Global supply chains face unprecedented pressures from rising labor costs, sustainability mandates, and the need for real-time visibility. The push for Industry 4.0 and smart logistics demands identification solutions that are both economical and robust. This chipless tag technology aligns perfectly with these trends, offering a scalable, eco-friendly alternative to traditional RFID that can significantly reduce operational expenditures and improve data integrity across vast inventories.
Expands code capacity significantly, potentially allowing more detailed information to be assigned to tags compared to conventional chipless tags.
Enables stable and highly accurate tag information reading, even in noisy environments, by being less susceptible to radio interference and environmental fluctuations due to its specific transmission line structure.
Reduces material and manufacturing costs significantly by eliminating the need for IC chips, while also minimizing resource consumption and waste, contributing to ESG management.
This patent protects a multi-resonator chipless tag system, specifically its unique transmission line structure for high-density information storage and stable, high-precision reading. With 17 claims, it broadly covers the essential features of the technology, demonstrating robust protection against prior art and a strong differentiation from existing solutions.
White space exists in developing advanced data analytics platforms for the collected tag information or integrating this system with broader enterprise resource planning (ERP) and supply chain management (SCM) software. Further IP could also be built around novel materials for tag substrates to enhance durability or specific environmental resistances.
This chipless tag technology, which forms transmission lines on a dielectric substrate, could reduce manufacturing costs by approximately 2/3 compared to conventional IC chip-based RFID tags (unit cost ~$0.07/tag (AI est.)). For an adopting company using 10 million tags annually, this translates to a material cost reduction of ~$0.05 per tag (AI est.), totaling ~$500K/year (AI est.). When combined with reduced misreading/rework costs from improved accuracy and optimized inventory management, the total economic impact could exceed ~$650K/year (AI est.).
X: Tag Information Density
Y: Cost Efficiency