Most businesses want to make decent-quality products at low prices, and Industry 4.0 projects can help us come closer than it has ever been. While being at various levels of developing digital strategies and digitising operations, many within the manufacturing sector recognize the enormous benefits that these projects may provide. Artificial intelligence is one of the most talked-about initiatives (AI).

In the f&b industry, ensuring consistent quality of product is a huge task. Machine learning can help ensure overall product quality while allowing for quicker spot checks via visual examination.

On time image and video recognition technologies can identify and evaluate products, deciding whether or not they pass the quality inspection based on input parameters. For a variety of needs, including as packaging fill levels and label placement, these technologies can establish a pass/fail decision.

Image recognition software is now more widely available than ever before, making deployment simpler. To get started, it usually doesn’t involve a complete overhaul of present operations, a large-scale installation within your business, or a major financial investment.

Predicting faults with machinery operation before they occur has a significant impact on a company’s economy at large.

Utilizing sensors and data from previous performance, it is feasible to predict potential faults and take measures even before equipment breaks. For instance, sensors might be used to track machine vibration and send out alarms when the range changes.

FitMachine and other condition-monitoring solutions have grown popular because they simply connect to the machine and send operational data to the cloud, where it can be evaluated and utilized to monitor equipment health, with an alert triggered if aberrant performance is discovered. Instead of someone reviewing logs, these technologies employ AI to take the guessing out of predicting maintenance issues and give notifications as needed.

Artificial Intelligence can use sensor data and machine experience to forecast when service should be conducted, enabling it to be properly planned to avoid failures and saving money over time.

Most manufacturing devices are already collecting data, but having a way to make sense of it all adds value to operations.

Process enhancements can be achieved by adopting sensors to collect and associate information relevant to the operation, like as temperature or throughput figures. An AI tool’s benefit comes from merging on time data from sensor to abstract facts and advance situational awareness.

Your facility can record performance data that AI technologies can utilize to find patterns with business intelligence systems in place. These technologies enable the capture of a broader business picture, including not only equipment but also energy utilization and production line efficiency. You can also gain a better understanding of product quality measurements and start merging data from other sources, such as customer feedback and supply chain efficiency.