Abstract: A system and methods for performing focus tuning of an imaging system. The method includes an image sensor capturing a first image of a focus triggering marker. A processor identifies the focus triggering marker in the first image and responsive to identifying the focus triggering marker the system enters a configuration mode and provides a time delay. After passage of the time delay, the system executes a focusing operation to focus the imaging assembly including determining a focus value based on one or more images captured in the configuration and after the time delay. A controller sets a focal distance of a tunable optical element according to the determined focus value. The imaging sensor then captures one or more images with the focal distance of the tunable optical element set to the determined focus value.

Abstract: Methods and systems for facilitating selection of tools for one or more machine vision jobs are disclosed herein. An example method may be performed by one or more processors and includes displaying, via a display screen, an interactive graphical user interface (GUI) of an application, the application configured to generate job scripts for imaging devices to execute and the application operating in a job construction mode. The method also includes displaying an image within the GUI and detecting a selection of a portion of the image. The method further includes analyzing the portion of the image to determine a corresponding tool for processing the portion of the image and adding the corresponding tool to a job flow of the machine vision job.

Abstract: A system and methods for performing focus tuning of an imaging system. The method includes an image sensor capturing a first image of a focus triggering marker. A processor identifies the focus triggering marker in the first image and responsive to identifying the focus triggering marker the system enters a configuration mode and provides a time delay. After passage of the time delay, the system executes a focusing operation to focus the imaging assembly including determining a focus value based on one or more images captured in the configuration and after the time delay. A controller sets a focal distance of a tunable optical element according to the determined focus value. The imaging sensor then captures one or more images with the focal distance of the tunable optical element set to the determined focus value.

Abstract: Systems and methods for automatic identification and presentation of edges, shapes and unique objects in an image used for machine vision job setup are disclosed herein. An example method includes receiving, by one or more processors, an image file. The method further includes automatically determining, by the one or more processors, an item of interest within the image file. The method further includes analyzing, by the one or more processors, the item of interest to determine an appropriate tool for processing the item of interest. The method further includes displaying, by the one or more processors, on a display screen: (i) an image corresponding to the image file, (ii) an indication of the item of interest, and (iii) an indication of the appropriate tool.

Abstract: Methods and systems for facilitating selection of tools for one or more machine vision jobs are disclosed herein. An example method may be performed by one or more processors and includes displaying, via a display screen, an interactive graphical user interface (GUI) of an application, the application configured to generate job scripts for imaging devices to execute and the application operating in a job construction mode. The method also includes displaying an image within the GUI and detecting a selection of a portion of the image. The method further includes analyzing the portion of the image to determine a corresponding tool for processing the portion of the image and adding the corresponding tool to a job flow of the machine vision job.

Abstract: Systems and methods for automatic identification and presentation of edges, shapes and unique objects in an image used for machine vision job setup are disclosed herein. An example method includes receiving, by one or more processors, an image file. The method further includes automatically determining, by the one or more processors, an item of interest within the image file. The method further includes analyzing, by the one or more processors, the item of interest to determine an appropriate tool for processing the item of interest. The method further includes displaying, by the one or more processors, on a display screen: (i) an image corresponding to the image file, (ii) an indication of the item of interest, and (iii) an indication of the appropriate tool.

Abstract: Methods and systems for facilitating selection of tools for one or more machine vision jobs are disclosed herein. An example method may be performed by one or more processors and includes displaying, via a display screen, an interactive graphical user interface (GUI) of an application, the application configured to generate job scripts for imaging devices to execute and the application operating in a job construction mode. The method also includes displaying an image within the GUI and detecting a selection of a portion of the image. The method further includes analyzing the portion of the image to determine a corresponding tool for processing the portion of the image and displaying, within the interactive GUI, a user-selectable option to add the corresponding tool to a machine vision job.

Abstract: A method, system and barcode reader for transmitting barcode scan information from a barcode reader to an external imaging system including one or more image capturing devices when the barcode reader is within a field of view of the external imaging system. Responsive to successfully decoding an indicia, the barcode reader transmits, to the external imaging system via an optical signal assembly, a first optical signal based at least in part on the indicia. Responsive to detecting an object within a product scanning region of the barcode reader and no successful decode of an indicia, the barcode reader transmits, to the external imaging system via the optical signal assembly, a second optical signal indicating the object being passed within the product scanning region with no successful decode.

Abstract: Systems and methods for automatic identification and presentation of edges, shapes and unique objects in an image used for machine vision job setup are disclosed herein. An example method includes receiving, by one or more processors, an image file. The method further includes automatically determining, by the one or more processors, an item of interest within the image file. The method further includes analyzing, by the one or more processors, the item of interest to determine an appropriate tool for processing the item of interest. The method further includes displaying, by the one or more processors, on a display screen: (i) an image corresponding to the image file, (ii) an indication of the item of interest, and (iii) an indication of the appropriate tool.

