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Optimization of data collection frequency based on hardware constraints and requirements.
Distinct from Check-in Interval Tuning: Distinct from radio frequency or network check-in tuning; focuses on sensor/image capture rates.
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AI-on-the-edge-device is an edge AI meter digitizer and computer vision image processor designed to convert images of analog and digital utility meters into numeric values. It functions as an IoT gateway that runs neural network inference locally on hardware to monitor water, power, and gas readings. The system is distinguished by its ability to handle both analog pointers and digital digits through custom-trained neural networks. It includes specialized tools for image alignment, region-of-interest extraction, and hardware-level lighting control to minimize glare on glass surfaces. To mainta
Adjusts image processing frequency based on hardware resolution and speed.