The global push for Industry 4.0 and sustainable manufacturing is driving demand for advanced automation and real-time quality assurance. Companies are seeking solutions to minimize operational footprint, reduce manual labor, and enhance data-driven decision-making. This technology aligns perfectly with these trends, offering a critical tool for optimizing production flows, ensuring product consistency, and achieving greater operational resilience in an increasingly competitive global landscape.
Significantly reduces device depth by using an optical path extension member, enabling easy integration into narrow production lines and existing facilities.
Telecentric optics eliminate errors from object position variations, achieving stable, high-precision non-contact measurement.
Derives volume from shadow images, allowing application to a wide range of industrial products and components regardless of shape or material.
This patent protects a volume measurement device and method, specifically covering the unique combination of a light source, an optical path extension member, a telecentric member to parallelize light, and an image sensor to detect shadow images. The claims comprehensively protect the core technology, demonstrating strong differentiation from prior art and a low invalidation risk after rigorous examination.
This patent focuses on shadow image analysis for volume. White space exists in integrating this data with advanced AI for predictive quality analytics or combining it with other sensor modalities (e.g., thermal, spectroscopic) for multi-parameter object characterization.
Implementing this technology in production line inspection processes could reduce installation area by 2/3 compared to conventional methods, potentially saving ~$20K/year (AI est.) in equipment costs and rent. Additionally, transitioning from manual to automated measurement could eliminate one operator, saving approximately ~$30K/year (AI est.) in labor costs. The total estimated economic impact is ~$50K/year (AI est.).
X: Installation Space Efficiency
Y: Measurement Precision & Stability