EP3942232A1 - Speichern von mittels eines haushaltsgeräts aufgenommenen bildern - Google Patents
Speichern von mittels eines haushaltsgeräts aufgenommenen bildernInfo
- Publication number
- EP3942232A1 EP3942232A1 EP20711909.0A EP20711909A EP3942232A1 EP 3942232 A1 EP3942232 A1 EP 3942232A1 EP 20711909 A EP20711909 A EP 20711909A EP 3942232 A1 EP3942232 A1 EP 3942232A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- images
- image
- evaluation number
- evaluation
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C7/00—Stoves or ranges heated by electric energy
- F24C7/08—Arrangement or mounting of control or safety devices
- F24C7/082—Arrangement or mounting of control or safety devices on ranges, e.g. control panels, illumination
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B6/00—Heating by electric, magnetic or electromagnetic fields
- H05B6/64—Heating using microwaves
- H05B6/6447—Method of operation or details of the microwave heating apparatus related to the use of detectors or sensors
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
- A47L15/4295—Arrangements for detecting or measuring the condition of the crockery or tableware, e.g. nature or quantity
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
Definitions
- the invention relates to a method for storing images recorded by means of a camera of a household appliance in chronological order during an operating sequence, in which images are stored together in a data memory of the household appliance with a predetermined number of storage locations for the images.
- the invention also relates to a method in which images stored in a data memory are played back chronologically, sequentially.
- the invention also relates to a household appliance, having a treatment room, at least one camera directed into the treatment room and a data processing device for carrying out the method.
- the invention is particularly advantageously applicable to the storage of images recorded during a cooking process from a cooking space of a cooking appliance, in particular an oven.
- ovens that are equipped with a camera to monitor their oven or cooking space.
- the camera can be used to record image sequences of the food to be cooked in the cooking space, for example in order to be able to observe and evaluate the progress of browning during a cooking process.
- the object is achieved by a method for storing images ("image sequence") recorded by means of a camera of a household appliance in a chronological sequence during an operating sequence, in which
- Images are stored together with a time stamp and a rating number in a data memory with a predetermined number of storage locations for the images, and then
- step b) if all storage spaces are occupied with images, from the images stored in the data memory, those images are deleted whose evaluation number does not reach a predetermined threshold value, and the process branches back to step a),
- evaluation number of an image represents a measure of a visual difference to a previously recorded image.
- This method has the advantage that the possibility is provided of storing images of an image sequence with image content relevant for household appliances with limited (“predetermined”) storage space for a practically unlimited duration, thus achieving a practically unlimited recording time.
- predetermined limited
- the memory space freed up in this way is filled with newly recorded images until it is exhausted again. Images are then deleted again which (according to the new, typically higher threshold value) do not differ greatly from one another in terms of time, etc.
- images remain that belong to an increasingly longer image sequence, with the image Differences between consecutive remaining images typically get bigger and bigger.
- Another advantage is that the method can be implemented easily, in particular by means of an integrated circuit with low computing power such as a microcontroller, an FPGA, an ASIC, etc.
- the images recorded by the camera can in particular be recorded by means of a fixed, predetermined frame rate.
- the sequence of images recorded by the camera can be viewed as a "video stream”.
- the sequence of images stored in the data memory can also be viewed as a video stream, but then the associated time intervals between two consecutive images are usually no longer constant, but result from the difference in their time stamps or the time information present in the time stamp.
- the time stamp can in particular include or represent the time the associated image was taken.
- the household appliance can be a large household appliance or a small household appliance, in particular in the sense of so-called white goods.
- the large household appliance can e.g. a laundry care device (such as a washing machine, tumble dryer, washer dryer, etc.) or a kitchen device such as a dishwasher, refrigerator or cooking device (e.g. an oven, hob, microwave, steam treatment device or any combination thereof, etc.) be.
- the method is used in particular to save the image sequence of the household appliance during an operating sequence of the household appliance, e.g. during a cooking process, a rinsing process, a washing process, etc. of corresponding items such as items to be cooked, laundry, dishes, chilled items, etc.
