Abstract: A method for detecting a cleaning need of a commercial cooking appliance with at least one cooking surface. The method includes the steps of capturing at least one image of at least a part of the cooking surface and/or at least a part of a cooking product, comparing the captured image of the part of the cooking surface with a prestored reference image of a contaminated cooking surface requiring cleaning and/or of the captured image of the part of the cooking product with a prestored reference image of the cooking product in a cooking status indicating a need for cleaning the cooking surface, and deciding, based on the result of the comparison, whether a cleaning is needed. A further aspect relates to a quality management monitoring system as well as a commercial appliance with a quality management monitoring system.

Abstract: Items are identified and valuated based at least in part on an image that shows a depiction of the one or more items. The image is analyzed to identify the items, such as by a categorization. The items are valuated based upon the description, category, and/or additional information from the user about the items. The valuation is also based upon information from a valuation database. The identification and valuation may then be used for any of numerous purposes.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: An identification method for identifying a target to be measured includes accepting, from an input section, an information representing a condition for acquiring spectral information specific to a target to be measured, capturing, by a spectrometry camera, an image of the target, acquiring the spectral information specific to the target based on the captured image, and identifying the target based on (i) the spectral information and (ii) a database, stored in a memory, containing a plurality of pieces of spectral information corresponding to a plurality of objects. Acquiring the spectral information includes preferentially acquiring the spectral information specific to the target in a specific wavelength region where the target is identifiable.

Abstract: Aspects of this disclosure include a system for providing non-contact, computer-vision based monitoring of the health and pollination activity of a beehive. The system may include camera positioned proximate to a beehive. The camera may include an onboard processor that analyzes video of the beehive captured by the camera and calculates an activity value that estimates a number of bees moving about the beehive. The video calculated activity values may be uploaded to a server where they can be accessed via a user device. The user device may allow the user to display interactive plots of the activity values over a variety of time bases. The disclosed beehive monitoring system relies on relatively lost-cost hardware and requires neither modification to the hive nor special constraints on the placement of the camera.

Abstract: In some embodiments, a computer-implemented method is disclosed.

Abstract: A system and method for automating a recorded observed behavior of a laboratory animal in a clinical trial is disclosed. The present invention records a video of the laboratory animal with respect to one or more objects. The recorded data is utilized to detect at least one feature points such as head, whiskers, tail, waist etc. of the animal and a one or more objects in video, wherein the one or more objects are a known object and an unknown object. The present invention thus automatically determines the behavior characteristics of the animal by measuring a proximity and comparing the proximity with a predefined threshold criterion with respect to the one or more objects without human intervention. The behavior characteristics are determined in the form of a type of behavioral events, a time interval, number of occurrences of each type of behavioral events, latency, and distance travelled by the animal.

Abstract: Embodiment of the present application provides a method and an apparatus for calculating a luminance value of a region of interest.

Abstract: Tools for fire monitoring are presented. One method includes an operation for accessing values of features for monitoring a fire in a region. The features include satellite images at a first resolution, vegetation information, and weather data. Further, each satellite image includes first cells associated with the geographical region and the first resolution defines a first size of each first cell. The method further includes generating a map of the geographical region comprising a plurality of second cells having a second size, which is smaller than the first size. Additionally, the method includes operations for estimating, using a machine-learning model, probability values for the second cells in the map based on the features, each probability value indicating if the second cell contains an active fire, and for updating the map based on the probability values for the second cells. The map is presented in a user interface.

Abstract: A diagnostic support for a skin includes a radio-transparent structure that defines a folding surface of the skin and on which the skin may be stretched and consequently folded, thereby defining folded, mutually superimposed portions spaced apart from each other. The support may be used for radiographic inspection of a folded animal skin.

Abstract: Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.

Abstract: A method for determining a specific surface area of a given material includes preparing plural samples of a dye and the given material; imagining the plural samples to generate digital images; calculating from the digital images, a saturation S for each of the plural samples; selecting a single saturation S value that corresponds to an excess dye condition; and calculating the specific surface area Ss based on the single saturation S value, for the given material.

Abstract: Example systems and methods for virtual visualization of a three-dimensional (3D) model of an object in a two-dimensional (2D) environment. The method may include projecting a ray from a user device to a ground plane and determining an angle at which the projected ray touches the ground plane. The method further helps determine a level for the ground plane for positioning the 3D model of the object in the 2D environment.

