Lead In Lead Out (LILO)

Overview

Lead In Lead Out is a mechanism that allows a job to contain additional pages that are output a configurable number of times at the start and end of the job.

PDF File Structure

To use LILO the submitted file must contain 2 extra pages at the start of the job.

The first page is used as the Lead In page

The second page is used as the Lead Out page.

Page 3 onwards is treated as the job to print.

If a PDF file was structured as shown below.

data:image/png;base64,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

Lead In Lead Out operation set to 2 Lead In and 2 Lead Out, would result in the following output:

data:image/png;base64,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

Submitting a LILO Job

Submitting a LILO job can only be done using the Hot Folder.

The .complete file should contain the LiLo dictionary item.

See the section on Hot Folder Submission for more details.

Settings LILO Pages Counts via the Hot Folder

Setting the number of LILO page counts is done when a job is submitted via the Hot Folder.

There are two keys available in the .complete file used during job submission:

  • LiCount

  • LoCount

See the section on Hot Folder Submission for more details.

Setting LILO Page Counts in the SPC UI

Clicking the blue 'Print Settings' icon next to the job reveals a LILO tab for jobs submitted with LILO enabled,

This allows the operator to change the number of Lead In and Lead Out pages.

OPC Interface

The LILO state of a job is reported over the OPC interface.

There are three keys available on the OPC interface:

  • AllJobs//HasLiLoEnabled

  • AllJobs//LeadInCount

  • AllJobs//LeadOutCount

See the SPC OPC documentation for more details.

NOTE:

When using the Lead In Lead Out feature, submitted jobs must always be at least 3 pages long.

NOTE:

It is possible to set the Lead In and Lead Out values to zero, this results in no LILO pages