PSYCH 221 – Applied Vision and Imaging Systems

Class Project

 

High Speed Document Sensing

Georgios Georgiadis

Lily Huang

Guillaume Leseur

Nicolas Meunier

Supervised by: Peter Catrysse

 

Introduction and methods:

         The goal of this project is to study the possibility of real time misprint detections on high speed digital printers. With the development of these new high speed digital printers, a single misprint may have important consequences and lead to reprinting thousands of pages. This may be costly in time as well as in money, and that’s why we are studying the possibility of automatically detecting in real time these misprints to be able to react directly and solve the problem.

So in this problem we have:

- A file that we want to print and.

- The actual result of the printer.

And we need:

-         A sensor to have an image of the printed result.

-         A model of the printer to know from the file which image to expect.

-         A model of the sensor to know the theoretical output of the sensor to compare the actual output with.

-         An algorithm comparing these two results and deciding whether there is a misprint or not.

 

We can summarize that in this schema:

                                     model.JPG

So far we have implemented the printer model to convert a pdf file to map of reflectance in MATLAB, as well as the model of the sensor that we set up in ISET. We have also studied what is the theoretical precision of the sensor in distinguishing patches of different cmyk values and its spatial resolution.  

hp_indigo_7000_background.jpg

Measurements

Sensor modeling

Discrimination Results

Spatial resolution