Wireless coded communication (WCC) devices with power harvesting power sources for monitoring state data of objects
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
H04W-076/00
H04W-004/80
H04L-029/08
H04W-076/14
H04W-084/12
H04W-088/06
출원번호
US-0217977
(2016-07-23)
등록번호
US-10187773
(2019-01-22)
발명자
/ 주소
Zalewski, Gary M.
Penilla, Albert S.
출원인 / 주소
Zalewski, Gary M.
인용정보
피인용 횟수 :
0인용 특허 :
84
초록▼
Devices, systems, and method are provided for wireless coded communication (WCC) devices, which are configured for wireless communication with other devices, e.g., over a network. A WCC device is a type of internet of things (IOT) device that can sense data, process data, send data, respond to data
Devices, systems, and method are provided for wireless coded communication (WCC) devices, which are configured for wireless communication with other devices, e.g., over a network. A WCC device is a type of internet of things (IOT) device that can sense data, process data, send data, respond to data requests and exchange data with other WCC device, a network device, a user device, and/or systems over the internet. In some configurations, a WCC device may include a power source that enables usage of low power, e.g., to send data that is sensed, request data and/or communicate data wirelessly. WCC devices maybe function as standalone devices or may be integrated into other devices. In some configurations, a WCC device may include power harvesting circuitry, including power harvesting user controls. A WCC device may be pre-configured or coded to report occurrence of an event, log an event, log state, cause an action, send a message or request data from one or more end nodes. In some configurations, the devices enable communication over a wireless network, which enables access to the Internet and further enables cloud processing on data received or processing for data returned or communicated.
대표청구항▼
1. A method for detecting status from a plurality of items, comprising: associating a plurality of wireless coded communication (WCC) devices to a plurality of physical items, each of the physical items capable of being associated with one or more state data in response to user input;detecting user
1. A method for detecting status from a plurality of items, comprising: associating a plurality of wireless coded communication (WCC) devices to a plurality of physical items, each of the physical items capable of being associated with one or more state data in response to user input;detecting user input at one of the physical items, the user input causes a first WCC device associated with the physical item to automatically transmit a first message over a wireless network to an end node;wherein the end node is configured to receive the message and perform an action upon receiving the message;wherein at least one physical item is comprised of a product offered for sale in a retail store and where the user input is comprised of both an identity of a user and an indication of a status of the item as to whether the user has touched the product, lifted the product from a shelf, moved the product, or released the product in the retail store. 2. The method of claim 1, wherein the action includes one or more of recording the message to a log, sending a new message to another node, sending a message to a predefined recipient, processing an input to an application, changing a state of another application, comparing the message with another message, display a message to a display screen, send data to server, send data to a cloud system, enable a device, disable a device, reset an operation, record a change, record a preference, encrypt data, decrypt data, capture an image, perform a data prediction, add an item to a shopping cart, record a biometric signal, capture biometric data, or two or more thereof. 3. The method of claim 1, wherein the WCC is one of battery powered, connected to power, connected to DC power, connected to AC power, connected to a power source, or connected to a power pump, or connected to an energy harvesting circuit, or connected to a piezoelectric device, or a combination of two or more thereof. 4. The method of claim 1, wherein a second WCC device produces second state data that is further associated with the physical item, the second WCC device is configured to track movement of the physical item and transmit said second state data in a second message to the end node, the first message and second message being collectively analyzed to determine a status of the physical item. 5. The method of claim 4, wherein the physical items in the retail store are at least partially placed into areas of the retail store according to data deduced from said collective analysis of said first message and said second message, wherein taking a physical item from the retail store without stopping at a register defines a cashier-less retail transaction. 6. The method of claim 4, wherein at least one WCC device associated with one or more physical items, that operates without batteries, uses backscatter RF in transmission of the first message over the wireless network to the end noted, or other messages to the end node or other devices proximate to the WCC or a remote device connected over a network. 7. The method of claim 1, wherein at least one WCC device is configured with a camera configured for imaging the user. 8. The method of claim 1, wherein the status of the physical item relates to an absence or a presence of the physical item on a shelf of the retail store or in a hand of the user or in a shopping cart. 9. The method of claim 1, wherein the messages are used to identify a quantity of physical items that remain on a shelf of the store. 10. The method of claim 1, wherein the end node provides data for performing a cashier-less checkout using the status of one or more physical items along with account information associated with the user. 11. The method of claim 1, wherein machine learning is used to identify user input, including patterns in use and predictions, and to form recommendations. 