Digital transformation (DX) is compelling industries worldwide to integrate AR/XR for operational efficiency and safety. Concurrently, regulatory bodies are increasingly mandating advanced safety protocols, particularly in high-risk sectors like construction and infrastructure. Furthermore, consumer demand for immersive, data-rich experiences in tourism and entertainment is surging. This technology directly meets these evolving market forces by providing critical real-time spatial intelligence, enabling businesses to comply with safety standards and innovate user engagement.
Enhances Safety with Intuitive Information Display: Maps invisible boundaries such as national borders, hazardous zones, or hazard map boundaries onto real-time images using AR, enabling users to intuitively grasp situations and act safely.
High-Precision Boundary Arrival Time Prediction: Combines GPS data and various device sensor data to estimate and display the arrival time at a boundary based on the device's position relative to it, supporting proactive action planning.
Versatility for Diverse Boundary Types: Supports any identifiable boundary based on global coordinates, including geographical boundaries like the International Date Line or national borders, and hazard level boundaries on hazard maps, enabling broad application across various fields.
This patent protects a system, method, and program for visualizing identifiable boundaries on images using camera-equipped devices, GPS, and sensors, including predicting arrival times. The claims, refined through two office actions, provide robust protection for the core boundary mapping algorithm and time estimation logic, ensuring a strong and difficult-to-invalidate right.
Adjacent areas not explicitly covered by this patent include advanced sensor fusion for extreme environmental conditions, integration with autonomous systems for boundary adherence, or personalized haptic feedback for boundary proximity alerts.
Assuming approximately 5 minor accidents per year due to erroneous intrusion into hazardous zones in construction sites or factories, resulting in about $40K (AI est.) in damages (work interruption, repair costs, human costs). If this technology reduces erroneous intrusions by 50%, it could avoid $20K (AI est.) in direct damages annually per site. Applying this to 10 sites could result in an estimated annual cost reduction of ~$200K (AI est.).
X: Real-time Information Accuracy
Y: Ease of Implementation