The convergence of physical and digital worlds, driven by Industry 4.0 and immersive technologies, demands unprecedented precision in spatial data alignment. Companies are under pressure to reduce operational costs, enhance productivity, and democratize complex tasks previously reliant on expert labor. This technology provides a timely solution, enabling seamless integration of real-world camera feeds with digital models, critical for advanced manufacturing, remote operations, and next-generation media experiences.
Offers Strong Technical Uniqueness: Only two prior art documents were cited, indicating significant technical superiority and potential for rapid market penetration.
Enables Intuitive Operation and High Precision: Core drag-and-drop landmark distance adjustment allows non-specialists to achieve high-precision, rapid camera alignment.
Significantly Reduces Development Time: The established algorithm could shorten time-to-market by approximately 3.0 years compared to in-house development.
This patent protects an apparatus and program for generating camera position adjustment information, characterized by its intuitive landmark-based alignment algorithm. With only two prior art documents cited, it represents a highly unique and robust intellectual property, offering broad applicability across various business models.
This patent primarily covers software-driven camera position adjustment. Opportunities exist for licensees to develop complementary hardware for specialized camera systems or integrate advanced sensor fusion techniques beyond optical data.
In video production, high-precision camera adjustments by skilled operators average 4 hours per instance, occurring 500 times annually. At an estimated $100/hour (AI est.) for skilled operators, the annual cost is ~$200K (AI est.). This technology could reduce adjustment time by 50% (2 hours saved), leading to a direct labor cost reduction of ~$100K/year (AI est.). Factoring in project timeline acceleration and reduced revenue opportunity loss, the total economic impact could reach ~$1M/year (AI est.).
X: Ease of Integration & Versatility
Y: Adjustment Precision & Efficiency