- the camera can take pictures a treatment room of the cooking appliance (eg a cooking chamber, a washing drum, a cooling chamber, etc.) to take or be directed into such a treatment room.
- the camera can, however, also be set up (configured and arranged) to record images of food being cooked on a hob and for this purpose, for example, be integrated into an extractor hood arranged above it.
- the operating sequence can also be a sequence in which no goods are treated, for example a cleaning sequence, etc.
- the operating sequence can be an operating program for the household appliance.
- the method can therefore be, purely by way of example, a method for storing images recorded during a cooking process by means of a camera of a cooking device in chronological
- the camera can be a black and white camera or - advantageously - a color camera.
- the camera can alternatively or additionally be an IR camera or it can be sensitive in the IR range.
- the images recorded by the camera are in particular pixel-like images with basically any resolutions.
- the time stamp comprises information about the point in time when the associated image was recorded, for example as the absolute point in time of the recording and / or as the relative time since the beginning of the first recording or since the beginning of the method.
- a time sequence and a time interval between two images can in particular be determined by means of the time stamp.
- the data memory is in particular a data memory integrated into the household appliance.
- images are deleted whose evaluation number does not reach a predetermined threshold value can include deleting from the data memory all images whose evaluation number is below the predetermined threshold value.
- all images can be deleted whose evaluation number reaches but does not exceed the predefined threshold value, this case not being discussed further below.
- the evaluation number can also be calculated in such a way that it is lower the greater the difference in the image.
- all images can be deleted whose evaluation number is above the specified threshold value. In other words, be particular all pictures are deleted whose visual difference to a previously recorded picture is not sufficiently great or large.
- the fact that the evaluation number represents a measure of a visual difference between two images can in particular include that the higher the visual difference, the higher the evaluation number.
- the visual difference can relate to a shape of objects depicted in the two images and / or to their color. Two images that are identical in shape and color can in particular have the lowest evaluation number, for example zero.
- step a) After you branched back to step a) after deleting images in step b), previously released memory spaces are filled with newly recorded images in step a) until the memory space is full again, etc.
- Step b) can also be understood as the application of a “reduction algorithm” for deleting images with the lowest relevance.
- Images with the lowest relevance or irrelevant images can be understood to mean, in particular, images which have little or no difference to a previous image.
- the images stored in the data memory can in principle be stored in any order, since their time stamp specifies a clear temporal position or chronological sequence.
- the images can already be stored in the data memory in chronological order or in chronological order.
- images with a rating that is too low can be removed from the memory, the remaining images can be pushed together and new images can be appended to the vacant spaces. This means that the images are in the data memory in the chronologically correct order.
- step b) is carried out repeatedly until the end of the cooking process with an increasing evaluation number. This ensures that images are deleted in step b) in a particularly reliable manner.
- step b) no images or a sufficient number of images are deleted while the evaluation number remains the same. If the data memory is filled with images in step a), an attempt is first made in step b) to delete images with the rating number last used. If it turns out that no images or an insufficient number of images are deleted, the evaluation number is increased and then step b) is carried out again. Only after step b) has been carried out a second time is a branch back to step a).
- step b) the evaluation number is increased each time step b) is carried out (at least as long as the evaluation number is not calculated again for all existing images, as will be described in more detail below).
- step b the evaluation number is increased each time step b) is carried out (at least as long as the evaluation number is not calculated again for all existing images, as will be described in more detail below).
- an increase in the evaluation number is an incremental increase, that is to say the evaluation number is increased by its smallest increment when it is increased. For example, if the evaluation numbers each have a distance of one from their nearest neighbors, the evaluation number is increased in particular by the value one. In general, however, the increase or step size of the evaluation number can be chosen freely, for example also variably in the course of the method.
- One embodiment is that in step b) before the deletion, the evaluation numbers of all images whose evaluation number does not reach the threshold value are added to the evaluation number of the temporally closest image whose evaluation number reaches the threshold value.
