A cloud-based operator interface system is provided that runs as a cloud service on a cloud platform The cloud-based operator interface system collects industrial data from one or more industrial systems via respective cloud gateway devices A set of predefined operator interface screens are stored on cloud storage associated with the operator interface system, and delivered to authorized Internet-capable client devices upon request The industrial data received from the cloud gateways can be delivered to the client devices from the cloud platform via the operator interface screens Additional cloud-side services can correlate and analyzes the industrial data on the cloud platform to facilitate additional reporting, alarming, and notification features

Cloud-based operator interface for industrial automation

A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. The service employs a performance enhancement component that analyzes the data to facilitate determining correlations between certain user interactions and favorable performance of an industrial automation system, determining user interactions that are less favorable or unsafe, determining alternative actions that a user can take to achieve a same or similar preferred operational result, generating recommendations relating to the alternative actions, determining or designing components or techniques that can automate a preferred user action, determining improved user assignments in connection with the industrial automation system, and/or generating training modules or presentations based on preferred user actions that can be used to train users to more efficiently interact with an industrial automation system to achieve improved system performance.

Using cloud-based data for industrial automation system training

A method is provided for evaluating a possible pallet object in a gray scale image including one or more pallets. The method may comprise: generating, by a computer, a first confidence score ScoreLowerLeftCorner for a lower left corner associated with the possible pallet object; generating, by the computer, a second confidence score ScoreLowerRightCorner for a lower right corner associated with the possible pallet object; generating, by the computer, a third confidence score ScoreBaseboardLine for a bottom pallet board line associated with the possible pallet object; generating, by the computer, a fourth confidence score Scorehole for a center stringer associated with the possible pallet object; and calculating, by the computer, a composite score ScoreObject based on the first, second, third and fourth confidence scores.

Generating a composite score for a possible pallet in an image scene

The present teachings provide a method of controlling a remote vehicle having an end effector and an image sensing device. The method includes obtaining an image of an object with the image sensing device, determining a ray from a focal point of the image to the object based on the obtained image, positioning the end effector of the remote vehicle to align with the determined ray, and moving the end effector along the determined ray to approach the object.

Auto-reach method for a remote vehicle

Systems and methods are provided for controlling industrial equipment in the performance of various industrial activities based on the detected body movement of a user in an industrial automation environment The method includes employing a time-of-flight sensor to detect movement of a body part of the user, ascertaining whether or not the movement of the body part conforms to a recognized movement of the body part, interpreting the recognized movement of the body part as a performable action, and thereafter actuating industrial machinery to perform the performable action

Time of Flight (TOF) Human Machine Interface (HMI)

Provided is an industrial robot system which enables a reduction in an installation/adjustment period, and an increase in a no-error continuous operation period, and includes an action planning section (4) for temporary halts, an error-inducing-task restraining section (5), a section (6) for teaching task, an operation mastering section (7), a hand library (8), an optimum-task-operation generating section (11), a specific task library (9), an error-recovery-task teaching section (12), an error recovery library (10), a finger-eye-camera measurement section (32), a three-dimensional recognition section (33), a controller (30), a manipulator (31), and a universal hand contained in a manipulation device group (34)

Industrial robot system

An industrial robot system may enable a reduction in an installation/adjustment period, and an increase in a no-error continuous operation period. The system includes an action planning section for temporary halts, an error-inducing-task restraining section, a section for teaching task, an operation mastering section, a hand library, an optimum-task-operation generating section, a specific task library, an error-recovery-task teaching section, an error recovery library, a finger-eye-camera measurement section including an omnidirectional mirror, a three-dimensional recognition section, a controller, a manipulator, and a hand with a plurality of fingers.

Yasuyoshi Yokokouji

Papers

Industrial robot system

Industrial robot system including action planning circuitry for temporary halts