Introduction
Blackstone Intelligence Sarawak's engagement with JunCore covers AI system development. JunCore works in industrial machine vision, helping precision manufacturers inspect parts for visual defects.
Its public applications include semiconductor O-rings and diamond dicing blades.
Challenges
Inspection requirements vary with the material, geometry and defects being examined. Small surface imperfections, translucent parts and densely packed grains create different challenges for visual analysis.
A useful AI system needs clear acceptance criteria and representative examples from the intended production environment.
Solution
The project centres on AI system development within this manufacturing context. JunCore's published approach connects image capture, defect-specific models and on-site evaluation against agreed requirements.
Its website illustrates grain delineation and defect detection, giving prospective partners a concrete view of the application area. The linked site provides further technical context for the project.
Impact
This engagement adds an industrial inspection application to Blackstone's AI development portfolio. It demonstrates the importance of connecting AI work to a defined operational task and a reviewable output.
The website screenshot presents JunCore's public-facing information. Internal production data and project-specific performance figures are outside this showcase.
