Machine vision and robotic installation systems and methods

An automated machine vision method for determining if an object within a work field has one or more predetermined features, the automated machine vision method comprising:

• capturing image data of the work field from a camera system;
• following the capturing the image data, binary thresholding the image data based on a presumed feature of the one or more predetermined features, wherein the presumed feature comprises a thread pitch;
• responsive to the binary thresholding, identifying one or more groups of pixels as candidates for the thread pitch;
• following the identifying, applying a filter to the identified one or more groups of pixels to create filtered data, wherein the filter comprises an aspect corresponding to the thread pitch;
• and
• based at least in part on the applying, determining if the object has the thread pitch.

A machine vision system for determining if an object within a work field has one or more predetermined features, the machine vision system comprising:

• a camera system configured to capture image data of the work field;
• and
• a controller communicatively coupled to the camera system to receive the image data from the camera system, wherein the controller comprises non-transitory computer readable media having computer-readable instructions that, when executed, cause the controller to:
• binary threshold the image data based on a presumed feature of the one or more predetermined features, wherein the presumed feature comprises a thread pitch;
• responsive to binary thresholding the image data, identify one or more groups of pixels as candidates for the thread pitch;
• following the identification of the one or more groups of pixels, apply a filter to the identified one or more groups of pixels to create filtered data, wherein the filter comprises an aspect corresponding to the thread pitch;
• and
• based at least in part on application of the filter, determine if the object has the thread pitch.