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Cost efficient high volume image analysis.

Challenge: Image analysis is too costly for high volumes of images. Data storage can be challenging. Image compression without the loss of important data is an ongoing challenge.

Objective: Develop cost efficient methods for analysing high volumes of images to enable process improvement (applying machine learning to vision)

Challenge

Validation of Vision & AI Systems.

Services, Toolkits & Methodologies

R&D

Challenge: Validation and Qualification is not efficient.

Objective: Determine efficient methods for the validation/qualification of vision/AI related systems in conjunction with the regulatory bodies.

Challenge 5

Precision measurement for Micro and Nano parts in 2D and 3D for inspection and assembly.

Challenge: Enhancing the precision of measuring features within the micro and nanometer ranges is crucial across various domains, including vision inspection, measurement, cosmetic defect detection, and guided assembly in both 2D and 3D spaces.

Objective: To deliver an automated vision inspection solution in two and three-dimensional space, employing a vision-guided robotic assembly to assist manual assembly processes for micro and nano components.