Researchers at the Massachusetts Institute of Technology (MIT) have made a groundbreaking advancement in imaging technology, creating a system that offers robots a form of ‘X-ray vision.’ This innovative technology, known as mmNorm, uses millimeter-wave signals—comparable to those found in Wi-Fi and 5G—to see through materials such as cardboard, plastic, and even interior walls, reconstructing the precise shape of objects hidden from view.
Unlike traditional radar, which only locates objects with basic representations, this new system analyzes how surfaces reflect wireless signals like a mirror. By evaluating these reflections from multiple angles, it accurately estimates the orientation and curvature of an object’s surface. This data is then combined to form a detailed 3D model.
This approach marks a significant change in how these signals and 3D reconstructions are perceived. Lead researcher Laura Dodds expressed excitement about the broad impact of these insights.
In practical tests, mmNorm demonstrated an impressive 96% accuracy in reconstructing various complex objects, such as silverware and power tools, surpassing previous methods significantly. This technology could revolutionize robotics and automation by enabling machines to identify objects inside boxes, determine their position, and assess any potential damage without needing to open them.
The potential applications are vast, including equipping factory workers with augmented reality headsets to visualize internal machinery components or enhancing airport security scanners for clearer detection of concealed items. While the system currently has limitations with metal or extremely thick walls, efforts to improve its capabilities are ongoing.
