Researchers at MIT have developed an innovative system called mmNorm, leveraging millimeter wave (mmWave) imaging to enable robots to detect damage within sealed cardboard boxes without opening them. This technology achieved a remarkable 96% accuracy in reconstructing complex items, significantly outperforming existing systems at 78%. By capturing reflections from multiple antennas, mmNorm analyzes surface direction, enhancing 3D reconstruction. Its potential applications range from warehouse automation to security screening, promising efficiency and safety improvements.
Researchers at MIT have developed an innovative system called mmNorm, leveraging millimeter wave (mmWave) imaging to enable robots to detect damage within sealed cardboard boxes without opening them. This technology achieved a remarkable 96% accuracy in reconstructing complex items, significantly outperforming existing systems at 78%. By capturing reflections from multiple antennas, mmNorm analyzes surface direction, enhancing 3D reconstruction. Its potential applications range from warehouse automation to security screening, promising efficiency and safety improvements.