1 minute read
Increase in Deployment capacity - Near Term.
Challenge: Low number of service providers, integrators, and skilled engineers to deploy machine vision technologies at scale.
Objective: Increase the number of service providers, integrators, and qualified engineers to deploy machine vision technologies at scale.
Reduction of false negatives.
Challenge: Categorising the correct number of labelled images to reduce false negatives. Creating enough rejects of final products to label and train models can be costly.
Objective: To create a more accurate and reliable vision inspection system to detect cosmetic defects from Visual standards.
Differentiate between similar coloured/shaped products.
Challenge: To enhance the overall inspection process to improve reliability and repeatiblilty of inspection and material differentiation through enhanced Shape Recognition Algorithms.
Objective: Develop advanced image processing algorithms that can accurately analyze subtle differences in colour, texture, reflectivity, or other material-specific characteristics.
Challenge 9
360 deg component inspection.
R&D
Challenge: In the use of optics for 360 deg imaging to reduce handling and inspection time of components it can be challenging to stitch and/or unwrap the images to create a panoramic effect.
Objective: Develop more sophisticated image stitching/unwrapping algorithms.
