Can Equipment-Agnostic Solution Unlock Benefits of Legacy Machine Vision Hardware?
In many plants you will find cameras, lighting and other hardware that was once part of a visual inspection system but is no longer fit for purpose. Do you have to rip it up and build from scratch? In this article, Zohar Kantor, vice president of sales at visual inspection software company Lean AI explains why an equipment-agnostic software technology could can breath new life into your existing machine vision hardware.
It is estimated that between 2017 and 2020, approximately 270,000 machine vision systems were installed around the world. How many of these are still performing as they were intended to? It is impossible to know the exact figure, but this is a field where technology is moving very quickly. Solutions that were promised to be cutting-edge just a couple of years ago quickly become unsuitable.
A common issue is the lack of interoperability between different hardware components, or between hardware and software. Some software solutions are vendor-specific, requiring the purchase of new cameras and other sensors to get the best out of the latest artificial intelligence solutions. Users face the problem that economists refer to as ‘sunk costs.’ You have already invested considerable money in your machine vision equipment, so do you really want to rip it out and start again?
Retrofit and Rejuvenate
Quality managers and plant managers are unfortunately not fully aware that there is an alternative solution in retrofitting. If a software solution is equipment-agnostic, meaning it is designed to operate with hardware from different vendors rather than being exclusive to one, you can bring new capacity to old investments.
If your existing image acquisition equipment is perfectly okay in terms of image quality and illumination, then the software was the problem. Why not leverage existing hardware by finding a software solution that will work in tandem with it? We are currently putting this theory into practice with a leading powder metal company in Canada. Lean AI’s artificial intelligence algorithms are designed to work with any hardware, so we can make use of cameras and computer hardware already in the plant, removing the need for the customer to rip this out and start again. Retrofitting in this way saves time, money and risk.
If only a small fraction of the 270,000 machine vision systems installed between 2017 and 2020 are no longer performing the tasks they were intended to then there is a huge opportunity to retrofit an equipment-agnostic software technology to breathe new life into your existing hardware. This is a problem in any industry where technological progress is flourishing, but with Lean AI’s software, you may not need to replace your hardware as soon as you think.
For more information: www.lean-ai-tech.com