Manufacturing precision receives a significant boost through Edge AI deployment in visual inspection systems. Edge AI deployment refers to the practice of deploying AI models and algorithms on edge devices, or local servers, rather than relying on cloud-based processing. This approach brings AI capabilities to where data is generated, which results in faster and more efficient processing, real-time analysis, and reduced dependence on internet connectivity.
It involves distributing resources and data storage to the network's edge where data originates. Embedded devices, such as smartphones, IoT devices, cameras, and drones, serve as platforms for deploying AI models.
Edge AI bridges the gap between automation and the cloud. Traditionally, data went to the cloud for analytics. Now, with Industrial Edge, you can do this directly at the plant or machine level.