The University of New South Wales (UNSW), an Australia-based research institution, has partnered with BT Imaging to develop a AUD 1.4 million (~$ 0.9 million) AI inspection system. The contactless platform combines luminescence imaging and machine learning to detect solar cell defects without physical testing or damage. It received AUD 400,000 (~$ 260,000) from the TRaCE Lab to Market Fund and AUD 1 million (~$ 650,000) from BT Imaging. According to UNSW, the technology enhances inspection accuracy, reduces testing costs, and improves solar manufacturing quality. Recently, UNSW collaborated with Tindo and Newcastle to evaluate TRaCE-supported TOPCon solar cells under real-world conditions.
UNSW partners with BT Imaging on AI solar cell quality system
Supported by TRaCE funding, UNSW and BT Imaging are advancing an AI-driven inspection system that maps defects without contact, improving throughput for solar production.
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