New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.

A research team at Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences (CAS), proposed a new strategy for fast and accurate detection of surface water quality by fusing the data ...

With a new slim design, the combined LiDAR and Camera is purpose-built for behind-the-windshield installations, drones, micro-robotics and humanoids The solution simplifies OEM sensor integration, ...

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

Sensor fusion combines multiple sensing modalities to improve environmental perception, obstacle avoidance, and safety in autonomous systems. AI-enabled vision and 3D depth sensing are revolutionizing ...

The study demonstrates that combining LiDAR, multispectral, and thermal infrared imaging with ensemble learning significantly enhances prediction accuracy, supporting smarter crop management.

Bengaluru-based spacetech startup GalaxEye Space has inked a pact with Innovations for Defence Excellence (iDEX) to build multi sensor fusion processing system for miniature satellites that would be ...

Sensor fusion has been around for many years and is ubiquitous in mobile device designs. Sensor fusion “fuses” data from different types of sensors to improve measurement accuracy, such as for motion ...

Multi-layered defense architectures frequently create significant sensor integration and performance problems due to the layered structure itself. While the concept of “defense in depth” sounds ...