Smart Environmental Sensors

Advanced multi-sensor arrays with AI-powered environmental monitoring and predictive maintenance capabilities.

Key Features

Temperature, Humidity, Air Quality
Edge AI Processing
5+ Year Battery Life
LoRaWAN & 5G Connectivity

Technical Specifications

Enterprise-grade performance with industrial reliability

Processing Power

  • ARM Cortex-M4 @ 80MHz
  • 2MB Flash, 256KB RAM
  • Hardware Crypto Engine
  • Real-time AI Inference

Environmental Sensors

  • Temperature: ±0.1°C accuracy
  • Humidity: ±1.8% RH accuracy
  • Air Quality: PM2.5, PM10, VOCs
  • Pressure: ±0.12 hPa accuracy

Connectivity

  • LoRaWAN 1.0.3 Class A/C
  • 5G NB-IoT/LTE-M
  • Wi-Fi 6 (802.11ax)
  • Bluetooth 5.2 LE

Security & Reliability

  • AES-256 Encryption
  • Secure Boot & OTA Updates
  • IP67 Ingress Protection
  • -40°C to +85°C Operation

Use Cases & Applications

Versatile solutions for diverse environmental monitoring needs

Smart Buildings

Optimize HVAC systems, monitor air quality, and ensure occupant comfort with real-time environmental data.

30% Energy Savings
Predictive Maintenance

Industrial Monitoring

Monitor production environments, detect anomalies, and ensure compliance with safety regulations.

99.9% Uptime
Real-time Alerts

Agriculture

Precision farming with soil moisture, temperature, and atmospheric monitoring for optimal crop yields.

25% Yield Increase
Water Conservation

AI-Powered Intelligence

Built-in machine learning capabilities enable predictive analytics, anomaly detection, and intelligent decision-making at the edge.

Predictive Analytics

Forecast equipment failures and environmental changes up to 7 days in advance.

Anomaly Detection

Automatically identify unusual patterns and potential issues in real-time.

Adaptive Learning

Continuously improve accuracy through machine learning and historical data analysis.

AI Performance Metrics

95%
Prediction Accuracy
<100ms
Inference Latency
50+
Pre-trained Models

Ready to Deploy Smart Sensors?

Transform your environmental monitoring with AI-powered sensors. Get started with a proof of concept or full deployment.