Abstract: The present technology relates to a sensing system, a sensing method, and a sensing device which are capable of performing measurement with higher accuracy. A sensing system is configured such that a plurality of reference reflection regions having a reflectance corresponding to an inspection target are prepared for each wavelength band which is a target for sensing of the inspection target as reference reflection regions, and is configured to sense the reference reflection region having a reflectance corresponding to the inspection target for each wavelength band which is a target for sensing of the inspection target at the time of sensing a region including the inspection target and the reference reflection region. The present technology can be applied to a system for measuring a vegetation index such as a normalized difference vegetation index (NDVI).

Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.

Abstract: Systems and methods for virtual agronomic sensing are provided. In embodiments methods comprise receiving first agronomic data for a first geographic location comprising sensor data from agronomic sensors at the first geographic location; receiving first agronomic information for the first geographic location; and generating first predictive agronomic data for the first geographic location using the first agronomic data for the first geographic location and the first agronomic information for the first geographic location.

Abstract: A health condition estimation device capable of accurately estimating the health condition of a cow includes: a three-dimensional coordinates acquisition unit which acquires a group of three-dimensional coordinates representing the three-dimensional shape of a cow extracted from a distance image of the cow; a feature amount extraction unit which extracts the feature amount of the cow according to the group of three-dimensional coordinates acquired by the three-dimensional coordinates acquisition unit; and a score calculation unit which calculates a score that indicates the health condition of the cow, according to the feature amount extracted by the feature amount extraction unit.

Abstract: A livestock development gauging system is provided. The livestock development gauging system includes a pen, an imaging device and a processing system. The pen defines a livestock containment area. The imaging device is suspended proximate to the livestock containment area and configured to generate images of livestock in the livestock containment area. The processing system is configured to determine a livestock health measurement of the livestock based on an analysis of the images of the livestock.

Abstract: An underwater camera system for monitoring fish in a fish pen is described. A stereoscopic camera may be used to determine dimensions of fish, and the underwater camera system may use the fish dimensions to estimate a biomass value of fish within the fish pen. The biomass value and rates of change of the biomass value may be used to adjust feeding of the fish in the fish pen. Images captured by the stereoscopic camera may be used to focus a variable focal lens camera on a fish to obtain high-resolution images that can be used for diagnosing fish conditions. Images captured by the stereoscopic camera may be used to predict motion of the fish, and the predicted motion may be used to generate various fish monitoring analytic values. The fish monitoring analytic values may be used to automatically control operation of the fish pen.

Abstract: A computing system that can receive an object search request from a user indicating a request to search for a specific object in an area traversed by one or more autonomous vehicle. The object search request can include a set of physical characteristics of the specific object. The computing system can then transmit a signal to an autonomous vehicle indicating a request for the autonomous vehicle to search for the specific object. The signal can cause the autonomous vehicle to transmit an image, selected based on a physical characteristic of the object, to the computing system. The computing system can then generate a score indicative of a difference between one or more physical characteristic of the object in the image and the specific object. The computing system can then selectively transmit the image to a mobile device operated by the user based on the score.

Abstract: A system including circuitry configured to process multispectral image data of a meal to obtain information on the contents of the meal; and generate, based on the obtained information, a query with guidance to change image capture settings.

Abstract: A facility inspection system prevents a normal part from being detected as an abnormal part caused by a deviation in an alignment due to a presence/absence of a moving object in detecting the abnormal part in a surrounding environment of a vehicle moving on a track. The system includes a photographing device, storage device, separation unit, an alignment unit, and a extraction unit. The photographing device photographs the surrounding environment of the moving vehicle. The storage device stores a reference alignment point cloud and a reference difference-extraction point cloud for each position on the track. The separation unit separates the alignment point cloud from a three-dimensional point cloud. The alignment unit aligns the reference alignment point cloud and the alignment point cloud and outputs alignment information. The extraction unit extracts a difference between the three-dimensional point cloud deformed based on the alignment information and the reference difference-extraction point cloud.