Abstract: Systems and methods for automatic identification and presentation of edges, shapes and unique objects in an image used for machine vision job setup are disclosed herein. An example method includes receiving, by one or more processors, an image file. The method further includes automatically determining, by the one or more processors, an item of interest within the image file. The method further includes analyzing, by the one or more processors, the item of interest to determine an appropriate tool for processing the item of interest. The method further includes displaying, by the one or more processors, on a display screen: (i) an image corresponding to the image file, (ii) an indication of the item of interest, and (iii) an indication of the appropriate tool.

Abstract: Systems and methods for automatic identification and presentation of edges, shapes and unique objects in an image used for machine vision job setup are disclosed herein. An example method includes receiving, by one or more processors, an image file. The method further includes automatically determining, by the one or more processors, an item of interest within the image file. The method further includes analyzing, by the one or more processors, the item of interest to determine an appropriate tool for processing the item of interest. The method further includes displaying, by the one or more processors, on a display screen: (i) an image corresponding to the image file, (ii) an indication of the item of interest, and (iii) an indication of the appropriate tool.

Abstract: Systems and methods for automatic identification and presentation of edges, shapes and unique objects in an image used for machine vision job setup are disclosed herein. An example method includes receiving, by one or more processors, an image file. The method further includes automatically determining, by the one or more processors, an item of interest within the image file. The method further includes analyzing, by the one or more processors, the item of interest to determine an appropriate tool for processing the item of interest. The method further includes displaying, by the one or more processors, on a display screen: (i) an image corresponding to the image file, (ii) an indication of the item of interest, and (iii) an indication of the appropriate tool.

Abstract: Methods and systems for facilitating selection of tools for one or more machine vision jobs are disclosed herein. An example method may be performed by one or more processors and includes displaying, via a display screen, an interactive graphical user interface (GUI) of an application, the application configured to generate job scripts for imaging devices to execute and the application operating in a job construction mode. The method also includes displaying an image within the GUI and detecting a selection of a portion of the image. The method further includes analyzing the portion of the image to determine a corresponding tool for processing the portion of the image and displaying, within the interactive GUI, a user-selectable option to add the corresponding tool to a machine vision job.

Abstract: Methods and systems for performing contextual configuration of an imaging scanner are disclosed. An example method includes an imaging scanner capturing an image of an object and providing the image to a trained neural network for classification. Configuration settings corresponding to the particular classification are determined, where those configuration settings are for operating the imaging scanner and are contextual to the object being scanned. The imaging scanner is configured based on the configuration settings, and the object is re-scanned under optimal configuration, for improved barcode reading or defect detection for machine vision systems.

Abstract: A method, system and barcode reader for transmitting barcode scan information from a barcode reader to an external imaging system including one or more image capturing devices when the barcode reader is within a field of view of the external imaging system. Responsive to successfully decoding an indicia, the barcode reader transmits, to the external imaging system via an optical signal assembly, a first optical signal based at least in part on the indicia. Responsive to detecting an object within a product scanning region of the barcode reader and no successful decode of an indicia, the barcode reader transmits, to the external imaging system via the optical signal assembly, a second optical signal indicating the object being passed within the product scanning region with no successful decode.

Abstract: A system includes a mobile unit (“MU”) including a display; and a peripheral device, in communication with the MU, transmitting a directional input signal to the MU. The MU adjusts the display based on the directional input signal.

Abstract: Described is a method which includes a step of initiating a calibration state of a battery status system. The calibration state including charging a battery to a first threshold value; discharging the battery to a second threshold value; and calibrating the battery status system based on the first and second threshold values. Subsequently, the method includes a step of exiting the calibration state. Described is also a portable computing device which includes invades a battery; a controller; and an application executed on the controller for performing calibration of a battery status system of the battery. The application drives the battery to a threshold state and performs the calibration when the battery reaches the threshold state.

Abstract: Described is a system and device for monitoring a computing device. The system comprises a mobile host computing device and a portable peripheral device detachably coupled to the host device. The peripheral device includes a microprocessor and a sensor. When the peripheral device is coupled to the host device, the sensors detect changes of at least one of spatial orientation and motion of the host device to generate data. The microprocessor compares the data to predetermined calibration data to detect an occurrence of an event.

Abstract: Described is a method which includes a step of initiating a calibration state of a battery status system. The calibration state including charging a battery to a first threshold value; discharging the battery to a second threshold value; and calibrating the battery status system based on the first and second threshold values. Subsequently, the method includes a step of exiting the calibration state. Described is also a portable computing device which includes invades a battery; a controller; and an application executed on the controller for performing calibration of a battery status system of the battery. The application drives the battery to a threshold state and performs the calibration when the battery reaches the threshold state.

Abstract: Systems and methods are provided that facilitate configuration of a keypad by end users of the portable host device, via employing a mapping component that can map individual keys of the keypad to characters and/or functions predefined by a user (e.g., defined for the host unit via a proprietary application/software). The reconfigurable keypad of the present invention can provide for a one touch access to special characters and/or performance of predetermined functions designated by the user, and thus facilitates performances of customized functions that can be unique to the end users.