Title: A Method for Determining a Height of an Object from a Single Image Recorded by an Imaging Device Comprised by an Aerial Vehicle
Patent Number: EP4119892B1
Inventors: Marco Painho, Mauro Castelli, Andrea Tonini
Patent Type: European Patent
Patent Status: Granted and registered with the European Patent Office
Drone-Based Measurement System
Why It Matters
Accurate measurement of physical features (e.g., terrain, infrastructure, or environmental elements) is critical for fields like urban planning, agriculture, and disaster management. Traditional methods are often time-consuming, costly, or limited in scope. This patented system redefines precision and efficiency by leveraging drones equipped with advanced sensors and proprietary algorithms.
Description
This patent, developed by researchers from NOVA IMS and affiliated with the MagIC research centre, introduces an innovative method for determining the height of an object from a single image captured by a camera mounted on an unmanned aerial vehicle (UAV), such as a drone. Unlike traditional measurement systems that require georeferencing, ground control points, or complex 3D reconstructions, this method relies on the presence of one or more reference objects of known height within the same image. Using this visual information, the system applies geometric and mathematical models to accurately estimate the target object's height in real-world coordinates.
The patented solution addresses a critical challenge in geospatial analysis and remote sensing by enabling cost-effective, rapid, and accurate measurement without the need for GPS or ground-based infrastructure. Its simplicity and scalability make it highly suitable for applications in environmental monitoring, precision agriculture, architecture, disaster response, sports analytics, and migration management, where timely and reliable spatial data are crucial.
Key Innovations
- Automated Data Collection: UAVs autonomously capture high-resolution spatial data, reducing human error.
- Real-Time Processing: Onboard algorithms process measurements in flight, enabling immediate insights.
- Scalability: Adaptable to diverse use cases, from monitoring climate change impacts to inspecting critical infrastructure.
Applications:
✔ Environmental monitoring
✔ Precision agriculture
✔ Smart city development
✔ Emergency response