It’s not without challenges, of course. It requires more sensors to be architected into a design, a cohesive data strategy for how to utilize those sensors, as well as new machine learning algorithms ...

legacy data infrastructure struggles to keep pace. Continuous readings over time and space captured by sensor devices now require a new set of design patterns to unlock maximum value. While ...

In today's hyper-connected world, IoT sensors play a crucial role in driving innovation and efficiency. These tiny powerhouses collect and transmit real-time da ...

A new generation of CMOS image sensors can exploit all the image data to perceive a scene, understand the situation, and intervene by embedding artificial intelligence (AI) in the sensor. CEA-Leti ...

Sensor data is all data from a specific sensor on a machine, within a designated timeframe. It is designed to monitor something specific, like a vibration, which might tell the operator that a ...

Using a range of wearable sensors ... data could also help establish staggered work schedules so that not all employees have to share the same space at the same time. “Once you learn the ...

This requires pattern recognition ... amount of data streamed back to sensor fusion for additional analysis. Reducing the amount of data in turn lowers the overall amount of computational power and ...