Abstract: A method and system for providing more relevant search results and recommendation from a food database is disclosed. The method includes receiving a query, a first candidate food, and a second candidate food. The method includes generating text feature vectors based on the query and food names of the first and second candidate foods using at least one first embedding function of a machine learning model. The method includes determining nutrition content vectors from the nutritional data of the first and second candidate foods. The method includes generating a nutrition content vector based on the query using a second embedding function of the machine learning model. The method includes determining which of the first and second candidate food is more relevant to the query based on the text feature vectors and the nutrition content vectors. The method includes providing search results or recommendation based on the determined relevance.

Abstract: An image analysis system including an image gathering unit that gathers a high-altitude image having multiple channels, an image analysis unit that segments the high-altitude image into a plurality of equally size tiles and determines an index value based on at least one channel of the image where the image analysis unit identifies areas containing anomalies in each image.

Abstract: Generating consensus biomass estimates include providing a first biomass parameter data set associated with a first biomass attribute parameter to a first biomass estimation model and providing a second biomass parameter data set associated with a second biomass attribute parameter to a second biomass estimation model different from the first biomass estimation model. The first biomass estimation model is adaptively weighted with a first weighting factor relative to a second weighting factor for the second biomass estimation model. An aggregated biomass estimate is determined based on a combination of the first biomass estimation model using the first weight factor and the second biomass estimation model using the second weight factor.

Abstract: Provided is a farm work support device including a reception unit configured to receive designation of plants to be cultivated, a retrieval unit configured to retrieve a vegetation design which is a vegetation combination proper for construction of a mixed and dense growth state of the designated plants, and an output unit configured to output the retrieved vegetation design.

Abstract: A facility inspection system prevents a normal part from being detected as an abnormal part caused by a deviation in an alignment due to a presence/absence of a moving object in detecting the abnormal part in a surrounding environment of a vehicle moving on a track. The system includes a photographing device, storage device, separation unit, an alignment unit, and a extraction unit. The photographing device photographs the surrounding environment of the moving vehicle. The storage device stores a reference alignment point cloud and a reference difference-extraction point cloud for each position on the track. The separation unit separates the alignment point cloud from a three-dimensional point cloud. The alignment unit aligns the reference alignment point cloud and the alignment point cloud and outputs alignment information. The extraction unit extracts a difference between the three-dimensional point cloud deformed based on the alignment information and the reference difference-extraction point cloud.

Abstract: A system for distinguishing identities based on nose prints of animals contains: an input end, a database, an identification unit, and an output end. The input end is configured to input image data. The database includes multiple animal identity data which are actual nose prints data, actual body information, actual face data, and identity information of the animals. The identification unit is electrically connected with the input end, the database, and an output end. The identification unit includes multiple identification programs configured to analyze the image data, thus obtaining compared nose prints data, compared body information, and compared face data of the animals. The compared nose prints data, the compared body information, and the compared face data of the animals are compared with the actual nose prints data, the actual body information, and the actual face data of the animal identity data respectively.

Abstract: A method (100) for recognizing weed in a natural environment may be provided. A digital image of weed in an early development stage is captured (102) among cultivated crop. Areas with a predefined color and texture specification are contoured (104) defining a boundary contour. The weed is displayed (106) together with a frame and a quality indicator. Moreover, the digital image is stored (110) only if a predefined quality criterion is met. Then, unnecessary color information may be reset (112), the digital image is sent (116) for a further examination, and a weed name of the weed of the captured image and a related probability value indicative of a probability of a match between the weed name and the weed of the captured digital image together image is received (118).

Abstract: The method for item recognition can include: optionally calibrating a sampling system, determining visual data using the sampling system, determining a point cloud, determining region masks based on the point cloud, generating a surface reconstruction for each item, generating image segments for each item based on the surface reconstruction, and determining a class identifier for each item using the respective image segments.

Abstract: In one general embodiment, an article of manufacture includes an objective reference having at least two optical references. The optical references are selected from a group consisting of: a non-human-visible mark, a ruler, a spaced grid, a color calibration area, an area of reflectivity, a texture, and a pattern. In at other general embodiment, a method includes receiving an image of a product and an objective reference having at least two optical references. The optical references are selected from a group consisting of: a non-human-visible mark, a ruler, a spaced grid, a color calibration area, an area of reflectivity, a texture, and a pattern. The product is evaluated by comparing the product in the image to the optical references in the image.

