Digital transformation initiatives across industries are driving an unprecedented demand for efficient 3D data management. The proliferation of complex product designs, digital twins, and virtual prototyping necessitates robust systems for rapid asset identification and reuse. This technology directly addresses the competitive pressure to accelerate time-to-market and reduce development costs, especially as companies strive to leverage existing IP and minimize redundant design efforts. Regulatory demands for traceability and data integrity further underscore the need for advanced 3D model search capabilities.
Significantly reduces similarity calculation and overall processing time, accelerating design and development cycles.
Minimizes feature data size, enabling high-precision identical model searches, reducing storage costs, and improving data management efficiency.
Enables high-precision searches for exact matches in both external shape and internal structure using multi-view rendering and spherical harmonic transforms.
This patent establishes broad and detailed protection across 13 claims, covering a 3D assembly model search system, method, and program. It specifically protects the unique feature generation and search algorithms, including multi-view rendering and spherical harmonic transforms, ensuring a robust and stable right with low invalidation risk.
This patent focuses on the core 3D model search algorithm and feature generation. White space exists in developing specialized user interfaces for complex assembly visualization, integrating with specific CAD/PLM platforms, or applying AI for generative design based on retrieved models.
Assuming 3D model search and selection takes an average of 500 hours annually in the design department. If this technology reduces that time by approximately 60% (300 hours saved), with a designer's hourly rate of $100/hour (AI est.), an annual cost reduction of $30,000 (AI est.) is projected. Including further reductions in new design effort from increased reuse of existing models and error reduction, the total economic impact could exceed $200,000 per year (AI est.).
X: Search Efficiency and Speed
Y: Multi-Dimensional Analysis Depth