12. The method of claim 1, wherein the method is deployed for execution of program instructions executed by one or more computers associated with the retail store that enables the user to pick up one or more of said products offered for sale located on one or more shelves of the retail store and leave the retail store without stopping at a human operated charge register. 13. The method of claim 12, further comprising, detecting a physical shopping cart passing through an area of the retail store where at least one physical item in the physical shopping cart includes an RFID tag, the detecting includes scanned the physical shopping chart to confirm the status of the physical item as being charged for payment by the user. 14. The method of claim 12, further comprising, detecting an identity of the user before entering the retail store or before exiting the retail store with one or more of said products offered for sale in the retail store. 15. The method of claim 14, wherein the user is associated with a pre-defined account that is linked to a credit card or a digital form of payment. 16. The method of claim 1, wherein machine learning is used to learn needs of the user at a particular time based on one or more states of the WCC devices and based on historical data associated with the WCC or other WCC devices. 17. The method of claim 1, wherein at least one WCC device is attached to or located proximate to one or more physical items on a shelf of a retail store, the WCC device located proximate to a physical item causes a wireless transmission to be received by a device associate with a user located proximate to the physical item. 18. The method of claim 17, wherein the device associated with the user receives the wireless transmission, the transmission providing information to generate feedback to the user, the feedback indicating the physical item's adherence to a pre-set criteria including a diet. 19. The method of claim 1, further comprising, executing learning and predicting algorithms to identify or recommend a result, or a next input, or a next screen, or a suggested input, or suggested data that is determined relevant for a particular time, or suggested data that is determined relevant for a particular location, or suggested state of one or more of the WCC devices. 20. The method of claim 1, wherein the user input is comprised of a button press, said button press causing the physical item to be associated with an identity of a user who pressed the button, said user being associated with a pre-defined account that is linked to a credit card or a digital form of payment. 21. A method for detecting status from a plurality of items, comprising: associating a plurality of sensor devices to a shelf having plurality of physical items, each of the physical items capable of being associated with one or more state data in response to user interaction; anddetecting user interaction by a user with one of the physical items, the user interactions causes a first sensor device associated with the physical item to automatically transmit a first message over a network to an end node;wherein the end node is configured to receive the message and perform an action upon receiving the message;wherein at least one physical item is offered for sale in a retail store and where the user interaction is associated to an identity of the user and an indication of a status of the physical item as to whether the user has touched the physical item, lifted the physical item from the shelf, moved the physical item, or released the physical item in the retail store. 22. The method of claim 21, wherein at least one sensor is a camera. 23. The method of claim 22, wherein the end node provides data for performing a cashier-less checkout using status of one or more physical items along with account information associated with the user. 24. The method of claim 22, wherein the method is executed by one or more computers associated with the physical items that enables the user to pick up one or more of said physical items offered for sale located in the retail store and leave the retail store without stopping at a human assisted checkout register. 25. The method of claim 24, further comprising, detecting a physical shopping cart passing through an area of the retail store. 26. The method of claim 25, wherein the physical shopping cart refers to the physical items picked up by the user or a physical shopping cart holding those physical items picked up by the user. 27. The method of claim 25, further comprising, detecting the identity of the user before exiting the retail store,wherein the area in the retail store in which the shopping cart passes is associated with completion of shopping or to an exit. 28. The method of claim 27, wherein detecting the identity of the user is performed at least in part by image processing, or by receiving identifying information from a device of the user, or via a QR code displayed on a display, or via biometric processing, or via near field communication, or via MAC address, or via a certificate or via a receiving identifying information of the user. 29. The method of claim 22 wherein the user interaction is represented in image input, or voice input, or fingerprint input, or image scan input, or eye scan input, or gesture input, or motion input, or signature input, or password input, or button press input, or button dial input, or sliding input, or pressing and sliding input, or lifting input, or pulling input, or depressing input, or pumping action input, or multiple press input, or tap input, or rub input, or gesturing and pressing input, or hand scan input, or area scan input, or thermal image capture input, or infrared image input, or combination of two or more thereof. 30. The method of claim 29, wherein machine learning is used to identify user interaction. 31. The method of claim 30, wherein at least one of the sensors is of a different type than the camera. 32. The method of claim 30, wherein the sensor is configured with a processing entity to perform local image analysis, or perform local object detection or locally process a scene imaged by the sensor; or wherein data reflecting the sensor output is received by a remote processing device linked through a wire-based or wireless network.
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