A cutting-edge solution for monitoring ice cream quality using RGB and NIR imaging combined with partial Mueller-matrix polarimetry, enabling real-time assessment of pigment distribution, air void fraction, and crystalization properties.
The in-line ice cream quality monitoring system is an innovative solution designed to enhance the manufacturing process by providing real-time, non-contact assessments of key quality metrics. By integrating RGB and near-infrared (NIR) imaging with partial Mueller-matrix polarimetry, this technology offers precise evaluations of an ice cream's pigment distribution, air void fraction, and crystallization properties. This ensures consistency in product texture and color, crucial for maintaining brand standards and consumer satisfaction.
Key features:
Currently at Technology Readiness Level 6, this system has been validated in a relevant environment. The ongoing project plan includes sensor design, fabrication, deployment, and testing phases to ensure seamless integration and operation within existing manufacturing workflows. Final support and reporting are planned to ensure full operational capability and knowledge transfer to industry partners.
North Carolina State University is a large, comprehensive public land‑grant research university in Raleigh. Its on‑campus research and technology park co‑locates corporate R&D groups, government partners, and faculty labs, enabling shared facilities, prototyping, and agile contracting. Located in North Carolina’s Research Triangle, partners tap a dense regional ecosystem while engaging through a statewide extension network and a mature co‑op program that deliver field deployment and workforce pipelines. Multiple pilot and demonstration facilities support scale‑up and validation toward pre‑commercial readiness. Research is supported by competitive funding from major federal agencies, including NSF, USDA, DOE, and DOD, and a dedicated technology transfer office with clear IP pathways helps accelerate commercialization.