- step b) all images with an evaluation number BZ below threshold value 5 are to be deleted, that is, all images with BZ ⁇ 5. This applies to Image_2, Image_3 and Image_4.
- step b) with the deletion of Image_2, Image_3 and Image_4, their evaluation numbers BZ are added to the next image in time that is not deleted, namely Image_5:
- the free memory spaces of Image_2, Image_3 and Image_4 can be filled with newly recorded images in a following step a).
- the evaluation numbers of all images whose evaluation number does not reach the threshold value are added to the evaluation number of the temporally closest image whose evaluation number reaches the threshold value, and
- step b) all images with an evaluation number BZ below threshold value 5 are to be deleted, that is, all images with BZ ⁇ 5. This initially concerns the images Image_2, Image_3 and Image_4.
- step b) the evaluation numbers BZ of these images present at the transition to step b) are added to the temporally next image:
- the free memory spaces of Image_2 and Image_3 can be filled with newly recorded images in a following step a).
- the evaluation numbers of the images whose evaluation number does not reach the threshold value are added cumulatively in ascending order in time to the next still available image until the cumulatively added evaluation number reaches the threshold value and
- step b) all images with an evaluation number BZ below threshold value 5 are to be deleted, that is, all images with BZ ⁇ 5.
- the evaluation numbers of all images that remain or are stored after performing step b) are recalculated. This results in a particularly advantageous retention of meaningful images.
- the recalculation can in particular be carried out before the branch back to step a).
- the recalculation of the evaluation numbers in a subsequent step b) is followed by a simple deletion of all images which do not reach the threshold value. This makes use of the fact that, due to the recalculation of the valuation numbers, their subsequent addition does not make sense, at least if the recalculation is carried out every time with step b). However, if the recalculation does not take place in every step b), an addition can be useful for the steps b) carried out in between.
- the highest evaluation number is assigned to the first image. This has the advantage that the first image always remains in the image sequence and is also defined in terms of its evaluation number.
- the image values can for example be brightness values, e.g. Grayscale values or color brightness values associated with a respective color channel.
- the brightness values can e.g. in a range of values [0; 255]. If several image values are assigned to a pixel (for example brightness values for three color channels R, G and B), the mean values determined as a function of the color channel can be averaged again to determine the final evaluation number.
- the evaluation number BZ for an image with (mn) pixels can consequently be expressed as: with Wp j a value of a channel Kp of a certain pixel with the coordinate (x, y).
- the invention is not restricted to this and can for example also have more or fewer channels, in particular color channels. In the case of a grayscale image, only one channel can be present, the pixel values then corresponding to the corresponding brightnesses of the pixels.
- Wpi is a corresponding value for the image saved last before the image (the "image taken before”).
- the previously recorded image can in particular be understood to mean an image whose time stamp has the next earlier time stamp to the time stamp of imageJ.
- that image stored in the data memory can be used as a comparison which has the time stamp that is next in time for this purpose.
- the evaluation number for an image is therefore in particular in the value range of the image values of the individual pixels. It can be rounded, e.g. to a whole value, especially rounded up or down.
- the evaluation number of an image corresponds to the linear correlation coefficient to the previously recorded image, in particular depending on the color channel.
- the determination of a linear correlation coefficient for two images is generally known and is therefore no longer described here.
- the evaluation number of an image corresponds to the difference between Fourier transformed spectral values and the image recorded before, in particular as a function of the color channel.
- spatial frequencies of two images are compared and evaluated.
- the quantification of a difference between two spectra, in particular Fourier spectra, is generally known and is therefore not discussed further here.
- the evaluation number of those images whose evaluation number does not reach the predetermined threshold value is set to zero before deletion and then all images are deleted from the data memory whose evaluation number is zero.
- the stored images are raw images, that is, in particular, are not compressed. This has the advantage of a particularly reliable and sensitive image comparison. Image processing can then also be dispensed with, which saves computing power.