Abstract: The invention provides a system and a method for determining a physiological condition of a ruminant. The system comprises a sensor unit and a calculating unit. The sensor unit generates a stream of measuring data that are indicative of a movement condition of the ruminant. The calculating unit uses a neural network for calculating a stream of condition data from the stream of measuring data. The condition data indicate a physiological condition of the ruminant.

Abstract: A method and system for generating a map identifying the size and location of anomalous crop health patterns of a geographic area. Predictive crop health forecasting based historical crop health images generates expected crop health images. Statistical parametric mapping is used to model differences in the expected crop health images and current crop health images to generate a statistical parametric map. Regions of anomalous crop health based on the modeled differences are identified in the statistical parametric map. The number of the identified anomalous crop health regions and the size of each of the identified anomalous crop health regions are determined. The statistical significance of the size and number of the anomalous crop health regions relative to the expected crop health is quantified. A map of anomalous crop health patterns delineates the anomalous crop health regions and the statistical significance of the size and number of anomalous crop health regions.

Abstract: A method of removing a foreign object from a food piece detects the location of a foreign object in a food piece (10); conveys the food piece to a cutting tool (42); and operates the cutting tool to cut around the detected location of the foreign object and subsequently to engage and eject the foreign object from the food piece.

Abstract: Provided is a non-invasive system and method of determining muscle tissue size based on image processing. The method includes receiving at least one ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the image provided by a plurality of pixels. The method continues by introducing noise into the pixels of the image and thresholding the pixels of the image to provide a binary image having a plurality of structural elements of different sizes. The method continues with morphing the structural elements of the binary image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle tissue from remaining elements and determines the muscle tissue size. Associated apparatuses and computer program products are also disclosed.

Abstract: A disclosed system for providing wood-cultivated ginseng age information includes a background sheet made of paper or plastic, a consumer terminal configured to obtain a wood-cultivated ginseng image of a wood-cultivated ginseng placed on the background sheet by a user, receive the start line of a wood-cultivated ginseng rhizome and the end line of the wood-cultivated ginseng rhizome by the user, calculate a wood-cultivated ginseng rhizome length using the obtained wood-cultivated ginseng image and the obtained start line and end line of the wood-cultivated ginseng rhizome, and transmit the calculated wood-cultivated ginseng rhizome length, and a server configured to previously store wood-cultivated ginseng age information corresponding to a wood-cultivated ginseng rhizome length, search for wood-cultivated ginseng age information corresponding to the wood-cultivated ginseng rhizome length received from the consumer terminal, and transmit the retrieved wood-cultivated ginseng age information to the consumer t

Abstract: A system for identifying compatible meal options. The system includes a body analysis module configured to receive a user biological marker, select a clustering dataset from a clustering database, generate a hierarchical clustering algorithm and assign a plurality of user body measurements to a first classified dataset cluster. The system includes a food analysis module configured to select a food training set from a food database, generate using a supervised machine-learning process a food model, generate a food tolerance instruction set, and display on a graphical user interface the food tolerance instruction set. The system includes a menu generator module configured to select a menu training set from a menu database, generate using a supervised machine-learning process a menu model that produces an output containing a plurality of menu options, and display on a graphical user interface the plurality of menu options.

Abstract: Systems and methods for detecting udder disease based on machine learning methods and complementary supporting techniques are presented. Included are methods for assembling time sequences of images of each animal of a herd or set for subsequent use in per-animal image analysis for disease detection. Methods presented also include image pre-processing methods used prior to image analysis, resulting in contrast and resolution optimization such as appropriate image intensity level adjust wilt and resolution down sampling for more rapid and more accurate disease detection. Combinatorial techniques for compositing whole-udder images or udder-quarter images from partial images captures are described. Methods are provided for power usage optimization in regard to computing resources used in the computing-intensive AI analysis methods. Location-based and animal history-based detection refinements are incorporated into described systems.

Abstract: A management system that comprises a movement management part that: communicates via communication devices with a plurality of mobile bodies that include autonomous mobile bodies that comprise an autonomous control part that is for autonomous movement; and manages the movement of the plurality of mobile bodies. The autonomous mobile bodies comprise a display device that performs outward-facing display. The movement management part has a superiority determination part that, on the basis of individual information for the plurality of mobile bodies, determines a preference ranking for the movement of the plurality of mobile bodies. The autonomous mobile bodies comprise a display control part that controls the display of the display device in accordance with the preference ranking determined by the superiority determination part.

