EW 2025: Decision Making at the Edge with AI-Driven Sensors
There are various methods of integrating intelligence into industrial systems, including edge and cloud artificial intelligence (AI) paired with sensors that have both analog and digital components. With the diversity of AI approaches sensor designers must consider factors such as decision-making latency, network usage, power consumption, battery life, and AI model fit for machines. This talk explores the application of edge AI for predictive maintenance, featuring Voyager 4 - a wireless asset health monitoring solution with built-in edge AI capabilities. It examines sensor design and implementation, addressing key questions like how edge AI can extend sensor battery life and enhance system insights and decision-making.
EW 2025: Decision Making at the Edge with AI-Driven Sensors
There are various methods of integrating intelligence into industrial systems, including edge and cloud artificial intelligence (AI) paired with sensors that have both analog and digital components. With the diversity of AI approaches sensor designers must consider factors such as decision-making latency, network usage, power consumption, battery life, and AI model fit for machines. This talk explores the application of edge AI for predictive maintenance, featuring Voyager 4 - a wireless asset health monitoring solution with built-in edge AI capabilities. It examines sensor design and implementation, addressing key questions like how edge AI can extend sensor battery life and enhance system insights and decision-making.
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