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.
Rapid advances in sensing technologies and artificial intelligence are transforming how we observe, understand, and manage ...
MatrixSpace extends its advanced, portable drone detection portfolio with the launch of the multi-sensor MatrixSpace Fusion 360, verifying threats by fusing radar, optical, and RF/Remote ID sensor ...
MatrixSpace updates AI Software Platform: multi-sensor, real-time counter-drone detection with unified edge-to-cloud threat assessment.
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, ...
Advances beyond single-sensor sleep devices with gesture control, multi-user support & proactive AI. Ships Q2 2026 ...
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 ...
The study demonstrates that combining LiDAR, multispectral, and thermal infrared imaging with ensemble learning significantly enhances prediction accuracy, supporting smarter crop management.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results