# How Computers Track the Position and Angle of Multiple Objects > A method for using multiple cameras to track the exact location and orientation of many similar objects in a 3D space, even when they overlap. - **Patent:** US 12211234 - **Original title:** Estimation method, estimation apparatus and program - **Owner:** Nippon Telegraph and Telephone Corp - **Granted:** 2025 - **Status:** Active - **Times cited:** 0 - **Field:** ai_ml, mechanical, consumer_electronics ## What it does This patent describes a system that uses multiple cameras to observe a 3D space containing several similar objects. First, it identifies 'representative points' for each object in the camera images. It then calculates where those objects are in 3D space by comparing these points across different camera angles. Finally, it uses a pre-trained machine learning model to estimate the 'attitude'—or the specific angle and orientation—of each object by combining its calculated position with visual features like the shape of the object in the image. ## What it does NOT cover - Does not cover systems that use only a single camera to estimate 3D position. - Does not cover object tracking methods that rely on depth sensors like LiDAR or Time-of-Flight cameras. - Does not cover tracking systems that require objects to have unique visual markers or QR codes. - Does not cover methods that do not use a regression model to estimate the final object orientation. ## The clever bit The system handles overlapping objects by assigning 'predetermined values' to features when images overlap, effectively telling the machine learning model to ignore the corrupted visual data and rely on the known spatial position instead. ## Real-world examples 1. Automated robotic assembly lines 2. Warehouse sorting systems for identical items 3. Multi-camera computer vision for manufacturing quality control ## Why it matters In industrial robotics and automated manufacturing, tracking multiple identical parts (like screws or automotive components) moving on a conveyor belt is difficult. This technology helps robots 'see' exactly how an object is tilted or rotated, which is essential for picking it up correctly. It provides a mathematical way to handle the common problem where one object blocks another from the camera's view. ## Frequently asked questions ### What does How Computers Track the Position and Angle of Multiple Objects cover? A method for using multiple cameras to track the exact location and orientation of many similar objects in a 3D space, even when they overlap. ### Who owns patent US 12211234? Nippon Telegraph and Telephone Corp owns this patent, granted in 2025. ### When does this patent expire? This patent is expected to expire on January 28, 2045, when the invention enters the public domain. ### What problem does this patent solve? In industrial robotics and automated manufacturing, tracking multiple identical parts (like screws or automotive components) moving on a conveyor belt is difficult. This technology helps robots 'see' exactly how an object is tilted or rotated, which is essential for picking it up correctly. It provides a mathematical way to handle the common problem where one object blocks another from the camera's view. ### What does this patent NOT cover? Does not cover systems that use only a single camera to estimate 3D position. **Full plain-English explainer:** https://patentbrief.org/patent/us/12211234/rapid-iterative-development **Original patent:** https://patents.google.com/patent/US12211234 --- _Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._ ## Related patents Semantically similar inventions in the PatentBrief corpus: - [How Cameras Automatically Re-Adjust Themselves Using Fixed Objects](https://patentbrief.org/patent/us/12737921/automated-recalibration-of-sensors-for-monitoring-an-area-of-real-space) — This patent describes a method for surveillance cameras to automatically correct their aim and focus by comparing what they currently see to old calibration images, specifically looking for fixed objects in the scene. - [How to Build 3D Models Using Pictures from Different Angles](https://patentbrief.org/patent/us/12737973/3d-model-generation-using-multiple-textures) — This patent describes a system that creates a three-dimensional digital object by combining multiple flat images taken from different viewpoints, then lets a user fine-tune how those images wrap around the object. - [How AI Cameras Check Factory Parts for Flaws](https://patentbrief.org/patent/us/12243216/system-and-method-for-ai-visual-inspection) — This patent describes an automated system using a camera and artificial intelligence to inspect manufactured parts, identifying defect types, locations, and confidence levels, then communicating this data to a factory controller. - [How a Robot System Inspects and Grades Objects for Flaws](https://patentbrief.org/patent/us/10753882/inspection-and-cosmetic-grading-through-image-processing-system-and-method) — This patent describes an automated system that uses cameras, special lighting, and deep learning AI to find and measure tiny flaws on an object's surface, then assigns a quality grade and sorts it. - [How Robots Figure Out What They're Carrying While Moving](https://patentbrief.org/patent/us/20250170731/dynamic-mass-estimation-methods-for-an-integrated-mobile-manipulator-robot) — This patent describes how a mobile robot can estimate the weight and balance of an object it's carrying *while moving it*, and then adjust its movements for better control and safety.