Detecting unusual patterns in gas sensor readings to identify air quality hazards, chemical leaks, or ventilation failures. Learns baseline environmental patterns from gas sensor arrays measuring VOCs, CO2, and particulates, then flags deviations using lightweight autoencoder models. The BME688 sensor with built-in AI capabilities is a common choice for edge deployment. Used in building management, industrial safety, and agricultural monitoring.
| Minimum RAM | 32 KB |
| Minimum Flash | 256 KB |
| Sensor Inputs | gas, temperature, humidity |
| Typical Model Size | 10 KB (quantized int8) |
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