Connectivity - AI+-+Machine+Learning Features

Three layers of predictive maintenance

The key difference between preventive maintenance and predictive maintenance is that the latter means completing maintenance only when needed, as opposed to scheduled intervals. Here, Miron Shtiglitz, VP for Product and Delivery at QualiSense, forecasts a future where data from inspection not only underpins maintenance schedules, but informs the very design of the product itself.

The role of AI within industrial operations

For maintenance and control engineers, AI is not a new concept. Many, especially those more advanced in their digital transformation journeys, have become very familiar with, for example, machine learning (ML) technology that has been helping with predictive and preventive maintenance strategies for some time by analysing large datasets from numerous sources to help make better-informed decisions.

Collaborative robots + AI + machine vision boost agricultural and manufacturing capabilities
- Robotics
- (05/03/2024)
The combination of AI and machine vision is generating more practical applications for collaborative robots (cobots), particularly in modern agricultural and manufacturing scenarios.
Detecting food industry defects reliably with machine vision
- AI - Machine Learning
- (29/02/2024)
Maximum speed and detection rates of preferably 100 percent – these are the requirements for quality control in the packaging industry.

Tintri’s 2024 predictions
- AI - Machine Learning
- (02/02/2024)
Tintri, specialist in data management solutions for virtualised workloads, shares its predictions for 2024.
Can artificial intelligence (AI) in robot systems manage the functional safety parts?
- Robotics
- (26/01/2024)
Robots and AI systems have become an integral part of industrial manufacturing sites. To ensure the safety of workers while using robots, a detailed risk assessment is necessary. This assessment is carried out from the perspective of functional safety, which examines the five main elements employed by robots to determine autonomous control actions: environment recognition, action planning, trajectory generation, motion control, and measurement. .

Artificial intelligence in machine control
- AI - Machine Learning
- (26/01/2024)
It’s been a challenging few months for artificial intelligence (AI), as negative press stories about its potential misuse outweighed those advocating its power for good.
Reflecting on the past hype of Industry 4.0
- AI - Machine Learning
- (17/01/2024)
When the German government published its policy paper on Industry 4.0 in 2013, there was a sense of excitement about the future at COPA-DATA as terms such as IIoT and Smart Factory were being hotly debated. In this article, Stefan Reuther of COPA-DATA reflects on the past hype surrounding Industry 4.0 and asks, ‘where could it all lead next?’. .