A method for preventing a collision between a first object and a second object using a camera. The method includes capturing images of the first object and the second object using the camera, accessing a database of point clouds, and identify a first point cloud corresponding to the first object and a second point cloud corresponding to the second object within the database of point clouds, where the first point cloud corresponds to the first object being a person. The method further includes calculating a distance between the first object and the second object and comparing the distance to a threshold. The method further includes generating a notification when the distance is below the threshold.

A method for preventing a collision between a first object and a second object using a camera. The method includes capturing images of the first object and the second object using the camera, accessing a database of point clouds, and identify a first point cloud corresponding to the first object and a second point cloud corresponding to the second object within the database of point clouds, where the first point cloud corresponds to the first object being a person. The method further includes calculating a distance between the first object and the second object and comparing the distance to a threshold. The method further includes generating a notification when the distance is below the threshold.

The train detection system comprises a wireless communication network further comprising train detection modules attached to catenary poles at the entrance and exit of the railyard. Each train detection module is equipped with a plurality of diverse sensors configured to detect trains and other on-track vehicles. The diverse sensors are simultaneously active and work together for detecting an approaching or leaving train. The train detection modules generate train alerts which are transmitted wirelessly over the wireless communication network. Each of the railyard workers wears a personal alert device capable of wirelessly connecting with the train detection modules and receiving the train alerts over the said wireless communication network. The train alert modules are capable of transmitting alerts wirelessly to personal alert devices and other train alert modules. Train alert modules are capable of generating audio visual warnings for any personnel which may not be equipped with personal alert module.

The train detection system comprises a wireless communication network further comprising train detection modules attached to catenary poles at the entrance and exit of the railyard. Each train detection module is equipped with a plurality of diverse sensors configured to detect trains and other on-track vehicles. The diverse sensors are simultaneously active and work together for detecting an approaching or leaving train. The train detection modules generate train alerts which are transmitted wirelessly over the wireless communication network. Each of the railyard workers wears a personal alert device capable of wirelessly connecting with the train detection modules and receiving the train alerts over the said wireless communication network. The train alert modules are capable of transmitting alerts wirelessly to personal alert devices and other train alert modules. Train alert modules are capable of generating audio visual warnings for any personnel which may not be equipped with personal alert module.

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.

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 5, wherein the ship section 5 is monitored by video technology using at least one camera 2, and the camera 2 is designed to provide surveillance in the form of video data. The monitoring device comprises an analysis device 9, said analysis device 9 having an interface 10 for transferring the video data, and the analysis device 9 is designed to detect a moving object in the ship section 5 on the basis of the video data and determine a kinematic variable of the moving object. The analysis device 9 is also designed to determine a scale on the basis of the video data and the kinematic variable in order to determine the extent 8 of the moving object and evaluate the moving object as a man-overboard event on the basis of the extent 8 thereof.

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 5, wherein the ship section 5 is monitored by video technology using at least one camera 2, and the camera 2 is designed to provide surveillance in the form of video data. The monitoring device comprises an analysis device 9, said analysis device 9 having an interface 10 for transferring the video data, and the analysis device 9 is designed to detect a moving object in the ship section 5 on the basis of the video data and determine a kinematic variable of the moving object. The analysis device 9 is also designed to determine a scale on the basis of the video data and the kinematic variable in order to determine the extent 8 of the moving object and evaluate the moving object as a man-overboard event on the basis of the extent 8 thereof.

An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.

An article of clothing includes user-protection circuitry, integrated into the article of clothing. The user-protection circuitry includes condition-detection circuitry, which, in operation, generates one or more indications related to an environment of the article of clothing. The user-protection circuitry also includes broadcast circuitry including at least one pulsing device, and control circuitry. The control circuitry, in operation, activates the broadcast circuitry based on the one or more indications related to the environment of the article of clothing generated by the condition-detection circuitry.