Did we celebrate autonomous quality inspection too soon?
In many industries, advocates of AI and autonomous technology are quick to promise sweeping transformation and fully autonomous solutions. However, the optimists usually promise more than they can...
View ArticleDo quality managers really want fully autonomous visual inspection?
For the public to fully accept driverless vehicles, they will need to be one hundred times safer than ordinary cars. Is scepticism toward autonomous solutions unique to cars? Here, Zohar Kantor...
View ArticleThree eras of machine learning – A new paradigm
Simple rule-based algorithms have been used in the visual inspection market for many years, but as their limits have become more apparent, the need for more sophisticated software has grown. Here,...
View ArticleWhy the conventional deep learning model is broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line. Here, Karina Odinaev explains why the...
View ArticleDon’t waste your unused 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?...
View ArticleAugmented intelligence in machine vision
Augmented intelligence and artificial intelligence are both concepts that are often used interchangeably. However, the difference between the two has important implications for our understanding and...
View ArticleQualiSense signs five-year deal with global manufacturing leader, Johnson...
Company deploys Augmented AI technology for quality assurance
View ArticleThe best of both worlds with augmented AI
Quality inspection pioneer’s new app makes image sorting 80 times faster
View ArticleQualiSense secures a major deal with Johnson Electric
This strategic partnership is set to drive the production of millions of magnets daily, ensuring quality assurance for leading automotive OEMs
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