System and method for generating an electronic template corresponding to an image of an evidence

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process for generating an electronic template corresponding to an image of an evidence, the process comprising:

• generating an unlabeled template corresponding to the image, the unlabeled template formatted to include a plurality of data elements organized in an array, wherein the generating includes segmenting the image into a plurality of regions of interest (ROIs);
• selecting a first labeled template from a plurality of labeled templates with a second plurality of ROIs and matching with the unlabeled template;
• analyzing each of the plurality ROIs to identify at least a portion of a content within the ROI and a position of each of the plurality of ROIs within the image;
• generating a label for each of the plurality of ROIs corresponding to the analysis, wherein the label is indicative of the at least a portion of the content and the position of the ROI within the image;
• and
• classifying and storing the unlabeled template and the generated label for the evidence based on the matching, wherein the unlabeled template includes the plurality of ROIs and the labels corresponding to each ROI.

A system for generating an electronic template corresponding to an image of an evidence, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• generate an unlabeled template corresponding to the image, the unlabeled template formatted to include a plurality of data elements organized in an array, wherein the generating includes segmenting the image into a first plurality of regions of interest (ROIs);
• select a first labeled template from a plurality of labeled templates with a second plurality of ROIs and matching with the unlabeled template;
• analyze each of the plurality ROIs to identify at least a portion of a content within the ROI and a position of each of the plurality of ROIs within the image;
• generate a label for each of the plurality of ROIs corresponding to the analysis, wherein the label is indicative of the at least a portion of the content and the position of the ROI within the image;
• and
• classifying and storing the for the evidence, wherein the template includes the plurality of ROIs and the labels corresponding to each ROI.