A multi-modal, non-contact optical imaging system combining multi-spectral imaging and laser biospeckle imaging to support real-time ice cream quality monitoring. Multi-spectral imaging captures spectral variations related to product quality, while laser biospeckle imaging provides information tied to viscosity and structural properties. The system is designed to be scalable and adaptable across ice cream types and can incorporate additional environmental measurements such as temperature and humidity.
The multi-modal optical imaging system is designed to improve ice cream quality monitoring during production. It integrates multi-spectral imaging (MSI) with laser biospeckle imaging (LBI) to provide complementary diagnostics. MSI captures spectral variations associated with different product qualities, while LBI provides insights related to viscosity and structural properties. The approach is non-contact and intended for real-time diagnostic use to support manufacturing efficiency and product quality.
The system includes a laser with a stable current driver, a broadband light source, and optical filters that transmit selected wavelengths to a camera. Linear polarizers are used to minimize irrelevant reflections and improve image quality. The MSI component provides detailed spectral data, while the LBI component focuses on viscosity- and structure-related information. The overall setup is adaptable, enabling the incorporation of additional environmental data such as temperature and humidity to support diverse product conditions.
The system is currently at Technology Readiness Level 5. It has been built and calibrated for initial testing with ice cream samples. Future validation will involve further refinement and testing under real-world manufacturing conditions, with potential for long-term system integration enhancements.
Xi’an Jiaotong‑Liverpool University is a Sino‑British joint university in Suzhou, operating as a research‑led, internationally oriented institution. Its main campus in the Suzhou Dushu Lake Science and Education Innovation District of Suzhou Industrial Park gives companies access to a dense innovation ecosystem and nearby advanced manufacturing. The Entrepreneur College in Taicang runs industry‑themed schools and an embedded co‑education model that aligns talent pipelines and applied R&D with partner firms in a nearby high‑tech zone. Research is supported by competitive national, provincial and municipal programs in China, including awards from the National Natural Science Foundation of China. A dedicated Research Engagement and Innovation Office enables collaboration, technology transfer and IP management.