Industries globally are facing increasing pressure to enhance operational efficiency and reduce human intervention in hazardous or repetitive tasks. The rise of AI-driven automation across sectors like surveillance, broadcasting, and industrial robotics necessitates camera systems that can perform with unparalleled accuracy and reliability. This technology directly addresses these demands, enabling companies to meet stringent quality standards and maintain a competitive edge in an evolving technological landscape.
Achieves superior control precision by minimizing camera blur and positional errors in complex environments, enabling high-accuracy tracking.
Reduces development time by ~33% by allowing rapid integration as a software module into existing camera systems and gimbals, cutting effort and costs.
Establishes a strong IP foundation with a robust patent that overcame four prior art references and examiner scrutiny, mitigating legal risks for business expansion.
This patent protects the core aspects of high-precision pan-tilt angle calculation through 5 claims. It successfully overcame an office action, demonstrating a robust and stable right with low invalidation risk, providing a secure foundation for business development.
This patent primarily covers the calculation of pan-tilt angles. White space exists in developing novel hardware designs for gimbals, advanced sensor fusion techniques, or specific AI-driven object recognition algorithms that could feed into this system.
Implementing this technology enables high-precision automated control, reducing manual camera adjustment labor. For example, eliminating 5 camera operators at ~$40K/operator (AI est.) could save ~$200K/year (AI est.) in labor costs. Additionally, reducing reshoots and adjustment errors could cut annual production costs by ~10%, or ~$15K/year (AI est.) for a typical ~$130K/year (AI est.) budget.
X: High-Precision Control Stability
Y: Deployment Cost Efficiency