On the fly identification and defect sortation.

Challenge: Development of a vision-based system capable of visually identifying and sorting defective or non-conforming products on a production line.

Objective: Create an intelligent system that combines computer vision and cognitive abilities to detect and categorize various types of defects in real-time by analysing data from multiple sources, such as cameras and sensors and make accurate decisions regarding the quality of each product.

Challenge 12

R&D

Maintenance by means of visual inspection and cognitive loops.

Challenge: To create a system that can analyse visual data from sensors, cameras, or other sources to detect early signs of equipment or machinery failure. This is an open challenge with multiple possibilities of execution and paths of development.

Objective: Monitoring of processes in real-time, generating machine health reports as well as taking operator input into consideration to improve and modify current processes.

Objective: Highlight defects and faults that occur on a line and inform the machine operator of the issue, this data can be then used for training the system to detect and prevent future machine failures.

• High level feedback.

• VCMG publishes full list of projects on website which stays open for feedback for 1 week vcmg@dmireland.org

• Interested organisations invited to join – with MoU.

• VCMG Steering finalises challenge list and launches challenges

• Specific Challenge charter is developed.

• Standard Initial Challenge steps

• Clarify / Define Challenge.

• Assess ‘As Is’

• Finalise Charter

• Define Project plans.

• Assign work packages

• Time bound delivery.

• Monthly readout to all VCMG members.

• Quarterly webinar on challenge highlights.

• Q1 2024 – 1st significant milestones presented to VCMG members.