Sensor Integration
Industrial Electronics Design Services

The whole path. We choose or design the sensor and front end, get a clean, calibrated measurement, and move it reliably over a field network. Then we add context at the edge and deliver it to SCADA, the cloud or a dashboard. We do this for new products and for retrofits.

Yes. We add non-invasive sensors (current clamps, vibration, temperature), read existing PLCs over MODBUS or OPC UA, and bridge everything through a gateway into ASSET-Rx EDGE without touching the machine’s control logic.

With galvanic isolation, differential signaling, deliberate grounding and shielding, input filtering, surge, ESD and EFT protection, and wide-range industrial power inputs. We run EMC pre-compliance during development so immunity problems show up on the bench, not at the customer’s site.

Temperature (thermocouple, RTD, thermistor), pressure, strain and load cells, current and voltage, vibration and acceleration, flow, level and gas sensors, legacy 4–20 mA and 0–10 V transmitters, cameras, LiDAR and UWB positioning.

By data rate, latency, power budget, distance and RF environment. BLE suits short-range, low-power links. Wi-Fi carries high data rates. LoRa reaches far at low data rates, and NB-IoT uses cellular coverage. Wireless CAN delivers control-grade links across moving equipment. Wired fieldbus is still best wherever running cable is practical.

MODBUS RTU/TCP, CAN and CAN FD, CANopen, SAE J1939, IO-Link, OPC UA, MQTT and custom RS-485 protocols, plus Bluetooth, Wi-Fi, LoRa and NB-IoT. When two systems use different protocols, we write the bridge.

Secure boot, signed over-the-air updates with rollback, encrypted transport, unique device identity and least-privilege access, following ISA/IEC 62443 practices for industrial systems.

Factory and field calibration, self-diagnostics for open, shorted or out-of-range sensors, accurate timestamps, plausibility checks across related signals, and store-and-forward buffering so a network outage doesn’t leave gaps.

CRATUS’s edge computing middleware. It simplifies sensor-to-cloud connections in a no-code/low-code environment and speeds deployment of machine vision, analytics, AI, sensor data collection and IIoT applications at the edge.

Yes. We integrate over OPC UA, MQTT, MODBUS TCP and REST APIs with your SCADA, historian, MES or ERP, and with your choice of cloud or on-premises servers.

It detects anomalies in vibration, current and temperature, predicts maintenance needs, inspects parts with machine vision, and uses LiDAR to measure volumes and detect people or vehicles. Running at the edge cuts bandwidth and latency and keeps sensitive data on site.

Yes. Unsupervised anomaly detection can start from a baseline of normal operation. In parallel, CRATUS generates annotated, ground-truth reference data for supervised models, so accuracy improves as the system runs.

Yes. Compact anomaly-detection and classification models run on Cortex-M microcontrollers right next to the sensor. The ICL8-TM116, for example, computes predictive thermal insight on-device. Heavier vision and LiDAR workloads run on Jetson-class computers. We pick the smallest platform that meets your accuracy and latency targets.

The ICL8-TM116 adds 16 channels of precision temperature sensing with on-device AI. The ICL8-WC182 carries CAN FD data wirelessly across moving equipment. LOMA load managers monitor and control the power circuits, and the ICL8-EB104 gives operators a local view of all of it.

Yes. The INTERCAL8 AI Assistant lets operators manage INTERCAL8 power-control hardware in natural language. They can check status, balance loads or set rules such as shedding non-critical loads above a consumption threshold.

Send us a message through our contact form with what you’re building, where it will operate and your timeline. We’ll schedule a technical discovery call, then send a scoped, phased proposal, so you can begin with an architecture study or prototype and commit to production later.

Yes. We can own the whole system as a Team-in-a-Box, or take a defined piece (the power stage, the firmware, the cloud pipeline, the AI model) and work inside your repositories, toolchains and design reviews.

Yes. We carry designs from prototype through DFM and DFT reviews, test-fixture and end-of-line test development, pilot builds and full-scale production support.