Factories are deploying AI on production lines manufacturing executives say they aimed to implement AI in their production.

A number of sensors attached to equipment listen out for signs of hardware problems as well as the sounds made by worn out machines that threaten to halt production lines.

Using artificial intelligence (AI), PepsiCo has deployed these sensors across its factories following a successful trial in the US.

A number of companies are exploring how artificial intelligence can increase factory efficiency, reduce waste, and speed up the delivery of products to consumers.

Factories are deploying AI on production lines in manufacturing. It will play a key role at all stages of the manufacturing process, from design to delivery.

Manufacturers already use its capabilities to predict and prepare for disruptions thanks to its ability to process and analyze huge volumes of data.

The loss of one minute of production can cost companies thousands of pounds, while increased delays can result in missing out on consumer demand during critical periods like the holiday season.

On factory floors, tools that check and analyse processes in real time, warn of problems ahead, and rely on historical data to recommend fixes are becoming common.

With the help of audio data, PepsiCo’s sensors are able to detect faults such as wear on conveyor belts and bearings, while also analyzing machine vibrations.

“We have analyzed and monitored over 300 million hours of machines, and we can use all this information to create algorithms that can pinpoint specific patterns of malfunctions,” says Augury’s Saar Yoskovitz.

Additionally, the technology can also identify when a machine might fail again in the future, allowing workers to schedule maintenance in advance, and avoid having to react to machine failures as they occur.