Methods and systems for predicting and evaluating coffee characteristics
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-003/0484
A23F-005/26
A23F-005/24
G06F-003/0481
G06T-007/00
G01N-033/14
G01N-015/02
출원번호
US-0216034
(2014-03-17)
등록번호
US-9940004
(2018-04-10)
발명자
/ 주소
Mayworm, Gregory
출원인 / 주소
Mayworm, Gregory
대리인 / 주소
Quarles & Brady LLP
인용정보
피인용 횟수 :
0인용 특허 :
3
초록▼
Methods and apparatuses for predicting characteristics of coffee using only a portable communications device having data processing capabilities and an embedded camera. Images of a comminuted substance are captured by the camera, with particle characteristics being quantified and entered into a data
Methods and apparatuses for predicting characteristics of coffee using only a portable communications device having data processing capabilities and an embedded camera. Images of a comminuted substance are captured by the camera, with particle characteristics being quantified and entered into a data processor of the portable communications device. This information is combined with archived data such as known characteristics of ground coffee. The combined information is processed to predict the final characteristics of the brewed coffee. Predicted final characteristics may be displayed on a display of the portable communications device.
대표청구항▼
1. A method for predicting characteristics of coffee, using a self-contained portable communications device, the method comprising: capturing an image of ground coffee particles using a camera which is part of a portable communications device;deriving particle size distribution data from the capture
1. A method for predicting characteristics of coffee, using a self-contained portable communications device, the method comprising: capturing an image of ground coffee particles using a camera which is part of a portable communications device;deriving particle size distribution data from the captured image or images;processing, within the portable communications device, the particle size distribution data in combination with standardized data associated with the ground coffee particles; andcalculating, within the portable communications device, predicted characteristics of the coffee after the ground coffee particles will have been extracted into water, the predicted characteristics of the coffee being based on at least the particle size distribution data of the ground coffee particles. 2. The method of claim 1, wherein the portable communications device includes a display, further comprising displaying on the display the predicted characteristics of the coffee. 3. The method of claim 1, wherein deriving the particle size distribution data from the captured images comprises, using the portable communications device, determining average particle size of the ground coffee particles prior to infusing the water with the ground coffee particles. 4. The method of claim 1, further comprising collecting personal preferences related to the coffee from a person, entering collected personal preferences into the memory of the portable communications device, and using the portable communications device, deriving a personal profile from the collected personal preferences. 5. Apparatus for predicting characteristics of coffee to be prepared from ground coffee particles, the apparatus comprising: a communications device having a processor, a memory in data transfer relation to the processor, and a camera in data transfer relation to the memory;a database loaded into the memory including trait values for a plurality of candidate brewing apparatus and trait values for a plurality of candidate coffee types; andcomputer instructions loaded into the memory in a non-transitory computer-readable medium that when executed, are configured to instruct the processor to derive particle size distribution data associated with the ground coffee particles from images captured by the camera and to enter the particle size distribution data into the memory as data for use in calculating predictable characteristics of the coffee, and utilize the particle size distribution data of the ground coffee particles and the trait values for the plurality of candidate brewing apparatus and trait values for a plurality of candidate coffee types to calculate an amount of coffee extraction from a brewing process utilizing the ground coffee particles. 6. The apparatus of claim 5, further comprising a display on the communications device and computer instructions embodied in a non-transitory computer-readable medium and loaded into communications device that, when executed, are configured to instruct the data processor of the communications device to generate a data output from calculated coffee extraction, and to display the data output on the display of the communications device in a format understandable by a person. 7. The apparatus of claim 5, further comprising a user interface on the communications device, and computer instructions embodied in a non-transitory computer-readable medium that, when executed, are configured to instruct the communications device to receive, via the user interface of the self-contained apparatus, a rating set comprising the person's ratings for each of a plurality of rated items corresponding to the coffee in which ground coffee particles are extracted. 8. A method of utilizing particle size distribution of ground coffee particles, comprising: capturing an image of representative ground coffee particles using a camera which is part of a communications device;obtaining particle size distribution data from the captured images; andutilizing the distribution of the particle size distribution data to determine an amount of coffee extraction from a brewing process utilizing selected ground coffee particles. 