A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

An apparatus, system and method for regulating fluid flow are disclosed. The apparatus includes a flow rate sensor and a valve. The flow rate sensor uses images to estimate flow through a drip chamber and then controls the valve based on the estimated flow rate. The valve comprises a rigid housing disposed around the tube in which fluid flow is being controlled. Increasing the pressure in the housing controls the size of the lumen within the tube by deforming the tube, therefore controlling flow through the tube.

An apparatus, system and method for regulating fluid flow are disclosed. The apparatus includes a flow rate sensor and a valve. The flow rate sensor uses images to estimate flow through a drip chamber and then controls the valve based on the estimated flow rate. The valve comprises a rigid housing disposed around the tube in which fluid flow is being controlled. Increasing the pressure in the housing controls the size of the lumen within the tube by deforming the tube, therefore controlling flow through the tube.

Systems and methods for providing a packaging instruction are disclosed. Sensor data of an item to be packaged is captured. The item is identified based on one or more detectable features. The item is determined to be associated with a plurality of item-specific characteristics that require different packaging materials. A plurality of user interface elements comprising the plurality of the item-specific characteristics is presented. A selection of one of the plurality of item-specific characteristics is received. An alternative packaging instruction associated with the received selection of the one of the plurality of item-specific characteristics is presented.

Systems and methods for providing a packaging instruction are disclosed. Sensor data of an item to be packaged is captured. The item is identified based on one or more detectable features. The item is determined to be associated with a plurality of item-specific characteristics that require different packaging materials. A plurality of user interface elements comprising the plurality of the item-specific characteristics is presented. A selection of one of the plurality of item-specific characteristics is received. An alternative packaging instruction associated with the received selection of the one of the plurality of item-specific characteristics is presented.

Embodiments include controlling a processor to perform operations, the operations comprising accessing a digitized image of a region of tissue (ROT) demonstrating cancerous pathology; extracting a set of radiomic features from the digitized image, where the set of radiomic features are positively correlated with programmed death-ligand 1 (PD-L1) expression; providing the set of radiomic features to a machine learning classifier; receiving, from the machine learning classifier, a probability that the region of tissue will experience cancer recurrence, where the machine learning classifier computes the probability based, at least in part, on the set of radiomic features; generating a classification of the region of tissue as likely to experience recurrence or non-recurrence based, at least in part, on the probability; and displaying the classification and at least one of the probability, the set of radiomic features, or the digitized image.

Provided is an image recognition method. The method includes determining subject decoded features of a to-be-detected image and an original interaction decoded feature of a subject interactive relationship in the to-be-detected image; determining subject decoded features associated with the original interaction decoded feature, and updating the original interaction decoded feature by using the associated subject decoded features so as to obtain a new interaction decoded feature; and according to the subject decoded features of the to-be-detected image and the new interaction decoded feature, determining at least two subjects to which the subject interactive relationship in the to-be-detected belongs.

Provided is an image recognition method. The method includes determining subject decoded features of a to-be-detected image and an original interaction decoded feature of a subject interactive relationship in the to-be-detected image; determining subject decoded features associated with the original interaction decoded feature, and updating the original interaction decoded feature by using the associated subject decoded features so as to obtain a new interaction decoded feature; and according to the subject decoded features of the to-be-detected image and the new interaction decoded feature, determining at least two subjects to which the subject interactive relationship in the to-be-detected belongs.

A system 100 and computerized method for real time videographic digital and production ready art 118 having a computer capable of: retrieving video files and photographic files from storage 114; automatically selecting patterns or prints, deriving patterns or prints from the files; extracting complementary and/or similar patterns and/or prints as videographic digital and production ready art 118 from files; applying the extracted patterns, prints or both patterns and prints to real world products; and creating targeted still images from the production ready art 118 for commercial use and licensing.

A system 100 and computerized method for real time videographic digital and production ready art 118 having a computer capable of: retrieving video files and photographic files from storage 114; automatically selecting patterns or prints, deriving patterns or prints from the files; extracting complementary and/or similar patterns and/or prints as videographic digital and production ready art 118 from files; applying the extracted patterns, prints or both patterns and prints to real world products; and creating targeted still images from the production ready art 118 for commercial use and licensing.