Sensors, Inc.

Sensors Integration

David J Kotula

Systems and methods are disclosed for detecting package defects in packages transported on a conveyance. 3D imaging data is gathered for a 3D package having multiple nominally planar faces. The 3D imaging data is classified into different data groups associated with respective nominally planar faces and/or nominally straight edges of the 3D package. For each such face and/or edge, data associated with that face and/or edge is analyzed to create one or more consistency measures as compared to an expected appearance of that face or edge. The package is flagged as potentially defective when one or more of the consistency measures indicates a package defect.

Method and system for inspecting packages for packaging defects

In an illustrative embodiment, a system for identifying products on a production line includes image capturing devices that acquire images of containers moving along a production line at an inspection location. The system also includes a rejection device and a controller that configures the image capturing devices for image acquisition based on properties of the containers, identifies a product associated with each of the containers based on a portion of a product identification code and a portion of additional features detected in the images, and determines whether the identified product matches predetermined properties or characteristics, resulting in a pass result, otherwise a non-pass result occurs. When a non-pass result occurs, the controller outputs a signal to actuate the rejection device that removes the container from the production line.

System and method for performing production line product identification

A system, including: a sensor that monitors containers as the containers move along a production line; a rejection device; a controller communicatively connected to the sensor and the rejection device, wherein the controller is programmed to determine whether a container is associated with a match condition in response to a signal received from the sensor, the match condition reflecting that the container is associated with predetermined properties or characteristics, in response to a match condition, determine a pass result, and otherwise determine a fail result, determine a velocity of the production line, dynamically determine a correction amount for a reject position, track a position of the container on the production line, and in response to the fail result, outputs a signal to actuate the rejection device that removes the container from the production line based on the velocity of the production line, the dynamically determined correction amount, and the position of the container on the production line.

Continuous production line reject system and method

Encoder based speed compensated reject system and method

Some embodiments for a fault detection apparatus may include one or more monitors to detect at least three operating states of a sensor, such as pass, fail, and inoperative so as to enable a manufacturing facility to differentiate between situations in which a container does not have the appropriate machine readable label and situations wherein the sensor is actually inoperative. The fail state may be indicative of an object on a conveyor system not matching a predetermined description, identity or characteristic. The pass state may be indicative of an object on a conveyor system matching the predetermined description, identity or characteristic. The inoperative state may be indicative of a sensor output associated with a malfunction in the sensor itself. The fault detection apparatus may also include a fail-to-safe controller configured to detect these operating states.

Fault detection system with redundant product teach verification

Some embodiments for a fault detection apparatus may include one or more monitors to detect at least three operating states of a sensor, such as pass, fail, and inoperative so as to enable a manufacturing facility to differentiate between situations in which a container does not have the appropriate machine-readable label and situations wherein the sensor is actually inoperative. The fail state may be indicative of an object on a conveyor system not matching a predetermined description, identity or characteristic. The pass state may be indicative of an object on a conveyor system matching the predetermined description, identity or characteristic. The inoperative state may be indicative of a sensor output associated with a malfunction in the sensor itself. The fault detection apparatus may also include a fail-to-safe controller configured to detect these operating states.

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Maple Plain, MN, United States of America

David J Kotula