9. The method of claim 8, further including calculating characteristics of coffee which will be brewed from the ground coffee particles by entering the particle size distribution data into a processor having loaded therein in a non-transitory computer-readable medium, computer instructions that when executed are configured to instruct the processor to calculate characteristics of coffee brewed from the ground coffee particles using in part the particle size distribution data. 10. The method of claim 9, wherein calculating characteristics of coffee which will be brewed from the ground coffee particles further comprises calculating and displaying a coffee to water ratio for a selected brewing device. 11. The method of claim 9, further comprising calculating conformity of the coffee which will be brewed from the ground coffee particles with a predetermined user taste preference. 12. The method of claim 8, wherein the particle size distribution relates to the flavor profile of the brewed coffee. 13. The method of claim 8, wherein analyzing the distribution of the particle size distribution data to determine an aspect of ground coffee particles further comprises determining performance characteristics of a coffee grinder. 14. The method of claim 13, wherein determining performance characteristics of a coffee grinder further comprises tracking consistency of particle sizes as the coffee grinder is used over a time interval. 15. The method of claim 13, further comprising using particle size distribution data as a means to calibrate a coffee grinder. 16. The method of claim 8, further comprising displaying data corresponding to the particle grind size distribution data utilized as a descriptive element on coffee packaging, marketing and educational materials. 17. The method of claim 8, wherein obtaining the particle size distribution data comprises using: a portable data processing device having a processor, a memory in data transfer relation to the processor, and a camera in data transfer relation to the memory, a database loaded into the memory including trait values for a plurality of candidate ground coffees, and computer instructions loaded into the memory in a non-transitory computer-readable medium that when executed, are configured to instruct the processor to derive particle size distribution data associated with the ground coffee particles from images captured by the camera and to enter the particle size distribution data into the memory as data for use in calculating an amount of coffee extraction from a brewing process utilizing selected ground coffee particles, and utilize the particle size distribution data of the ground coffee particles and trait values for a plurality of candidate coffee types to calculate the amount of coffee extraction for the coffee to be prepared. 18. The method of claim 17, further comprising utilizing processing capabilities and camera capabilities of a smartphone. 19. The method of claim 8, wherein obtaining the particle size distribution data comprises performing image analysis of ground coffee particles. 20. The method of claim 8, further including utilizing a coffee extraction model which considers extraction parameters of ground coffee particles. 21. A method for determining a coffee brew ratio utilizing a coffee extraction model that is configurable for a plurality of brewing apparatus, comprising selecting a brewing method configured for said brewing apparatus that includes extraction parameters of said coffee extraction model;determining the average grind size of the coffee grounds used in said coffee extraction model that is proportional to the average surface area of the coffee grounds, the determination of average grind size of the coffee grounds occurring prior to brewing coffee utilizing the coffee grounds, wherein the average grind size of the coffee grounds is determined using an image of the coffee grounds captured using a camera associated with a communication device; and,computing the brew ratio given said average grind size and an adjustable desired coffee strength, which is equivalent to the percent of dissolved solids within the brewed coffee, the computing step being accomplished prior to brewing coffee utilizing the coffee grounds;whereby, the coffee brew ratio is displayed in a human readable form as an amount of coffee and an amount of water with a plurality of measurement units. 22. A machine for determining the coffee brew ratio that results from a selected coffee brew strength using a plurality of brewing apparatus, comprising: a computer or derivative of, such as a tablet or a smartphone, which provides the framework for hosting the software application;a non-volatile memory in said computer that stores said software application that can be launched to begin execution and linked to associated databases;a user interface generated from said software application and presented on the computer display screen;an input device used to navigate said user interface in a plurality of form factors including but not limited to a touch screen or mechanical mouse;a plurality of widgets attached to said user interface that allow setting of values to be stored in said memory and/or database for use by a coffee extraction model that computes said coffee brew ratio;the software application being capable of determining the average grind size of the coffee grounds used in said coffee extraction model that is proportional to the average surface area of the sample coffee grounds, the software application being further capable of determining the average grind size of the coffee grounds prior to brewing coffee utilizing the coffee grounds, the average grind size being determined using an image of the coffee grounds captured using a camera associated with the machine; and,a grind size widget that is attached to said user interface that inputs said average grind size that is stored in said memory and accessed by said coffee extraction model;whereby, the coffee brew ratio is displayed in a human readable form as an amount of coffee and an amount of water with a plurality of measurement units.
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이 특허에 인용된 특허 (3)
Anderson Kyle T. (Issaquah WA) Goss Duke W. (Kirkland WA) Lee Michael G . (Redmond WA), Automated milk inclusive coffee apparatus.
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