IPC분류정보
| 국가/구분 |
United States(US) Patent
등록
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| 국제특허분류(IPC7판) |
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| 출원번호 |
US-0202075
(2008-08-29)
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| 등록번호 |
US-8433507
(2013-04-30)
|
|
발명자
/ 주소 |
- Hannah, Stephen E.
- Carter, Scott J.
- James, Jesse M.
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| 출원인 / 주소 |
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| 대리인 / 주소 |
Knobbe, Martens, Olson & Bear LLP
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| 인용정보 |
피인용 횟수 :
41 인용 특허 :
45 |
초록
▼
A vehicle tracking system includes a wheel containing sensor circuitry capable of sensing various types of conditions, such as wheel rotation, wheel vibration caused by skidding, and specific electromagnetic and/or magnetic signals indicative of particular wheel locations. The sensor circuitry is co
A vehicle tracking system includes a wheel containing sensor circuitry capable of sensing various types of conditions, such as wheel rotation, wheel vibration caused by skidding, and specific electromagnetic and/or magnetic signals indicative of particular wheel locations. The sensor circuitry is coupled to an RF transceiver, which may but need not be included within the wheel. The wheel may also include a brake mechanism. In one embodiment, the wheels are placed on shopping carts and are used to collect and monitor shopping cart status and location data via a wireless network. The collected data may be used for various purposes, such as locking the wheel of an exiting cart if the customer has not paid, estimating numbers of queued carts, stopping wheel skid events that occur during mechanized cart retrieval, store planning, and providing location-based messaging to customers.
대표청구항
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1. A method of monitoring shopping cart usage, comprising: generating shopping cart event data via two-way radio frequency (RF) communications with each of a plurality of shopping carts associated with a store, said event data including information reflective of zone entry events detected by particu
1. A method of monitoring shopping cart usage, comprising: generating shopping cart event data via two-way radio frequency (RF) communications with each of a plurality of shopping carts associated with a store, said event data including information reflective of zone entry events detected by particular shopping carts, each zone entry event representing entry of a particular shopping cart into a particular zone of a plurality of zones associated with said store, said zone entry events detected by the corresponding shopping carts based on transmissions received by the shopping carts from corresponding antennas mounted in a monitoring area associated with the store, said shopping cart event data additionally including battery level data reported by said shopping carts, said battery level data reflective of battery levels of batteries included in wheel assemblies of said shopping carts;aggregating the shopping cart event data associated with the plurality of shopping carts in a data repository; andprogrammatically analyzing the aggregated shopping cart event data to generate statistical information regarding said shopping carts;wherein the method comprises, via circuitry included in the wheel assemblies of the shopping carts, generating received signal strength measurements based on said transmissions, and using the received signal strength measurements to detect said zone entry events. 2. The method of claim 1, wherein the statistical information comprises an indication of a number of shopping carts currently in active use. 3. The method of claim 1, wherein the statistical information comprises information regarding amounts of time spent by customers in a particular merchandise area of said store. 4. The method of claim 1, further comprising using the event data to make automated determinations of whether particular shopping carts are authorized to exit the store. 5. The method of claim 1, wherein generating said shopping cart event data comprises, via electronic circuitry of said shopping carts, detecting transmissions from each of a plurality of devices located in said store, and transmitting information regarding the detected transmissions on a radio frequency link. 6. The method of claim 5, wherein the information regarding the detected transmissions comprises RSSI (received signal strength indication) data derived from said transmissions. 7. The method of claim 1, wherein programmatically analyzing the aggregated shopping cart event data comprises associating particular shopping cart paths followed by customers with particular purchase transaction records generated by a point-of-sale system. 8. The method of claim 1, wherein programmatically analyzing the aggregated shopping cart event data comprises associating particular shopping cart paths followed by customers with particular customer identifiers. 9. A system for monitoring shopping cart usage, said system comprising wheel assemblies that attach to the shopping carts, and comprising devices that communicate wirelessly with the wheel assemblies, the system configured to implement a method that comprises: generating shopping cart event data via two-way radio frequency (RF) communications with each of a plurality of shopping carts associated with a store, said event data including information reflective of zone entry events detected by particular shopping carts, each zone entry event representing entry of a particular shopping cart into a particular zone of a plurality of zones associated with said store, said zone entry events detected by the corresponding shopping carts based on transmissions received by the shopping carts from corresponding antennas mounted in a monitoring area associated with the store, said shopping cart event data additionally including battery level data reported by said shopping carts, said battery level data reflective of battery levels of batteries included in the wheel assemblies of said shopping carts;aggregating the shopping cart event data associated with the plurality of shopping carts in a data repository; andprogrammatically analyzing the aggregated shopping cart event data to generate statistical information regarding said shopping carts;wherein the method comprises, via circuitry included in the wheel assemblies of the shopping carts, generating received signal strength measurements based on said transmissions, and using the received signal strength measurements to detect said zone entry events. 10. The method of claim 7, wherein associating particular shopping cart paths with particular purchase transaction records comprises comparing event data reported by a shopping cart to time stamp and register ID information included in a purchase transaction record generated by the point-of-sale system. 11. The method of claim 7, further comprising determining from the shopping cart paths and the associated purchase transaction records whether customers tend to look in a wrong location before finding a desired product. 12. The method of claim 7, further comprising determining from the shopping cart paths and associated purchase transaction records whether customers tend to linger in a particular store area without selecting a product to purchase. 13. The method of claim 1, wherein programmatically analyzing the aggregated shopping cart event data comprises matching a particular shopping cart session record to a particular purchase transaction, said shopping cart session record including data reflective of a path taken by a corresponding shopping cart in said store. 14. The method of claim 1, wherein the method comprises receiving, via wireless access points mounted in said store, RF transmissions of said shopping cart event data from transceivers housed within respective wheel assemblies of said shopping carts. 15. The method of claim 14, further comprising communicating the shopping cart event data from the wireless access points to a central node. 16. The method of claim 1, wherein the shopping cart event data additionally includes data reported by the shopping carts regarding wheel locking events. 17. The method of claim 1, wherein the shopping cart event data additionally includes wheel rotation speed data generated via rotation sensors included in wheel assemblies of the shopping carts. 18. The method of claim 1, further comprising, via execution of instructions by a processor, using the shopping cart event data to determine whether to activate a braking mechanism of a shopping cart.
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