Features
- Sensor output based on AI machine learning algorithmic:
- Absolute measurement of total organic compounds (TVOC) concentrations and indoor air quality (IAQ)
- Estimated carbon dioxide level (eCO2)
- Relative IAQ based on TVOC and odor changes
- Ultra-low average power consumption < 0.2mW
- Siloxane resistant
- JEDEC JESD47 qualified for 10 years lifetime
- Supply voltage: 1.8V to 3.6V
- Operating temperature -40°C to 65°C
- IP67 rating
- Package: 4.5 × 4.0 × 0.950 mm body, 0.50 pitch 20-LGA
- Supports I2C and UART
Description
The RRH46410 gas sensor module simplifies the integration of the Renesas ZMOD4410 Gas Sensor platform with an integrated MCU for a quicker design and faster time-to-market entry. The sensor detects chemical pollution in the form of total volatile organic compounds (VOCs) found in indoor environments. The sensor module comes pre-loaded with operating modes like the 2nd generation, ultra-low power, and public building air quality (PBAQ). The sensor output is based on embedded AI and trained using machine learning for best-in-class accuracy of absolute gas concentration measurements and high part-to-part consistency.