John Rydning, research vice president at IDC, projects that sensor and machine data volumes will soar over the next five years, achieving a greater than 40% compound annual growth rate through 2027.

Edge AI performs computations locally at or near the data source, rather than relying on distant servers or the cloud. This ...

Networks For Machines: 'Smart Pipes' Today’s most extensive deployments of terrestrial networks aren’t sufficient to meet the needs for machines and sensors operating autonomously and in ...

Vibration sensors monitor the performance of motors, pumps, and other rotating assets such as fans, compressors and gearboxes to catch maintenance issues before they cause machine failure resulting in ...

Multi-modal data fusion technology is breaking through the perception limitations of traditional AI by integrating visual, auditory, textual, and other sources to endow machines with a human-like ...

ML & SS: We are showing different sensors with IO-link, including our awarded Baumer Sensor Suite software, together with the Baumer USB-C IO-link master for easy parametrization and the UF200 ...

The idea is simple enough: just place a INA219 current sensor between the power supply and the microcontroller under observation, and record the resulting measurements as it goes about its business.

AI, machine learning (ML) and the IoT sensors that provide real-time data for algorithms increase agricultural efficiencies, improve crop yields and reduce food production costs. According to the ...

Smart sensors with an IO-Link interface are set to be the predominant technological solution for sensors in the field-level, providing a future proofed solution that integrates with new and ...

Integrating Omniverse Sensor RTX, the blueprint lets robotics developers simultaneously render sensor data from any type of intelligent machine in a factory for high-fidelity, large-scale sensor ...