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

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 ...

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.

Rapid advances in sensing technologies and artificial intelligence are transforming how we observe, understand, and manage soils. Many of soil properties ...

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, ...

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

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 ...