A machine vision industrial automation company, focused on enhancing textile industry quality control through AI technology, faced challenges in updating software and machine learning models on its globally distributed, Linux-based IoT devices. These challenges were exacerbated by the remote nature of the devices, unreliable network connections, and the need for precise defect detection in fabric production. JFrog Connect provided a solution by offering a platform to efficiently update, track, and control these devices, even in areas with limited connectivity. The JFrog Connect Agent, installed on each device, allows for monitoring and managing device resources and includes rollback capabilities to revert updates if network disruptions occur. This system provides a centralized dashboard for fleet-wide visibility into device update processes, thereby ensuring reliable and automated software updates across their global fleet. The adoption of JFrog Connect has enabled the company to maintain high standards of product quality and operational efficiency, ensuring that their devices run the latest software versions and AI models.