A1 |
20140095061 | Hyde | Apr 2014 | A1 |
20140125500 | Baade | May 2014 | A1 |
20140125501 | Baade | May 2014 | A1 |
20140280658 | Boling et al. | Sep 2014 | A1 |
20150006207 | Jarvis et al. | Jan 2015 | A1 |
20150019270 | Jarvis et al. | Jan 2015 | A1 |
20150024727 | Hale-Pletka et al. | Jan 2015 | A1 |
20150066362 | Meyer et al. | Mar 2015 | A1 |
20150067312 | Lewandowski et al. | Mar 2015 | A1 |
20150095255 | Hall et al. | Apr 2015 | A1 |
20150186991 | Meyer et al. | Jul 2015 | A1 |
20150193726 | Simmons | Jul 2015 | A1 |
20150332592 | Cooper | Nov 2015 | A1 |
20150356497 | Reeder et al. | Dec 2015 | A1 |
20160225072 | Brady et al. | Aug 2016 | A1 |
20160282466 | Epler | Sep 2016 | A1 |
20170262717 | Drazan et al. | Sep 2017 | A1 |
20180300967 | Winograd | Oct 2018 | A1 |
20180352198 | Raasch et al. | Dec 2018 | A1 |
20190005442 | Reeder et al. | Jan 2019 | A1 |
20190061692 | Bobay et al. | Feb 2019 | A1 |
20200200918 | Wascow | Jun 2020 | A1 |
Number | Date | Country |
---|---|---|
2683208 | Nov 2008 | CA |
2837320 | Nov 2012 | CA |
2856796 | May 2013 | CA |
2867447 | Sep 2013 | CA |
2826902 | Mar 2014 | CA |
2828835 | Apr 2014 | CA |
2832185 | May 2014 | CA |
2846134 | Sep 2014 | CA |
2009011420 | Mar 2010 | MX |
2010001545 | Aug 2010 | MX |
2005086933 | Sep 2005 | WO |
2006028995 | Mar 2006 | WO |
2006028995 | Feb 2007 | WO |
2007146449 | Dec 2007 | WO |
2007146449 | Oct 2008 | WO |
2008121612 | Oct 2008 | WO |
2008144411 | Nov 2008 | WO |
2005086933 | Dec 2008 | WO |
2009021117 | Feb 2009 | WO |
2010047887 | Apr 2010 | WO |
2012162358 | Nov 2012 | WO |
2012162450 | Nov 2012 | WO |
2013078291 | May 2013 | WO |
2013138798 | Sep 2013 | WO |
Number | Date | Country | |
---|---|---|---|
62618120 | Jan 2018 | US |