On April 10th, our Pilot 3 Open Webinar explored a set of hardware and software solutions designed to efficiently run AI algorithms on both edge devices and fog servers. The target scenario focused on high-speed packaging machines, where automation transforms raw materials into desired packages while minimizing human intervention.
The seminar was thoughtfully structured around four fundamental themes:
- Introducing a Novel Hardware Architecture for On-Edge AI Algorithms: This session introduced an innovative hardware architecture specifically designed to support the execution of AI algorithms directly on edge devices.
- Establishing a Robust Data Transmission System in the Fog Environment and Facilitating Concurrent Data Access: This session illustrated how to create a reliable system for transmitting data within fog environments, enabling multiple processes to access data concurrently.
- Enhancing Machine Health Status Monitoring: This theme dived into AI algorithms developed to automatically monitor the health status of your packaging machines, promoting preventative maintenance and improved uptime.
- Enhancing Product Quality Control Processes: This session deep dived into AI algorithms designed to elevate your current product quality control procedures, ensuring consistent and exceptional product quality.
Stay tuned for further updates on the IMOCO4.E project!
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