Zurich – CSEM Zurich and Miromico have developed a compact wireless node that analyses industrial sensor data directly at the source. The extremely energy-efficient platform activates its Internet of Things (IoT) connection only when relevant information needs to be transmitted.
(CONNECT) The Swiss Center for Electronics and Microtechnology (CSEM) in Zurich and Zurich-based IoT specialist Miromico have developed a compact, battery-powered node for the industrial IoT. It combines CSEM's extremely energy-efficient Fibonacci artificial intelligence (AI) chip with Miromico's wireless communication module.
With what is known as on-device AI, industrial sensor data is analysed directly at the source—for example, from microphones, accelerometers, and small cameras. According to a statement from CSEM, the platform activates its LoRa or Mioty wireless connection only when relevant audio, motion, or image data on the chip is detected as an anomaly. Only these are transmitted, which reduces data traffic and saves both energy and bandwidth.
“Fibonacci brings useful AI directly to industrial sensors, where every milliwatt and every transmitted byte counts,” says Stéphane Emery, group leader for integrated and wireless systems at CSEM. "Local data processing allows the node to detect relevant events without continuously sending raw data. This paves the way for more autonomous monitoring systems."
Miromico's modular wireless module handles communication between the device and the gateway. The same hardware platform can be configured for LoRa or Mioty. This allows the connectivity to be customised without having to redesign the node.
“Industrial customers need sensor solutions that are efficient, adaptable, and easy to implement,” said Miromico CEO Schekeb Fateh. "The combination of local AI and a selection of long-range wireless technologies offers manufacturers a practical way to monitor equipment in locations with limited power and bandwidth." ce/mm
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