A fault location system in a cable transport installation comprises a safety unit (10) and an end module (13) connected by an electrical safety line (11). The safety line (11) comprises a plurality of cable fault contacts (14) of the normally-closed type connected in series. The location system includes a plurality of location modules (20) distributed along the transport installation, each of which comprising a first test contact (21), of the normally-open type, for short-circuiting the safety line (11). Once a fault coming from one of the cable fault contacts (14) is detected, each location module (20) is capable of selectively closing its first test contact (21) so as to be able to locate said faulty contact (14) on the safety line.

An aerial ropeway hazard sensing system including a radar sensing unit mounted at a position along a ropeway that generates radar data representative of predetermined ropeway conditions proximate the radar sensing unit, and a processor that analyzes data from the radar sensing unit to detect predetermined hazard conditions and to generate a hazard detection signal indicative thereof. A method of performing an aerial ropeway safety function comprises using radar to detect a hazard condition and generating a hazard detection signal in response thereto; generating a control signal in response to the hazard detection signal; and initiating a safety with the control signal.

A device of a roller assembly or a trolley for a cable transportation system, the device comprising: a frame having two facing walls, which are provided with two respective first holes having a first axis in common; a pin that engages the first holes; a body mounted rotatably about the pin between the two facing walls of the frame, the body having a hole, which has a second axis and enables the passage of the pin; and an auxiliary constraining device that is selectively releasable configured to keep the axes of the first holes of the frame and of the hole of the body coincident even in the absence of the pin.

Method (200) for controlling an installation for transporting vehicles by at least one continuously moving cable, the method comprising a step of determining at least one oscillation (201) of at least one cable and/or one of the vehicles as a function of at least one parameter chosen from an average tension of the cable, an average speed of the cable, a distance between two successive vehicles, and an average mass carried by the vehicles, a step of generating a database (202) which connects a value of the oscillation to a combination of the average tension of the cable, the average speed of the cable, the distance between two successive vehicles, and the average mass carried by the vehicles, and a step of reducing the oscillation (203) by varying any of the parameters.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Device for supporting and guiding a hauling cable of a vehicle transportation installation by cable, including a sheave configured for supporting and guiding the hauling cable, a first girder provided with a main axis, a second girder supporting the sheave and mounted pivotally movable around the main axis, at least one recovery element mounted on the first girder, and at least one cooperating element mounted on the second girder at a distance from said at least one recovery element in a normal operating state where the second girder swivels around the main axis, and configured to be in contact with said at least one recovery element in an abnormal operating state corresponding to failure of the main axis.