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Battery-Powered Edge AI Sensing: A Case Study Implementing Low-Power, Always-On CapabilityPeter FennDirector, Advanced Applications GroupAvnet•Designing for low power consumption•Edge AI design goals, constraints and applications •“Always on” smart sensors and AI/ML processing•Wireless connectivity low-power techniques•Device security in low-power use-cases •Case study: Sensors, NPU, Secure-MCU, Wi-Fi/BT + more…•Revisit of design trade-offs and lessons learned•References and resources for more info…Agenda2Designing for low power consumptionBattery-powered IoT/Edge devices need to be energy-efficient!•Average Current Consumption is a key specification(i.e. the “area under the energy curve”)Power = V x IEnergy = V x I x Time= V x mAhWhat needs to be powered-on and when..?Always-onInterruptActivatedPeriodicReportingSmart SensorsYAI ProcessingYHost MCUYYWirelessYBattery energy needed to achieve the application’s functionality should be analyzed over time! Answer design questions like th