Abstract: A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

Abstract: A method for assessing at least one condition of a plant material is provided. The method may include providing a spectral image, normalizing the spectral image to generate a normalized spectral image, processing the normalized spectral image to generate at least one processed spectral image, providing a palette file, and generating a displayable false color image from the at least one processed spectral image and the palette file. The method may include capturing a multi-spectral image of the plant material with a multi-spectral imager. The plant material may be a portion of a cannabis plant and the condition may be one of, or relating to, health. A non-transitory computer readable storage medium storing a computer program for performing the method is also provided.

Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection system in streaming networks. The method includes receiving, by a processor, a plurality of vertices and edges from a streaming graph. The method also includes generating, by the processor, graph codes for the plurality of vertices and edges. The method additionally includes determining, by the processor, edge codes in real-time responsive to the graph codes. The method further includes identifying, by the processor, an anomaly based on a distance between edge codes and all current cluster centers. The method also includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the anomaly.

Abstract: The present disclosure provides a method of processing depth data and image data from a robotic device having a camera and a depth measurement device mounted to a chassis of the robotic device to generate a data set representative of a three-dimensional map of an environment in which the robotic device is located. The camera is arranged to generate image data relating to the environment. The depth measurement device is arranged to generate depth data relating to the environment. The method comprises generating image data and depth data at a first location of the robotic device in the environment, whereby to generate a first data set comprising a plurality of data points. The method further comprises moving the robotic device to at least a second location in the environment. The method further comprises generating image data and depth data at the second location, whereby to generate a second data set comprising a plurality of data points.

Abstract: Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself—rather than using a priori definitions for what should constitute a measurable unit of action—identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.

Abstract: A coffee bean roasting-degree distribution measuring device includes a housing, a micro-processing unit, an image-capturing unit, a light-emitting unit, and a displaying unit. The housing has a first end and a second end opposite the first end with an accommodating space existing between the first end and the second end. The second end is disposed to surround a group of coffee beans under measurement. The micro-processing unit and the image-capturing unit are disposed inside the accommodating space and electrically connected to each other. The light-emitting unit is disposed inside the accommodating space and includes at least one light emitter and a circuit board electrically connected to the light emitter. The circuit board is further electrically connected to the micro-processing unit and each of the light emitter has a light emitting port facing toward the second end.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A system for providing a visual indication of field surface conditions during the performance of an agricultural operation by an agricultural implement includes a user interface, an imaging device provided in operative association with the agricultural implement, and a controller. The imaging device has a field of view directed towards a portion of a surface of a field. The controller is configured to receive image data from the imaging device representing surface features located at the portion of the surface of the field, transmit the image data for display on the user interface, and control the user interface to display at least one digital reference object in association with the image data. The at least one digital reference object provides a visual reference for assessing a characteristic of the surface features displayed on the user interface.

Abstract: In one embodiment, a method executed by a computing system, comprising: receiving pixel samples from three-dimensional (3D) data corresponding to one or more images comprising one or more animals; fitting curves for the received pixel samples; deriving parameters from the curves; determining measurements based on variations in the parameters; and estimating a weight of the one or more animals by applying one or more regression algorithms to the measurements.

Abstract: A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from an image capturing device. The image capturing device is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive video via the input port and identify a subject within frames of the video relative to a background within the frames. Further, the controller may be configured to identify dimensions, posture, hand location, feet location, and/or other parameters of the identified subject in frames of the video and determine when the subject is performing a task. Based on the dimensions and/or other parameters identified or extracted from the video during the predetermined task, the controller may output via the output port assessment information.

Abstract: This disclosure describes a system and a method for determining statistics of plant populations based on overhead optical measurements. The system may include one or more hardware processors configured by machine-readable instructions to receive output signals provided by one or more remote sensing devices mounted to an overhead platform. The output signals may convey information related to one or more images of a land area where crops are grown. The one or more hardware processors may be configured by machine-readable instructions to distinguish vegetation from background clutter; segregate image regions corresponding to the vegetation from image regions corresponding to the background clutter; and determine a plant count per unit area.