Abstract: A system (1) for examining an object (2) for errors comprises a monitoring device (3), a processing module (5), a capturing device (4) and a recognition module (6). The monitoring device (3) is designed to monitor at least one parameter. A specified range of the parameter defines a context within which a result of a recognition of at least parts of the object (2) is expected. The processing module (5) is designed to prove whether the monitored parameter is within the specified range and in this case to trigger the capturing device (4) which is designed to capture input data associated with the object (2). The recognition module (6) is pre-trained for recognizing the object (2) and to perform the recognition based on the input data. The recognition module (6) is designed to detect an error if a result of the recognition is not corresponding to the expected result.

Abstract: This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

Abstract: In an approach for determining the date of planting of a crop growing in an agricultural field, a processor receives an aerial image of one or more agricultural fields in a pre-determined geographical region. A processor selects a plurality of points from the aerial image. A processor calculates a Vegetation Index of one or more crops growing at the plurality of points selected. A processor compares the Vegetation Index calculated for the one or more crops growing at the plurality of points selected to the Vegetation Index known for a plurality of historical reference signatures. A processor generates an actual signature. A processor cross-correlates the actual signature against the plurality of historical reference signatures to measure a degree of similarity. A processor identifies the one or more crops growing in the one or more agricultural fields in the pre-determined geographical region from the cross-correlation.

Abstract: Provided are a facial recognition method, an electronic device, a computer-readable storage medium, and a facial recognition system. The facial recognition method includes: obtaining a first required comparison value and a second required comparison value based on a facial feature; if the first required comparison value is less than a preset comparison threshold and the second required comparison value is also less than the preset comparison threshold, re-extracting a facial feature, and matching the re-extracted facial feature against a plurality of original images separately to obtain a third required comparison value; and if the third required comparison value is greater than or equal to the preset comparison threshold, determining that the recognition is successful.

Abstract: Systems and methods for visuo-tactile object pose estimation are provided. In one embodiment, a method includes receiving image data about an object and receiving depth data about the object. The method also includes generating a visual estimate of the object based on the image data and the depth data. The method further includes receiving tactile data about the object. The method yet further includes generating a tactile estimate of the object based on the tactile data. The method includes estimating a pose of the object based on the visual estimate and the tactile estimate.

Abstract: A data collection system includes a classification model storing unit, a model delivery unit, a classification result storing unit, an optimum model recommendation unit, and a teacher data recording unit. The model delivery unit delivers a classification model to the user environment. The classification result storing unit classifies each of the classification models on the classification model storing unit using data with a label transmitted from the user environment as an input. The classification result storing unit stores a classification result including at least one of classification correctness or a percentage of correct answers for each input data. The optimum model recommendation unit presents an appropriate classification model for the input data based on the classification result for each of the classification models. The teacher data recording unit records the input data as teacher data or test data of the classification model.

Abstract: Implementations described and claimed herein provide localization systems and methods using surface imaging. In one implementation, a raw image of a target surface is captured using at least one imager. The raw image is encoded into a template using at least one transform. The template specifies a course direction and an intensity gradient at one or more spatial frequencies of a pattern of the target surface. The template is compared to a subset of reference templates selected from a gallery stored in one or more storage media. A location of the target surface is identified when the template matches a reference template in the subset.

Abstract: The device includes a database (8) storing a digital cartography (MAP) of a terrain, an acquisition unit (4) configured to acquire a digital image (IMG) of the terrain, as well as a processing unit (2) configured to receive from the acquisition unit (4) the digital image (IMG) and determine a similarity between the digital cartography (MAP) and the digital image (IMG), so as to deduce a position (POS) of said machine from a result of said similarity.

Abstract: An example apparatus for detecting objects in video frames includes a receiver to receive a plurality of video frames from a video camera. The apparatus also includes a first still image object detector to receive a first frame of the plurality of video frames and calculate localization information and confidence information for each potential object patch in the first frame. The apparatus further includes a second still image object detector to receive an adjacent frame of the plurality of video frames adjacent to the first frame and calculate localization information and confidence information for each potential object patch in the adjacent frame. The apparatus includes a similarity detector trained to detect paired patches between the first frame and the adjacent frame based on a comparison of the detected potential object patches.

Abstract: A method can include determining by photogrammetry, a first volume of a food-product unit and a second volume of a food-product subunit. The food-product subunit can be a separated portion of the food-product unit. The method can further include generating a code for the food-product subunit. The code can include a first identifier for the food-product unit and a second identifier for the food-product subunit. The first identifier can be based, at least in part, on the first volume. The second identifier can be based, at least in part, on the second volume. The method can further include assigning the code to the food-product subunit.

Abstract: Techniques are described herein for providing a system and techniques for remotely administering a practical exam, such as a road test component of a driver's license examination. A platform server receives streaming data captured by one or more audio and video sensors of a monitoring device located in a vehicle during the road test component. The platform server is at a location remote from the vehicle. The platform server identifies, from the streaming data, one or more events associated with an individual inside the vehicle taking the examination. The platform server evaluates each event against one or more rules of the road test component and generates an examination result based on the evaluation.

