The impact of real-time data-based automation on industries is becoming increasingly apparent. None are due for greater disruption than manufacturing businesses.
Sometimes harsh, these manufacturing environments in recent years have seen dramatic sensor price drops and that, in turn, has opened the gates to real-time data primed for analytics. With a growing need for real-time situational awareness and insights, artificial intelligence (AI) architectures are becoming increasingly important to make sense of the acquired information.
Now, manufacturers of all sizes collect computer vision-based data at every stage of the production process. Vision sensing may be the leader in the push forward. However, pressure, heat, location and other sensors create data streams that are digitized and stored in vast quantities. As a result, manual analysis is no longer feasible for single lines, much less entire factories or networks of factories.
In short, the manufacturing sector is undergoing steady evolution, and the production line is going online with dramatic effect on processes, operations and efficiencies.