Consumer demand for transparent food sourcing and higher quality standards is intensifying, pushing food processors and retailers to adopt advanced inspection technologies. Simultaneously, escalating labor costs and supply chain disruptions necessitate automated, efficient solutions. This EIT technology directly addresses these pressures by enabling rapid, objective quality assessment, reducing human error, and improving traceability across the food supply chain, fostering greater consumer trust and operational resilience.
Reduces Initial Deployment Costs by ~65% compared to complex imaging systems.
Accelerates Diagnosis Time by up to 3x, enabling real-time, non-destructive meat composition analysis.
Ensures High-Precision Diagnosis for Diverse Meat Shapes by adapting flexible electrodes to surface contours.
This patent protects the core components of an Electrical Impedance Tomography sensor, specifically the combination of flexible electrodes and a displacement meter, with four clearly defined claims. The successful grant after a single office action, involving precise amendments and arguments, indicates a robust and stable scope of protection, making the claims less susceptible to invalidation.
This patent focuses on the EIT sensor and its displacement measurement for meat. White space exists in integrating this data with broader IoT platforms for supply chain optimization or developing advanced AI/ML models for predictive quality analytics beyond basic composition.
Traditional meat inspection, including destructive testing and skilled manual labor, can incur annual costs of ~$50K (AI est.) per facility. Implementing this technology could reduce annual labor costs by ~$100K (AI est.) (50% of 5 inspectors at ~$50K/person/year (AI est.)) and achieve an additional ~$50K (AI est.) through a 20% reduction in inspection time and 10% reduction in waste. This totals an estimated annual cost saving of ~$150K (AI est.) per facility.
X: Shape Adaptability to Object
Y: Real-time Diagnostic Efficiency