- the raw images are in particular full images. In particular, they include the raw data of the recorded images.
- the images can also be recorded at a low frame rate or stored in the data memory, e.g. at a frame rate of one frame per second or even less, e.g. one image every five, ten, thirty seconds, etc.
- the use of a low image rate is also advantageous because it allows visual differences between consecutive images to be determined particularly well and the evaluation number is particularly meaningful, especially in the case of gradual changes in a sequence of images.
- the computing effort can also be kept particularly low in this way.
- the object is also achieved by a method in which, by means of the method as described above, images stored in a data memory are played back chronologically sequentially (with an ascending time stamp), e.g. in the sense of a video stream.
- This has the advantage that an image sequence recorded over a very long period of time can be displayed in the manner of a time lapse (Zeitraf ferdar ein), the time intervals (intervals between the time stamps) between the stored images usually being different.
- a particular advantage is that practically only images are played, the sequence of which is particularly meaningful, since successive images differ comparatively strongly.
- the image sequence of the stored images is displayed on a screen.
- a user can advantageously track a result of operating a household appliance. For example, a user would like food to be cooked in one Oven cooks, but does not have time to constantly monitor the cooking progress: the user first loads the food into the oven and then starts a cooking process. Then the user leaves the room for a longer period of time. During the cooking process, images of the cooking space and thus of the food to be cooked are recorded and saved as described above. If the user comes back after his absence, he can track the progress of cooking (e.g. browning progress) by playing the stored images in ascending and thus chronologically correct order (especially in the manner of a time lapse).
- the progress of cooking e.g. browning progress
- images stored in the data memory with chronologically consecutive time stamps that have a large difference in their evaluation numbers are not played back directly in a sequence of images or video sequences to be played, but rather separated from one another by one or more calculated intermediate images.
- the intermediate images calculated automatically by the device are images generated by interpolation from the two images actually recorded. This advantageously enables a smoother visual transition between two very different images.
- Another use of the stored images is to optically evaluate them on the device side, e.g. for recognizing that a predetermined final degree of browning has been reached, which can be determined, in particular, predictable, for example, from a temporal course of the degree of browning.
- the household appliance can automatically trigger an action based on the result of the evaluation, for example end a cooking process.
- Playing back the images stored in the data memory can therefore include displaying the images on a screen and / or evaluating them.
- the object is also achieved by a household appliance, in particular a cooking device, having a treatment room, in particular a cooking room, at least one camera directed into the treatment room for recording images for the method as described above and a data processing device for performing the method as described above. It is a development that the household appliance has a screen for playing back an image sequence generated according to the above method.
- FIG. 1 shows, as a sectional illustration in side view, a sketch of an oven which is set up to allow the method according to the invention to run.
- the oven 1 shows, as a sectional illustration in side view, a sketch of an oven 1 with a cooking chamber 2 in which the food G is accommodated.
- the oven 1 has a camera 3, in particular a color camera, which is arranged on the ceiling here and which is directed into the cooking space 2 and can record images from above which show the food G to be cooked.
- the camera 3 is coupled to a data processing device 4 which has a data memory 5.
- the data processing device 4 is used to process the images recorded by the camera 3, in particular to store them in the data memory 5 as raw images, to calculate an evaluation number and to assign a time stamp to each image.
- the assignment of the rating number and the time stamp can be done by saving in table form and corresponding links.
- the images can be generated and / or stored at a comparatively low frame rate, e.g. an image per second can be stored in the data memory 5.
- the data processing device 4 only has a microcontroller, FPGA, ASIC or the like. for data processing.
- the data memory 5 is also made small.
- the data processing device 4 is also connected to a screen 6 of the oven 1, for example a touch-sensitive screen.
- the data processing device 4 is set up in particular to display the images stored in the data memory 5 in chronological order on the screen 6, for example as a video stream.
- the data processing device 4 can be used to carry out a method for storing images recorded by the camera 3 in chronological order during an operating sequence.
