Abstract: A method and a system for detecting rough handling. The system has a camera and a computing device. The computing device is configured to: receive a video stream captured by the camera; detect persons and packages from video frames of the video stream; construct person and package trajectories based on the detected persons and packages; recognize an action between one person trajectory and one package trajectory, where the action includes the one person picks up, holds, and drops off the one package; and determine existence of a rough handling when, within a predetermined frames after drop-off of the one package, a motion distance of the one package is greater than a threshold distance, and a motion speed of the one package is greater than a threshold speed.

Abstract: A method and a system for detecting rough handling. The system has a camera and a computing device. The computing device is configured to: receive a video stream captured by the camera; detect persons and packages from video frames of the video stream; construct person and package trajectories based on the detected persons and packages; recognize an action between one person trajectory and one package trajectory, where the action includes the one person picks up, holds, and drops off the one package; and determine existence of a rough handling when, within a predetermined frames after drop-off of the one package, a motion distance of the one package is greater than a threshold distance, and a motion speed of the one package is greater than a threshold speed.

Abstract: A system and a method for object detection using augmented training dataset. The system includes a computing device, which is configured to: provide a two-dimensional (2D) image, extract feature vectors and estimate depths of 2D image pixels, generate a point cloud using the feature vectors and the depths, and project the point cloud using a new camera pose to obtain a projected image. The 2D image has a bounding box enclosing an object and labeled with the object. Each pixel within the bounding box is named bounding box pixel, each point in the point cloud corresponding to the bounding box pixel is named bounding box point, each image pixel in the projected image corresponding to the bounding box point is named projected bounding box pixel, and a projected bounding box is defined using the projected bounding box pixels and labeled with the object.

Abstract: A method for providing real-time feedback and semantic-rich guidance on ultrasound image quality is performed by a processor in an ultrasound system. The method includes receiving an ultrasound image and classifying the ultrasound image into one or more categories based on image features. The classifying creates a classified image. The method also includes determining whether the classified image provides an acceptable representation of a target organ. In response to determining that the classified image does not provide an acceptable representation of the target organ, the method includes selecting operator guidance corresponding to the one or more category; presenting via a display and/or audible sound, the selected operator guidance; and receiving additional ultrasound images. The method further includes calculating a result based on the classified image in response to determining that the classified image provides an acceptable representation of the target organ.

Abstract: A bladder monitoring system includes a scanning system and a wearable bladder monitoring device (or patch). The scanning system obtains scan data that shows a bladder in a patient and identifies, based on the scan data, a placement location on the patient for the wearable bladder monitoring device. The scanning system indicates the placement location to a user; and identifies customization settings for one or more sensors of the wearable bladder monitoring device to enable the one or more sensors to detect extents of the bladder when the wearable bladder monitoring device is attached at the placement location.

Abstract: A method and a system for counting pigs in a pig house. The system includes a computing device and an imaging device. The computing device has a processor and a storage device storing computer executable code. The computer executable code is configured to: receive images captured from one end to the other end of the house; detect keypoints in the images using a neural network; identify pig skeletons by associating several related keypoints; track the skeletons in the images to obtain trajectories; divide each image into an activated zone and a deactivated zone; designate a spatial value of 0 for the skeletons in the activated zone and a spatial value of 1 for the skeletons in the deactivated zone; summating first order difference of the spatial values for each trajectory to obtain a trajectory count; and add the trajectory counts to obtain pig count.

Abstract: A method and a system for counting pigs in a pig house. The system includes a computing device and an imaging device. The computing device has a processor and a storage device storing computer executable code. The computer executable code is configured to: receive images captured from one end to the other end of the house; detect keypoints in the images using a neural network; identify pig skeletons by associating several related keypoints; track the skeletons in the images to obtain trajectories; divide each image into an activated zone and a deactivated zone; designate a spatial value of 0 for the skeletons in the activated zone and a spatial value of 1 for the skeletons in the deactivated zone; summating first order difference of the spatial values for each trajectory to obtain a trajectory count; and add the trajectory counts to obtain pig count.

Abstract: A system includes at least one wearable device configured to monitor a bladder volume of a user associated with the at least one wearable device, monitor moisture associated with the user, and transmit information regarding the bladder volume and moisture. The system also includes a display device configured to receive the information regarding the bladder volume and moisture from the at least one wearable device, and display information to the user based on the received information.

