Maximum speed and detection rates of preferably 100 percent – these are the requirements for quality control in the packaging industry. INNDEO shows how these high requirements can be achieved with a sophisticated automation solution, based on machine vision and deep learning technologies.
Machine vision for parts inspection is a technology beset with misinformation. As recently as five years ago, the only way to teach a machine vision system what a good product looked like was to laboriously show it every possible fault, mark and annotate the errors and catalogue them.
There’s nothing worse than opening a new toy at Christmas to find that it’s broken. Thankfully for manufacturers (and Santa’s elves), machine vision can help to reduce the number of heartbroken children on Christmas morning.
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? Here, Zohar Kantor, Vice President of Sales at Lean AI, explains why an equipment-agnostic software technology can breathe new life into your existing machine vision hardware.
As labour shortages continue to bite, food processors are backing AI-powered vision systems to automate the last remaining manual operations on packaging and production lines.
Artificial Intelligence (AI) has arrived in the fresh produce industry and the results are astounding: waste associated with inaccurate trimming of vegetables is being slashed to zero and flawless product presentation is now a reality.