The importance of edge AI
Edge AI and cloud analytics enable real-time decentralized diagnostics. The first level of processing can be embedded at the sensing node, enabling feature extraction with maximum efficiency, low power consumption and cost reduction. The second level may be implemented on the edge (gateway), further reducing data through additional machine learning techniques. The third is implemented in the cloud and uses all data available over time, enabling historical analysis and dashboard visualization.
Take a look at our case studies based on your research or business needs. Learn more about how our smart sensing solutions have helped our customers achieve their goals and revolutionize their industry.
The World’s First Intelligent Steel Rope
Teufelberger-Redaelli is a recognized leader in the industry of steel wire ropes. 221e installed IoT intelligent sensors on their cableways for a fundamental digital layer of information and safety. This sensor system plays a big part in Structural Health Monitoring (SHM) capabilities and predictive maintenance, which are becoming key differentiators in the construction industry as they enable runtime diagnostics through continuous and remote data collection.