Abstract: A method, non-transitory computer readable medium, and system that manage agricultural analysis in dynamic environments includes detecting a location of one or more agricultural objects of interest in image data of an environment captured by a sensor device during active navigation of the environment. An orientation and position of the sensor device with respect to the image data is determined. Each of the one or more agricultural objects of interest is analyzed based on the image data, the detected location of the one or more agricultural objects of interest, and the determined orientation and position of the sensor device to determine one or more characteristics about the one or more agricultural objects of interest. At least one action is initiated based on the determined one or more characteristics about the one or more agricultural objects of interest.

Abstract: A server of a crop growth stage determination system includes a processor. The processor inputs first images obtained by image capturing crops in a manner such that crop shapes are extractable. The Processor inputs growth stages each indicating a level of physiological growth of the crops for each of the first images. The processor constructs a learned model by performing deep learning to associate images of the crops and growth stages of the crops based on the input first images and the input growth stage. The processor inputs a second image obtained by image capturing crops a growth stage of which is unknown, in a manner such that crop-shapes are extractable. The processor determines the growth stage for the input second image based on the learned model. The processor outputs the determined growth stage.

Abstract: Disclosed herein is a method for an image analysis server to detect a change to a structure by using a drone. The method for an image analysis server to detect a change to a structure by using a drone includes: receiving images of a specific inspection target structure taken at different time points by a drone; detecting the difference between an image taken at a first time point and an image taken at a second time point based on the received images; and detecting a change to the inspection target structure via the detected difference, and generating a risk signal and then transmitting it to an administrator terminal.

Abstract: Systems and methods of detecting a vortex made by a travelling object is disclosed. Techniques include positioning a media collector to capture a visual media file of the vortex. In some configurations, a graphic recognition algorithm and vortex similarity engine are used to determine whether a visual media file captured by a media collector contains a vortex. In some configurations, a computer may trigger an alert if a travelling object vortex is not expected to be in the visual media file.

Abstract: A facial verification method and apparatus is disclosed. The facial verification method includes detecting a face region in an input image, determining whether the detected face region represents a partial face, in response to a determination that the detected face region represents the partial face, generating a synthesized image by combining image information of the detected face region and reference image information, performing a verification operation with respect to the synthesized image and predetermined first registration information, and indicating whether facial verification of the input image is successful based on a result of the performed verification operation.

Abstract: A system and a method for counting aquatic creatures are provided. The system includes an image capture device and a computer system configured to perform the method. The method includes: using the image capture device to capture images of a flow channel; defining a scan line in the images; performing a binarization process on pixels of the scan line in each of the images; determining aquatic creature range data according to each of the binarized pixel data sets; determining aquatic creature range data sets according to the binarized pixel data sets; determining identification and direction information of aquatic creature corresponding to each of the aquatic creature range data sets according to the aquatic creature range data sets; and determining a number of aquatic creatures passing through the scan line according to the identification and direction information of aquatic creature corresponding to each of the aquatic creature range data sets.

Abstract: Systems and methods for optimizing asset maintenance protocols by predicting vegetation-driven outages are disclosed. An example method includes determining, by one or more processors, a failure probability for each asset in a set of assets within a designated area. The example method further includes defining, by the one or more processors, an asset risk for each asset in the set of assets based on the failure probability, and clustering, by the one or more processors, vegetation within the designated area to determine a predicted vegetation-driven outage. The example method further includes optimizing, by the one or more processors, a set of asset maintenance protocols corresponding to the set of assets based on the asset risk and the predicted vegetation-driven outage.

Abstract: A system and method of organically generating a camera-pose map is disclosed. A target image is obtained of a location deemed suitable for augmenting with a virtual augmentation or graphic. An initial camera-pose map is created having a limited number of calibrated camera-pose images having calculated camera-pose locations and homographies to the target image. Then, during the event, the system automatically obtains current images of the event venue and determines homographies to the nearest calibration camera-pose image in the camera-pose map. The separation in camera-pose space between the current images and the camera-pose images are calculated. If this separation is less than a predetermined threshold, that current image is fully calibrated and added to the camera-pose map, thereby growing the map organically.

Abstract: A neural network system, includes: a processor configured to detect a plurality of object candidates included in a first image, generate metadata corresponding to the plurality of object candidates based on the first image, and set data processing orders of the plurality of object candidates based on the metadata; and at least one resource configured to perform data processing with respect to the plurality of object candidates. The processor is configured to sequentially provide pieces of information related to data processing of the plurality of object candidates to the at least one resource according to the set data processing orders, and the at least one resource is configured to sequentially perform data processing with respect to the plurality of object candidates according to an order in which a piece of information related to data processing of each of the plurality of object candidates is received.