Machine vision is a niche engineering discipline. It requires a solid understanding of imaging technologies in all its forms. This capability needs to be coupled to a broad understanding of the image processing platforms that are available and how they may be applied in different applications.
All of that does not matter unless the complete system can be effectively implemented in a production scenario.
The Indyn story is a process of how these skills have been acquired and implemented.
Indyn started operation in 2008 trading as Industrial Photonics. The machine vision indystry is populated with large comapnies selling "canned" solutions for common problems such as code reading, label position, cap locations etc.
Industrial Photonics quickly developed expertise in developing sophisticated systems that could complete difficult tasks in high speed production environments.
This expertise quickly expanded to include inspection and grading of natural products such as cheese, meat, timber.
In 2012 the company moved its base to Bangkok, Thailand in order to leverage its capabilities in larger production facilities.
In the process the company changed name to Industrial Dynamics (Indyn).
Indyn has developed significant expertise in most imaging formats in both the visible and non visible spectral ranges.
In order to manage these advanced systems, faster software needed to be developed which evantually led to the use of AI and deep learning technologies .
These systems are designed by Indyn engineers and deployed usually with the assistance with local partners in South East Asia.
Over the last three years Indyn has begun to apply this expertise in the area of grain and cereal inspection and grading. Indyn has now opened an office in Australia to specifically handle this project.
After completeing a project in Thailand involving grading of coconuts, Indyn realised that the technologies employed on coconuts could be adapted to grains and cereals.
Grain Trade Australia has been seeking an automated inspection solution for grains for a considerable time.
Indyn's major focus at this point is development of the grains and cereal inspection platform. This platform has been given the project name Platypus.
Initial lab testing of Platypus showed that the demanding requirements in this application were achievable using the basic design philosophy used in other applications such as coconut grading.
Initial demonstrations to Grain Trade Australia were very positive. The Platypus demonstration units are now in beta site testing to assess the system's capability in actual operational conditions.
Platypus represents the future of the company going forward.
Strong expertise in natural products where there are no geometric features.
This requires expertise in niche areas of technology
With fifteen years direct experience in machine vision design, installation and marketing, Rob has been involved in many advanced inspection projects.
Most of this experience has been gained in high speed processing lines in Asia.
Rob now brings a deep understanding of advanced photonics to the Platypus program, along with extensive knowledge and understanding of international marketing skills.
Mike spearheads Indyn's research and application development on various AI tools to handle image processing applications.
Mike has extensive experience in electronics and software engineering working in Australia and Europe. Over the past 30 years Mike has worked at all levels of Microsoft product software development.
More recently Mike has led Indyn's application of various AI tools in agribusiness applications ranging from coconut inspection to various cereals grading.
Over the last eight years, Indyn has operated mostly in South East Asia due, in large part, to the proliferation of high speed manufacturing lines. In this market space, Indyn has developed key skills to undertake the most difficult production line integrations.
With the advent of the Platypus grain system, Indyn now has an operational base in Australia.
To find out more about Indyn and its technologies, just click here.
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