Abstract: A method, system and apparatus to position an organic polarized object to a predetermined orientation and a predetermined location are provided. In an embodiment, an image of the organic polarized object is captured through an image capture device. The image of the organic polarized object is converted to an image data set. This image data set if further converted to a dimension data set. A first location and a first orientation of the organic polarized object are determined through a processor. A pressure is applied to secure organic polarized object. The organic polarized object is secured through a robotic end effector and may be moved to a predetermined location and a predetermined orientation. The organic polarized object is adjusted to the predetermined orientation. The organic polarized object is positioned at a predetermined location. The predetermined location and predetermined orientation may be selected by a user.

Abstract: In one embodiment, a method includes capturing an image of a first organic polarized object using an image capture device. The method also includes collecting a first image data of the first organic polarized object. The method further includes algorithmically calculating a first dimension data based on the first image data. The method further includes generating a first data table of the first dimension data. The method also includes forming a training data set using the first data table. The method also includes computing high vote count data for second organic polarized object using the training data and second dimension data sets to identify precise shape, size, location and orientation. The method further includes calibrating coordinate systems of a robotic end effector with an image capture device and commanding the robotic end effector to pick up and place the second organic polarized object in a precise location and orientation.

Abstract: A method, system and apparatus to position an organic polarized object to a predetermined orientation and a predetermined location are provided. In an embodiment, an image of the organic polarized object is captured through an image capture device. The image of the organic polarized object is converted to an image data set. This image data set if further converted to a dimension data set. A first location and a first orientation of the organic polarized object are determined through a processor. A pressure is applied to secure organic polarized object. The organic polarized object is secured through a robotic end effector and may be moved to a predetermined location and a predetermined orientation. The organic polarized object is adjusted to the predetermined orientation. The organic polarized object is positioned at a predetermined location. The predetermined location and predetermined orientation may be selected by a user.

Abstract: A method and apparatus for organizing multiple organic polarized objects are provided. In some embodiments, an organic polarized object is spread on a conveyor belt when the organic polarized object is transported from organic polarized object storage. An inventory control system is updated when a count of organic polarized object is communicated. The apparatus includes an image processor to identify the size, shape, location and orientation of organic polarized objects and to communicate this information to a robotic end effector. The organic polarized object is automatically filled in slot of a tray or stuck onto pins through a robotic end effector. The tray may be covered with a basket and flipped. The apparatus includes a calibration module to align the coordinate systems of an image capture device and a robotic end effector. The apparatus also includes organic polarized object sorter machine, basket flipping machine and a nutrient filling machine.

Abstract: In one embodiment, a method includes capturing an image of a first organic polarized object using an image capture device. The method also includes collecting a first image data of the first organic polarized object. The method further includes algorithmically calculating a first dimension data based on the first image data. The method further includes generating a first data table of the first dimension data. The method also includes forming a training data set using the first data table. The method also includes computing high vote count data for second organic polarized object using the training data and second dimension data sets to identify precise shape, size, location and orientation. The method further includes calibrating coordinate systems of a robotic end effector with an image capture device and commanding the robotic end effector to pick up and place the second organic polarized object in a precise location and orientation.