Give Your Product Awareness and Control With Intelligent Sensor Engineering
Your product cannot react to conditions it cannot measure. SDI integrates physical sensors, embedded processing, and control logic so equipment can detect changes, interpret signals, and take appropriate, bounded action—locally or through connected systems.
Sensors That Support Decisions
Are you collecting measurements—or getting useful information?
Raw sensor values can be misleading when the wrong sensor is selected, calibration is weak, or environmental noise overwhelms the signal. SDI helps choose and integrate suitable temperature, pressure, motion, vibration, optical, current, proximity, or environmental sensors based on the measurement range and operating conditions.
We consider mounting, sampling, filtering, drift, diagnostics, and data interpretation so the signal has a clear meaning to the product and its user.
Sensor and embedded engineering assistance is available at $35/hour for defined work.
Intelligent Control & Edge AI
When should your device respond automatically instead of waiting for the cloud?
Control logic may use thresholds, PID loops, state machines, sensor fusion, or lightweight machine-learning inference. For suitable devices, edge AI can help detect anomalies, recognize patterns, or prioritize events without continuously sending raw data to a server.
Safety boundaries, deterministic responses, fault detection, and manual override matter whenever a product controls motion, power, temperature, or other physical processes.
From Signals to Product Behavior
What can smarter sensor integration enable?
Start with an observable condition and a clearly defined response.
Condition Monitoring
SEE CHANGES EARLY
Collect vibration, temperature, electrical, or environmental signals for equipment health and operational visibility.
Adaptive Controls
RESPOND IN CONTEXT
Adjust supported device functions based on validated feedback, configured limits, and approved control rules.
Edge AI Detection
SPOT USEFUL PATTERNS
Evaluate local classification or anomaly detection where quick response, reduced bandwidth, or privacy matter.
Calibrated, Testable Systems
How do you trust the readings and actions after installation?
SDI can plan calibration, reference measurements, sampling strategy, data quality checks, and test cases for expected and abnormal conditions. Hardware selection, firmware, communication protocols such as I2C, SPI, CAN, or Modbus, and any cloud telemetry are reviewed as one system.
For critical operations, automated recommendations can remain advisory or require human approval; autonomy should match the risk of the physical action.