The method and device to ensure a safety of people's life and health is based on measurements of spontaneous electromagnetic radiation caused by a deformation from a structure or device, a nucleation and growth of plant cells and living organisms; calculating an energy stored in a portion of the structure or cells based on a measured intensity; performing a comparison of the energy stored with a critical value for the structure and pathological changes in the cells; and indicate a potential failure of the structure or a level of pathological changes based on the performed comparison.

A video content analysis system for mobile assets that includes track detection and infrastructure monitoring component. The track detection and infrastructure monitoring includes a reinforcement learning component, an object detection and location component, and an obstruction detection component to analyze video data, audio data, vehicle data, weather data, and route/manifest data to determine internal and/or external conditions relating to an the asset. A data acquisition and recording system uploads the data, internal and/or external condition information, object detection information, object location information, and obstruction detection information to a remote memory module and provides streaming video data in real-time to a remotely located user. Remotely located users can view the data in various view modes through a web browser or virtual reality device, which provides for quicker emergency response, validates the effectiveness of repairs and rerouting, and monitors crew performance and safety.

A method for outputting a trigger signal for an acoustic warning signal of a rail vehicle, includes reading in a piece of signal information detected by an image sensor of the rail vehicle, comparing the piece of signal information to at least one stored piece of reference signal information to classify the piece of signal information as a warning sign requiring an output of an acoustic warning signal, and providing a trigger signal to an output unit of the rail vehicle for outputting an acoustic warning signal.

Example implementations relate to receiving vibration notifications from vibration sensors. In example implementations, a subset of a plurality of vibration sensors from which vibration notifications are expected may be identified based on a position of a train along a track. The plurality of vibration sensors may be arranged in a predetermined order on the track. Whether vibration notifications have not been received from consecutive, with respect to the predetermined order, vibration sensors in the subset may be determined.

Novel tools and techniques for monitoring railway track geometry. In one aspect, some such tools and techniques can determine a location of a platform along a railway, capture one or more images of the railway, and/or analyze the rail configuration at that point. In another aspect, some solutions might employ photogrammetric techniques to analyze the rail configuration and thereafter store data about the rail configuration, perhaps correlated with the location of the images, in a data store.

A system (e.g., an off-board camera system) includes a camera and a communication device. The camera is configured to be disposed on an off-board device remotely located from a non-aerial vehicle as the non-aerial vehicle moves along a route. The camera is configured to generate image data representative of an upcoming segment of the route relative to a direction of travel of the non-aerial vehicle. The communication device is configured to be disposed on the off-board device and to wirelessly communicate the image data to the non-aerial vehicle during movement of the non-aerial vehicle along the route.

A system (e.g., an off-board camera system) includes a camera and a communication device. The camera is configured to be disposed on an off-board device remotely located from a non-aerial vehicle as the non-aerial vehicle moves along a route. The camera is configured to generate image data representative of an upcoming segment of the route relative to a direction of travel of the non-aerial vehicle. The communication device is configured to be disposed on the off-board device and to wirelessly communicate the image data to the non-aerial vehicle during movement of the non-aerial vehicle along the route.

A method and apparatus to detect breaks in tracks and/or detect the presence of a vehicle, which can include for example a train, in a monitored section of the track or rail. Embodiments of the present invention measure the change in amplitude and/or phase angles. Electrical shunts are connected between the rails at spaced-apart intervals. At least two different frequencies of alternating current are generated and fed into the segments of rail (for example at or near a mid-point between the shunts). If a rail break occurs, the total inductance of the rail at that segment will change. Using two or more frequencies allows a rail break to be differentiated from environmental rail-to-rail and rail-to-earth leakage.

A device for detecting railway equipment defects, comprising at least three diagnostic modules mounted on a generic railway vehicle: a first module (geometrical module) configured to measure at least a geometrical feature of the track; a second module (acceleration module) configured to measure in at least a point of said vehicle the side and/or vertical accelerations transmitted from the track to said vehicle; a third module (visual module) configured to acquire the images of the track elements and to analyze them to verify the presence of anomalies;
said modules being configured to associate with each detection carried out when the railway vehicle passes, on which they are mounted, the position where the detection was carried out and to calculate, for each detection, a severity index representative of the deviation of the detection with respect to the standard condition without defects.

A device for detecting railway equipment defects, comprising at least three diagnostic modules mounted on a generic railway vehicle: a first module (geometrical module) configured to measure at least a geometrical feature of the track; a second module (acceleration module) configured to measure in at least a point of said vehicle the side and/or vertical accelerations transmitted from the track to said vehicle; a third module (visual module) configured to acquire the images of the track elements and to analyze them to verify the presence of anomalies;
said modules being configured to associate with each detection carried out when the railway vehicle passes, on which they are mounted, the position where the detection was carried out and to calculate, for each detection, a severity index representative of the deviation of the detection with respect to the standard condition without defects.