- a first image is recorded at the beginning of the method in a step S1 and assigned a highest evaluation number.
- An associated time stamp is also generated.
- a further image is then recorded in step S2 and an associated time stamp is generated.
- step S3 a rating number is calculated and assigned to the further image by means of the data processing device 4, basically based on any one of the calculation methods described above, or in another way.
- step S4 it is checked whether the data memory 5 will be full or soon full. If not ("N"), a branch is made back to step S2.
- step S6 these images which do not reach the specified threshold value are deleted from the data memory 5.
- step S6 these images which do not reach the specified threshold value are deleted from the data memory 5.
- step S2 A branch is then made back to step S2.
- the method can be terminated when a certain condition is met, for example a cooking parameter (such as a cooking time, degree of browning, etc.) has reached a specified target value or a user actively ends the process.
- a cooking parameter such as a cooking time, degree of browning, etc.
- a number can also include exactly the specified number as well as a customary tolerance range, as long as this is not explicitly excluded.
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Television Signal Processing For Recording (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102019203629.5A DE102019203629A1 (de) | 2019-03-18 | 2019-03-18 | Speichern von mittels eines Haushaltsgeräts aufgenommenen Bildern |
| PCT/EP2020/057083 WO2020187830A1 (de) | 2019-03-18 | 2020-03-16 | Speichern von mittels eines haushaltsgeräts aufgenommenen bildern |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP3942232A1 true EP3942232A1 (de) | 2022-01-26 |
| EP3942232B1 EP3942232B1 (de) | 2024-05-08 |
Family
ID=69845423
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP20711909.0A Active EP3942232B1 (de) | 2019-03-18 | 2020-03-16 | Verfahren zum speichern von mittels einer kamera eines haushaltsgrossgeräts in zeitlicher abfolge während eines betriebsablaufs aufgenommenen bildern |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP3942232B1 (de) |
| DE (1) | DE102019203629A1 (de) |
| PL (1) | PL3942232T3 (de) |
| WO (1) | WO2020187830A1 (de) |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE522856C2 (sv) * | 1999-01-29 | 2004-03-09 | Axis Ab | En datalagrings- och reduceringsmetod för digitala bilder, samt ett övervakningssystem som använder nämnda metod |
| JP2005151546A (ja) * | 2003-10-20 | 2005-06-09 | Matsushita Electric Ind Co Ltd | マルチメディアデータ記録装置、モニタシステム、およびマルチメディアデータ記録方法 |
| CN105222521B (zh) * | 2013-04-23 | 2018-01-09 | Lg电子株式会社 | 冰箱及其控制方法 |
| JP5853155B2 (ja) * | 2013-10-24 | 2016-02-09 | パナソニックIpマネジメント株式会社 | 加熱調理器、調理システム、演算装置及び調理支援方法 |
| JP6335847B2 (ja) * | 2015-06-30 | 2018-05-30 | 三菱電機株式会社 | 冷蔵庫 |
| JP6920594B2 (ja) * | 2016-07-11 | 2021-08-18 | パナソニックIpマネジメント株式会社 | 加熱調理器 |
| DE102016215550A1 (de) * | 2016-08-18 | 2018-02-22 | BSH Hausgeräte GmbH | Feststellen eines Bräunungsgrads von Gargut |
-
2019
- 2019-03-18 DE DE102019203629.5A patent/DE102019203629A1/de not_active Withdrawn
-
2020
- 2020-03-16 PL PL20711909.0T patent/PL3942232T3/pl unknown
- 2020-03-16 EP EP20711909.0A patent/EP3942232B1/de active Active
- 2020-03-16 WO PCT/EP2020/057083 patent/WO2020187830A1/de not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| PL3942232T3 (pl) | 2024-09-02 |
| EP3942232B1 (de) | 2024-05-08 |
| DE102019203629A1 (de) | 2020-09-24 |
| WO2020187830A1 (de) | 2020-09-24 |
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