Introduction

I am Fransiscus Herry. I wrote and developed Image2Punch for the first time in March 2005 when I was working as CNC/CAD programmer and operator for a sheetmetal company in Auckland – New Zealand.

I was inspired to write and develop the basic concept of Image2Punch because we could not buy similar-purposed software in the market for the Amada Vipros Turret Punch CNC machine.

Objective

The main goals of Image2Punch are to give customers great service and useful products that should be easy and intuitive to design and to generate pattern perforation.

In addition, I am greatly hoping that Image2Punch can bring a new dimension in designing perforated sheet metal for many real-world applications.

The current development is in 8th Generation of Image2Punch. Up to this version, a new pattern type called Honeycomb Pattern has been developed and will be continuously improved.

These newest version of Image2Punch is released in July 2023 where a significant development to accommodate a greater quantity for perforated pattern holes will be possible. In doing so, I have redesigned/redeveloped the coding structures and upgraded few core programming libraries.

Although I am solely responsible for this entrepreneurship, I also receive help from a group of professional attorney, few contractors and freelancers to maintain and run all aspects of the business. My current motto is “Be Honest, Be Profitable and Have Fun in Programming !”.

Feedback

If you have any questions or comments about Image2Punch, I would love to hear from you. If you need technical support or just need a question answered you will get the response straight from the creator, me.

I  also would love to hear how the pattern perforation generated by Image2Punch is applied in your business.

Fransiscus A. Herry

Development History

In 2005

In March 2005, I started creating the basic algorithm after seeing an image based perforated panel illustration from a commercial brochure in New Zealand. Then I develop a simple algorithm to process the image’s pixel into a number.

In 2006

In October 2006, I decided to re-develop Image2Punch and put all my efforts so that it might become professional software for creating perforated pattern designs to be used in many industries including architecture, sheet metal fabrication or even in fashion design.

In 2007

After several months, I created a one-man-band company called Aucad Drafting Limited in July 2007 as a business structure to licence Image2Punch worldwide. And in this year, i created and develop the website and start building many information regarding the use of Image2Punch.

In 2011

In March 2011, I and my wife moved into Victoria – Australia and close my own company, Aucad Drafting Limited. However, I still continue to run this software business and trade under my own name in Australia (Sole Trader). Up to this year, i have been actively developing and maintaining Image2Punch and introduced many new features as requested by current customers and users.

In 2015

In March 2015, Image2Punch has been commercially used in more than 36 Countries worldwide and the latest update was version 5.3.0. In this 5th generation of Image2Punch, i also introduced non uniform perforated pattern. Instead of a classical perforated pattern which based on similar distance grids, this new pattern will not be based on grid structure, but it will be based on random placement.

Present Time (2023)

In the present time, Image2Punch is already in 8th Generation of development and the 8th first released is in July 2023.  These recent developments are focused on creating more robust and reliable software so the user can generate even larger pattern with more holes. I also introduced a new pattern cluster type to add more variation into the existing pattern type. This new pattern type is a Honeycomb pattern family.

Future

As for the future major development in Image2Punch Pro version 8.0.0 and  from this point onward, I will put more research and development to improve the CAD library in Image2Punch so it can do some  object recognition for automatic trimming between shapes and border lines as well as shape collision recognition.