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Hello everyone,
I’m currently designing a low-power edge computing device based on an NXP microcontroller and wanted to get some advice from the community. The system performs intermittent sensor sampling and local inference, then sends summarized results to a host system for further analysis.
During development and testing, I’m using an ai enabled laptop to profile performance, validate inference output, and monitor power consumption patterns over extended runs. My main challenge is optimizing power usage on the MCU side while maintaining acceptable response time for inference tasks.
Are there recommended low-power modes, clock scaling techniques, or SDK features in MCUXpresso that work well for this kind of workload? Any real-world experiences with balancing performance and power on NXP MCUs would be very helpful. Thanks in advance for your insights.