Abstract: A computer-based method for automatically evaluating validity and extent of at least one damaged object from image data, comprising: (a) receiving image data comprising one or more images of at least one damaged object; (b) processing said one or more images using an image alteration detection algorithm to detect fraudulent manipulation of said one or more images by classifying at least one attribute of said one or more images; (c) removing any image comprising fraudulent manipulation from said one or more images; (d) processing said one or more images using at least one machine learning algorithm to identify at least one of: a damaged object in any one of said one or more images a damaged area of said damaged object, and an extent of damage of said at least one damaged area; and (e) generating a predictive analysis to repair and/or replace said at least one damaged object.

Abstract: A computer-based method for automatically evaluating validity and extent of at least one damaged object from image data, comprising: (a) receiving image data comprising one or more images of at least one damaged object; (b) processing said one or more images using an image alteration detection algorithm to detect fraudulent manipulation of said one or more images by classifying at least one attribute of said one or more images; (c) removing any image comprising fraudulent manipulation from said one or more images; (d) processing said one or more images using at least one machine learning algorithm to identify at least one of: a damaged object in any one of said one or more images a damaged area of said damaged object, and an extent of damage of said at least one damaged area; and (e) generating a predictive analysis to repair and/or replace said at least one damaged object.

Abstract: The present invention provides a computer-based method for automatically evaluating validity and extent of at least one damaged object from image data, comprising the steps of: (a) receive image data comprising one or more images of at least one damaged object; (b) inspect any one of said one or more images for existing image alteration utilising an image alteration detection algorithm, and remove any image comprising image alterations from said one or more images; (c) identify and classify said at least one damaged object in any one of said one or more images, utilising at least one first machine learning algorithm; (d) detect at least one damaged area of said classified damaged object, utilising at least one second machine learning algorithm; (e) classify, quantitatively and/or qualitatively, an extent of damage of said at least one damaged area, utilising at least one third machine learning algorithm, and characteristic information of said damaged object and/or an undamaged object that is at least equivale

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: 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: Apparatus for installing communication and power cables in tunnels includes a base member adapted for longitudinal transport through a tunnel on a railroad flatbed that rotatably supports a cable supply reel. A cable guide arm is connected at one end with the base member for pivotal displacement about a horizontal pivot axis parallel with the base member longitudinal axis, and a cable guide pulley is connected with the other end of the guide arm for guiding a cable supplied by the reel to a desired point of installation on the tunnel wall. A length-adjusting arrangement adjusts the length of the guide arm to correspond with the width of the tunnel, and an angle-adjusting arrangement adjusts the angle of the guide arm relative to the horizontal surface of the base member. The base member is mounted on a sled for lateral displacement transversely of the flatbed.

Abstract: Apparatus for installing communication and power cables in tunnels includes a base member adapted for longitudinal transport through a tunnel on a railroad flatbed that rotatably supports a cable supply reel. A cable guide arm is connected at one end with the base member for pivotal displacement about a horizontal pivot axis parallel with the base member longitudinal axis, and a cable guide pulley is connected with the other end of the guide arm for guiding a cable supplied by the reel to a desired point of installation on the tunnel wall. A length-adjusting arrangement adjusts the length of the guide arm to correspond with the width of the tunnel, and an angle-adjusting arrangement adjusts the angle of the guide arm relative to the horizontal surface of the base member. The base member is mounted on a sled for lateral displacement transversely of the flatbed.

Abstract: An extendable railcar work platform includes one or more work platform sections each including a set of wheels, a locking mechanism associated with each wheel and a guide system. The system enables workers to safely work above an electrified third rail such as in a subway or railway tunnel. The platform may be in a first retracted position for transit or in a laterally extended or vertically extended position to enable a worker to access and work on a tunnel wall. The platform may be extended to both sides of the railcar and, if the platform includes more than one section, the individual sections may be simultaneously extended to opposite sides of the railcar. Each work platform section includes a floor or base and safety rails around all four sides of the section.

Abstract: A system and method for monitoring a communications network having a plurality of wired communication cables is characterized by a central computer and a plurality of remote sensors connected with the cables at spaced locations for sampling data at the locations and providing an indication when a fault occurs. The central computer transmits measurement request signals to each remote sensor. In response to a request, the remote sensor samples data on the network at the unit location and sends a measurement of the sample to the central computer where the measurement is compared with baseline measurements for the location. If the measured data from the unit deviates from the baseline measurement, a fault is indicated.

Abstract: An extendable railcar work platform includes one or more work platform sections each including a set of wheels, a locking mechanism associated with each wheel and a guide system. The system enables workers to safely work above an electrified third rail such as in a subway or railway tunnel. The platform may be in a first retracted position for transit or in a laterally extended or vertically extended position to enable a worker to access and work on a tunnel wall. The platform may be extended to both sides of the railcar and, if the platform includes more than one section, the individual sections may be simultaneously extended to opposite sides of the railcar. Each work platform section includes a floor or base and safety rails around all four sides of the section.