Method for accurate object tracking with color camera in multi planar scanners

A barcode reader assembly for accurate object tracking, the barcode reader assembly comprising:

• a housing;
• a first optical imaging assembly positioned at least partially within the housing, the first optical imaging assembly having a first field of view (FOV) and configured to capture a first plurality of images;
• a second optical imaging assembly having a second FOV and configured to capture a second plurality of images;
• and
• a controller communicatively coupled to the first optical imaging assembly and the second optical imaging assembly, the controller being configured to:
• detect a decode of an indicia associated with an object of interest, the decode being based on image data from at least one first image of the first plurality of images;
• based on the decode of the indicia, determine a location of the object of interest within the at least one first image of the first plurality of images,
• identify a timestamp of the at least one first image of the first plurality of images;
• identify a corresponding at least one second image of the second plurality of images based on the timestamp of the at least one first image of the first plurality of images;
• and
• filter image data associated with the at least one second image based on the location of the object of interest within the at least one first image of the first plurality of images.

A system for accurate object tracking, the system comprising:

• a first optical imaging assembly having a first field of view (FOV) and configured to capture a first image over the first FOV;
• a second optical imaging assembly having a second FOV and configured to capture a second image over the second FOV;
• and
• a controller configured to:
• receive the first image and the second image,
• based on a decode of an indicia associated with an object of interest, identify the object of interest within the first image,
• determine a location of the object of interest within the first image, and
• map the location of the object of interest within the first image to a predicted location of the object of interest within a second image.