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For products in the consumer, parts, food & beverage, and print & packaging markets, a significant portion of the manufacturing process still relies on manual tasks performed by human operators.
Since the beginning of modern industrial robots in the early 1980s, robots have been guided by machine vision. Originally there were only a few robots with vision, but today it is over 5,000 robots annually in the North American market and significantly more globally.
By applying DL with a Data-Centric Approach, Users Can Streamline Even the Most Challenging Manufacturing Steps with Fast, Accurate Automated Inspection.
A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech.
Digital transformation has become a buzzword for markets with high-value manufactured products and highly regulated industries. But what is it about digital transformation that draws attention? Is it only digitizing all paper-based processes, or are people hungry for more?
When it comes to inspection, humans do a pretty good job. We rely on our senses to detect differences, and if something changes, we’re adaptable and can make a quick decision on our own. We’re also easy to train and learn by example.
Pleora Technologies introduced new production-ready and customizable performance advances for its AI solution to help manufacturers improve frontline processes and collect inspection data for analytics.
On Demand From Netflix to Amazon, artificial intelligence continues to proliferate and impact our everyday lives. Its impact has also grown increasingly important in manufacturing, as technologies like deep learning allow companies in industries such as automotive, electronics, aerospace, and medical to provide higher ease of use, greater reliability, to overcome more production variations, and provide a low-code, intuitive user interface for configuration.
On Demand Some of the most pressing demands facing the life sciences industry continue to be disruptive. These may come in the form of supply chain disruptions or shortages, or in the form of a recall. In this webinar, you will learn the industry trends driving life sciences quality professionals to modernize their perspectives and practices.