Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: Machine learning systems and methods for image splicing detection and localization are provided. The system receives an image (e.g., a still digital image, an image frame from a video file, etc.) and divides the image into a set of patches using a patch partitioning algorithm. The system then processes the patches a point set in a high-dimensional feature space, and extracts features from the patches. The system then performs deep learning on the point sets by performing image-level manipulation classification and localization.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: Computer vision systems and methods for hazard detection from digital images and videos are provided. The system obtains media content indicative of an asset, preprocesses the media content, and extracts, based at least in part on one or more feature extractors, features from the preprocessed media content. The system determines, based at least in part on one or more classifiers, a value associated with a hazard, which can indicate the likelihood of a media content having the hazard. The system determines that the media content includes the hazard based at least in part on a comparison of the value to a threshold value. The system can generate a visual indication in the image indicative of the hazard.

Abstract: Computer vision systems and methods for segmenting and classifying building components, contents, materials or attributes are provided. The system obtains media content indicative of an asset. The system identifies and segments items of the asset based on one or more segmentation models. The system determines, based on one or more classification models, a value associated with material or other attribute classification for each of the segmented items. The value indicates how likely the segmented item belongs to a particular material or attribute type. The system determines a material or attribute type for each of the segmented items based on a comparison of the confidence value of the material or the attribute to pre-calculated threshold values. The threshold values define a cut-off indicative of a segmented item most likely to be a particular type of material or attribute.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: In brief, the invention relates in particular to a converter (100) comprising a plurality of rectifier arms (110), making it possible in particular to rectify AC electrical signals available on the electrical phases (U, V, W) of an electrical grid. To balance the electrical signals coming from the electrical phases (U, V, W) of the electrical grid, and to limit a modulation amplitude of the DC signal generated by the converter (100) between its output terminals (S1, S2), the converter (100) also comprises a correction arm (120) that determines an amplitude of electric current flowing in a neutral (N) of the electrical grid and that generates an opposing electric current of equal or if not close amplitude. The invention also relates to a two-way charger (10) comprising such a converter (100) and one or more active double bridges (200), such that an output (S3, S4) of the active double bridges (200) is electrically isolated from the converter (100).

Abstract: An electrical power converter unit (2) includes: a first connection interface (10) comprising two leads (12, 14) forming a DC input/output interface for connecting a first electrical device to the power converter unit, a three-phase rectifier power converter circuit (16) and a second connection interface (30) for connecting a second electrical device to the power converter unit. The second connection interface includes a switching unit (46) adapted to switch between:—a DC input/output mode, in which first, second and third arms of the power converter circuit (16) are electrically connected together, forming one DC input/output; and—an AC input/output mode, in which the arms are disconnected from each other, forming separate input/outputs for a three-phase AC voltage.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: A maintenance control panel connected to an elevator control system controls displacement movements of an elevator car through actuation of activation, downward direction button and upward direction buttons. Each button has an actuation element displaceable in an actuation direction to change from an unactuated to an actuated actuation state when displaced beyond an actuation position and outputs an actuation signal representing the actuation state. At least one of the buttons has a position sensor detecting a current position of the actuation element and outputs a position signal representing the detected position. The elevator control system responds to the position signal to control a power supply to a drive motor and thus a displacement speed of the car. A maintenance technician can control the displacement speed intuitively, depending on how hard the button with the position sensor is pressed, to avoid an abrupt start or braking of the car.

Abstract: A dispensing station comprises beneficial products for patients of a health care provider. An inventory database tracks inventory available in the dispensing station. A patient is associated with a prescription record, which specifies a prescribed beneficial product. The patient may provide patient identifying information to the dispensing station, such as credentialed payment information, which may be used to identify a prescription record, authenticate the patient, transfer a payment, and/or dispense the prescribed beneficial product to the patient. The prescription record may be valid for a limited time period, may be restricted to fulfillment within a particular location, and/or may be restricted to one or more specified dispensing stations. The dispensing station may validate the beneficial products before dispensing the products to the patient.

