Submitted by admin on Thu, 08/18/2022 - 15:13

Lack of quality control on manufacturing lines

Sequence Number 5 Industry Manufacturing Banner Lack of quality control on manufacturing lines How 5G enabled

Automated quality control employing machine learning with sensors collecting data and alerting during abnormal production for improvement purposes.

Data Flows
Title Devices Icon Devices Description
  • Sensors to be added to monitor quality-related data
  • Type of sensors driven by type of man: cameras (various); specs to monitor; etc.
Title Connectivity Icon Connectivity Description
  • Equipment sensor data transport
  • Energy availability data (e.g., steam, solar, wind, etc.)
Title Edge Compute Icon Edge Compute Description
  • It is expected that the majority will be real time-based, so direct intervention is possible
  • Defective products to be separated in real-time
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • Equipment data stored to train AI algorithms
  • Storage is Enterprise-owned
Title Applications & Services Icon Applications & Services Description
  • AI (ML/MV) applied to detect goods anomalies in various forms and provide insights on quality control
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Alert-based notification of quality anomalies
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Install relevant sensors with focus on real-time intervention since that has the best financial impact.
  • Make a list of the quality aspects in order of importance then decide what sensors are needed.
  • With 5G, the amount of bandwidth needed is not a constraint. Therefore, take this into account when selecting sensors.
  • Cameras should have 720P image quality.
Description
  • SME and data scientists are required and will work as a team.
  • It is expected that Edge will be the prime home for AI in this case.
  • Ensuring that all data always goes to the Enterprise store.
Description
  • Develop the AI (ML/MV) models highly interactively to get quickly to the right quality level for this job.
  • Link to industry quality standards when developing these models.
Expected benefits Key value created