Abstract: A method and an apparatus of screening samples, and a method and an apparatus of searching for service object data are provided. The method of screening samples includes setting up a plurality of screening layers; selecting training samples needed by a current screening layer in the plurality of screening layers; extracting target sample features suitable for the current screening layer from the training samples; determining a screening quantity suitable for the current screening layer using the target sample features; and screening target samples based on the target sample features and the screening quantity. The embodiments of the present disclosure can adaptively adjust respective screening quantities of various screening layers, and can maximally optimize resources, thus balancing effects and performance.

Abstract: A bladder monitoring system includes a scanning system and a wearable bladder monitoring device (or patch). The scanning system obtains scan data that shows a bladder in a patient and identifies, based on the scan data, a placement location on the patient for the wearable bladder monitoring device. The scanning system indicates the placement location to a user; and identifies customization settings for one or more sensors of the wearable bladder monitoring device to enable the one or more sensors to detect extents of the bladder when the wearable bladder monitoring device is attached at the placement location.

Abstract: A system includes at least one wearable device configured to monitor a bladder volume of a user associated with the at least one wearable device, monitor moisture associated with the user, and transmit information regarding the bladder volume and moisture. The system also includes a display device configured to receive the information regarding the bladder volume and moisture from the at least one wearable device, and display information to the user based on the received information.

Abstract: A method for providing real-time feedback and semantic-rich guidance on ultrasound image quality is performed by a processor in an ultrasound system. The method includes receiving an ultrasound image and classifying the ultrasound image into one or more categories based on image features. The classifying creates a classified image. The method also includes determining whether the classified image provides an acceptable representation of a target organ. In response to determining that the classified image does not provide an acceptable representation of the target organ, the method includes selecting operator guidance corresponding to the one or more category; presenting via a display and/or audible sound, the selected operator guidance; and receiving additional ultrasound images. The method further includes calculating a result based on the classified image in response to determining that the classified image provides an acceptable representation of the target organ.

Abstract: Embodiments include systems and or methods directed to ultrasound calibration, real-time C-mode approaches, calibration using a plate target, a ball-and-socket scan mechanism, a spherical spiral path scan mechanism, and a wireless disposable laryngoscope.

Abstract: A method including acquiring a product title and extracting at least one descriptor from the product title; acquiring weight values of users for the at least one descriptor respectively, the weight values being obtained by calculation according to historical behavior data of the users; selecting a reconstruction descriptor from the at least one descriptor according to the weight values; and generating a reconstructed title of the product title by using the reconstruction descriptor. By using the example embodiments of the present disclosure, personalized reconstructed titles are customized for different users, thus improving the efficiency of finding preferred products by the users through searching.

Abstract: A method and an apparatus of screening samples, and a method and an apparatus of searching for service object data are provided. The method of screening samples includes setting up a plurality of screening layers; selecting training samples needed by a current screening layer in the plurality of screening layers; extracting target sample features suitable for the current screening layer from the training samples; determining a screening quantity suitable for the current screening layer using the target sample features; and screening target samples based on the target sample features and the screening quantity. The embodiments of the present disclosure can adaptively adjust respective screening quantities of various screening layers, and can maximally optimize resources, thus balancing effects and performance.

Abstract: Embodiments include systems and or methods directed to ultrasound calibration, real-time C-mode approaches, calibration using a plate target, a ball-and-socket scan mechanism, a spherical spiral path scan mechanism, and a wireless disposable laryngoscope.

Abstract: A medical device is configured to diagnose whether a nodule of a bodily organ is malignant or benign using ultrasound elastography to determine a nodule stiffness index. Using either an external compression source or an in vivo pulsation source, the stiffness of the nodule of the bodily organ can be quantified by either its static properties or dynamic properties. The nodule can be classified as Type I, which is benign requiring further observation, or Type II, which is malignant requiring invasive procedures.

Abstract: A medical device is configured to diagnose whether a nodule of a bodily organ is malignant or benign using ultrasound elastography to determine a nodule stiffness index. Using either an external compression source or an in vivo pulsation source, the stiffness of the nodule of the bodily organ can be quantified by either its static properties or dynamic properties. The nodule can be classified as Type I, which is benign requiring further observation, or Type II, which is malignant requiring invasive procedures.