Interesting Patents | Thursday, February 9, 2023
The United States Patent and Trademark Office (USPTO) grants hundreds of new patents every week, showcasing developments in technology and innovation. In our Interesting Patents series, we highlight exciting US patents recently issued by the USPTO.
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Unmanned Aerial Vehicle With Object Detection Propeller Stoppage
ASSIGNEE: SNAP INC.
US PAT. NO. 11,572,160
Unmanned aerial vehicles, or drones, are becoming increasingly popular, but with their increasing use come new safety concerns. A patent has been granted to ensure the public’s safety from drone propellers protecting the public and the drone itself.
This patent describes a system that uses beams of light adjacent to the propellers to stop the rotation of the propellers in response to the detection of an object, such as a finger, blocking the beams. This innovative solution is a much-needed addition to the field of drone safety. With the increasing use of UAVs for various applications, the risk of accidents involving high-speed propellers has also increased. This is a significant improvement over conventional UAV safety measures, which rely on physical propeller guards or shrouds. By using beams of light, the new system is more reliable and does not rely on physical barriers that could become damaged or displaced.
The development of safe and efficient drone technology is essential for future UAVs’ continued adoption. As UAV technology continues to improve, it’s vital to ensure that these vehicles are used safely in public spaces. This patent is a step towards providing a reliable safety measure that will help to increase public trust in UAV technology.
Three-Dimensional (3D) Image Modeling Systems and Methods for Automatically Generating Photorealistic, Virtual 3D Packaging and Product Models From 2D Imaging Assets and Dimensional Data
ASSIGNEE: THE PROCTER & GAMBLE COMPANY
US PAT. APPL NO: 17/392,331
This patent publication describes systems and methods for automatically generating 3D models from 2D imaging assets and dimensional data. Storing the 2D images, dimensional data, and asset manipulation script can determine a 3D classification of the product or package to be modeled. A parametric model can be generated using the extracted information from the 2D image and the dimensional data set. The model could then generate a virtual 3D model rendered as a photorealistic image for use in a virtual environment.
As technology progresses into the digital age, this technology demonstrates the increasing trend toward digitizing real-world products and integrating augmented reality into business practices. Providing a seamless process for creating virtual representations of products has made it easier to give customers a more interactive and immersive shopping experience within a virtual environment. Providing customers with virtual corollaries of the product they are shopping for can help usher in the technology to provide customers with a more immersive and interactive shopping experience within a virtual world.
As technology advances and changes the way we shop and market products, this patent publication is a clear example of how we’re moving towards a future where virtual and augmented reality are integral components of the shopping experience.
Three-dimensional (3D) modeling systems and methods are described for automatically generating photorealistic, virtual 3D package and product models from two-dimensional (2D) imaging assets and dimensional data. The 3D modeling systems and methods include storing, by a memory with one or more processors, 2D imaging assets and dimensional datasets, obtaining, with an imaging asset manipulation script, a shape classification defining a real-world product or product package to be virtually modeled in 3D space, generating, with the imaging asset manipulation script, a spline based on an alpha channel extracted from a 2D imaging asset depicting the real-world product or package, and generating, with the imaging asset manipulation script, a parametric model based on the spline, the dimensional dataset, and the shape classification. A virtual 3D model is generated based on the parametric model and rendered, via a graphical display or environment, as a photorealistic image representing the real-world product or product package.
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