Our patent, US11688030B2, granted on June 27, 2023, represents a significant innovation in the field of robotic handling. This technology is designed to optimize robotic assemblies for cargo handling, making the process smarter and faster.
Our technology is a game-changer for robotic systems used in environments like cargo trailers, where identifying and handling stacked cartons can be challenging. Traditional vision systems often struggle with the complexities of cargo layouts, especially when lighting conditions or surface textures interfere. Our shading topography approach solves these problems by using strategically positioned light sources and cameras that work together to capture detailed images of the cargo surfaces.
The system uses multiple light sources placed at different angles to illuminate the cargo. Cameras are placed between these lights to capture high-resolution images from various perspectives. The result is a “shading topography” map—a highly detailed visual representation of the cargo’s surface. This map allows the robot to detect the exact position and boundaries of each item, even when the cargo is tightly packed or when surfaces have little depth variation.
By analyzing these images, our system determines the precise location of the edges and interfaces between stacked cartons or boxes. This enables the robot to “see” the cargo in 3D, using advanced imaging techniques that combine shading information with depth data. The shading topography imaging also adjusts dynamically based on environmental factors, reducing the need for constant recalibration.
This technology goes beyond just vision—it provides the robotic system with intelligent, actionable data. The robot can now understand where to grab a carton, how to handle it safely, and how to optimize unloading tasks. Whether the cartons are packed tightly or the lighting is challenging, our system ensures that every step of the unloading process is efficient and reliable.
Our shading topography system is designed to work seamlessly with existing robotic infrastructures. It’s adaptable, scalable, and perfect for industries that require high-speed, accurate robotic unloading, such as logistics, warehousing, and transportation. By integrating this technology, we’re not only improving operational efficiency but also reducing the need for manual labor, making the entire process safer and more cost-effective.
This patent represents our commitment to pushing the boundaries of robotic vision and automation. We’re proud to own this cutting-edge technology, and we believe it will play a crucial role in the future of automated cargo handling.