Abstract: An assembling jig for an optical-fiber connector includes two sleeve halves inter-connectible to form a sleeve body. Each of the sleeve halves includes a front half section, a rear half section extending rearwardly and longitudinally from the front half section, an abutment face extending longitudinally from the front half section to the rear half section, a strain relief sleeve holding groove opens at a front end face of the front half section and a cable passage groove opening at a rear end face of the rear half section. When the abutment faces abut with each other, the strain relief sleeve holding grooves cooperatively form a strain relief sleeve holding hole, and the cable passage grooves cooperatively form a cable passage hole.

Abstract: An AC/DC converter including: an H bridge; an inductance in series with an input of the bridge; an inductance in series with an output of the bridge; and a circuit capable of controlling the bridge alternately to a first configuration where first and second diagonals of the bridge are respectively conductive and non-conductive, and to a second complementary configuration, the circuit being capable, during a phase of transition between the first and second configurations, of: turning on a first switch of the second diagonal; turning off a first switch of the first diagonal when the current flowing through this switch takes a zero value; turning on the second switch of the second diagonal; and turning off the second switch of the first diagonal when the current flowing through this switch takes a zero value.

Abstract: A fiber optic distribution box includes a box body and detachable mounting caps to mount fiber optic connectors to the box body. The box body has a box terminal wall formed with through holes. The detachable mounting caps are disposed on the through holes and connected detachably to the box terminal wall. Each detachable mounting cap has a hollow cap body, and a mount hole formed inside the hollow cap body. The hollow cap body includes a cap bottom surface lying on the box terminal wall, and a front inclined cap surface inclined with respect to the box terminal wall. The mount hole extends through the front inclined cap surface and the cap bottom surface to communicate with a cable reception space of the box body through the respective through hole.

Abstract: A detachable mounting cap includes a hollow cap body and a mount hole formed inside the hollow cap body. The hollow cap body is configured to detachably connect a box body of a fiber optic distribution box, and includes a cap bottom surface configured to lie on the box body, and a front inclined cap surface inclinedly extending upward from the cap bottom surface and configured to be inclined with respect to the box body. The mount hole extends through the front inclined cap surface and the cap bottom surface, and is configured to communicate with a through hole of the box body and to detachably mount the fiber optic connector.

Abstract: A fiber optic adaptor assembly, to be inserted into a metal faceplate of a fiber distribution hub, includes a main body, a connector holder and a conductive ring member. The connector holder is removably inserted into an installation hole of the main body. The conductive ring member is removably sleeved around an outer periphery of the main body. The conductive ring member electrically contacts and cooperates with the metal faceplate to provide a shielding effect against electromagnetic interferences when the main body is inserted into the faceplate.

Abstract: An optical fiber distribution box includes a base, a seat, an input tube and output tubes. The seat includes a standing wall, two protruding ribs and two holes. The standing wall is disposed behind and connected to the base and has a positioning hole formed therethrough along a front-to-rear direction. The protruding ribs rearwardly extend from the standing wall, are opposite along a left-to-right direction, and respectively formed with two through holes for extension of a binding belt. The holes extend through the standing wall and respectively through the protruding ribs and flank the positioning hole.

Abstract: An AC/DC conversion circuit, including: four bidirectional switches forming an H bridge; a capacitor connected between input nodes of the bridge; a capacitor connected between output nodes of the bridge; and a control circuit capable of controlling the bridge alternately to a first configuration where first and second diagonals of the bridge are respectively conductive and non-conductive, and to a second configuration where the first and second diagonals are respectively non-conductive and conductive, the control circuit being capable, during a phase of transition between the first and second configurations, of: turning off the switches of the first diagonal; and for each switch of the second diagonal, turning on the switch only when the voltage thereacross takes a zero value.

Abstract: A dispensing station comprises beneficial products for patients of a health care provider. An inventory database tracks inventory available in the dispensing station. A patient is associated with a prescription record, which specifies a prescribed beneficial product. The patient may provide patient identifying information to the dispensing station, such as credentialed payment information, which may be used to identify a prescription record, authenticate the patient, transfer a payment, and/or dispense the prescribed beneficial product to the patient. The prescription record may be valid for a limited time period, may be restricted to fulfillment within a particular location, and/or may be restricted to one or more specified dispensing stations. The dispensing station may validate the beneficial products before dispensing the products to the patient.