SAS Middle East FZC

German engineering, built in the UAE

With SAS IntelliLink, AI can see and feel.

SAS IntelliLink™ AI Hardware Interface

Industrial Hardware Interface for Machine Learning, Sensor Fusion & Real-Time Signal Acquisition

Bridge any machine signal — analog, digital, or industrial bus — to your AI platform. One device, any environment, any equipment generation.

Product Overview

The SAS IntelliLink AI Hardware Interface is a precision-engineered signal acquisition and conversion unit that bridges legacy and modern industrial equipment directly to AI and machine learning platforms. It reads analog, digital, and industrial bus signals in real time and delivers clean, standardized data streams to your AI model pipeline — without requiring PLC replacements or custom firmware.

Why this matters: AI projects fail when signal quality is unstable, incomplete, or delayed. If your goal is reliable prediction, automation, and process optimization, this interface is the critical hardware layer that makes your AI data trustworthy from day one.

In simple terms: if you want production-grade AI results, you need production-grade signal integration. The SAS IntelliLink AI Hardware Interface is not an accessory — it is the core link between your machines and your AI platform.

Analog Signal Acquisition 0–10 V, 4–20 mA, ±10 V inputs. 16-bit resolution with programmable scaling and hardware filtering.
Digital I/O Channels 24 VDC logic inputs and outputs. Pulse counter modes, interrupt-driven event capture, fast edge detection.
Industrial Protocol Support CANopen, Modbus RTU/TCP, EtherCAT, PROFINET, PROFIBUS DP, Ethernet/IP, OPC UA, MQTT and more.
AI-Ready Output Low-latency, normalized data streams for direct ML model input, edge inference, and cloud analytics pipelines.
Legacy Hardware Compatible Works with equipment from the 1980s to today. Analog sensors, older PLCs, and modern fieldbuses all supported.
Fully Configurable Channel count, protocol stack, and data rates configured per project. No standard unit — built for your machine.
Custom Inputs & Protocols Need a non-standard sensor type or protocol combination? We define and implement custom input mapping and communication profiles to match your exact application.

Signal Support

Signal Type Specifications & Details
Analog Signals 0-10V, 4-20mA, ±10V ranges. 16-bit resolution with programmable input scaling and filtering.
Digital Signals 24VDC logic inputs/outputs. Fast pulse detection, counter/timer modes, interrupt-driven processing.
CANopen Full CANopen master/slave support. Object Dictionary (OD) mapping, emergency (EMCY) messages, NMT modes.
Modbus RTU / TCP Bidirectional Modbus master and slave. Coils, discrete inputs, holding registers, input registers with fast polling.
EtherCAT EtherCAT slave mode. Synchronized real-time data, cycle times down to 1ms, deterministic latency.
Ethernet/IP Explicit messaging and I/O connections. Adapter or scanner mode, compatible with Rockwell and AB ecosystems.
PROFINET PROFINET IO Device. Real-time Ethernet (RT), isochronous mode, integrated SNMP monitoring.
PROFIBUS DP PROFIBUS DP slave. Master/multi-master capable, diagnostic messages, high-speed polling (12 Mbaud).
Temperature & Motor Sensors Supports PT100/PT1000, Ni1000, NTC (including motor NTC), KTY81/KTY83/KTY84, and thermocouple types K/J/T/N/E/R/S/B with configurable scaling and filtering.
Custom Sensor / Protocol Mapping Non-standard sensor types, mixed signal architectures, and project-specific protocol mapping can be implemented for retrofit and new-build applications.

No reliable AI deployment is possible without correct signal integration.

How Integration Works

  1. Signal mapping workshop: We review your machine I/O, voltage levels, protocol stack, and AI data objectives.
  2. Hardware profile definition: Channel count and protocol interfaces are selected for your exact operation requirements.
  3. Interface commissioning: SAS engineers deploy and validate real-time data flow from equipment to analytics layer.
  4. AI/ML handover: Cleaned and standardized data is delivered to your edge/cloud model pipeline for inference and monitoring.

Deployment Models

Edge Processing

Low-latency acquisition and preprocessing near equipment for fast anomaly detection and control feedback.

Cloud Analytics

Stream selected channels to cloud dashboards and predictive models for multi-site visibility and reporting.

Hybrid Architecture

Combine local control-critical logic with cloud-level optimization and KPI benchmarking.

Secure Industrial Networking

Segmentation, protocol validation, and encrypted transport for production-safe AI data operations.

Key Features

AI Ready

Outputs standardized, low-latency data streams suitable for real-time ML inference and edge AI processing.

Multi-Protocol Bridge

Seamlessly converts between analog, digital, and industrial buses without custom firmware modifications.

Legacy Compatible

Works with vintage and modern equipment alike. Analog sensor input from 1980s hardware, CANopen from 2020s systems.

Predictive Maintenance

Aggregate multi-source signals for anomaly detection and failure forecasting using ML models.

Applications

  • Machine Vision Pre-Processing: Condition analog signals from lighting and focus systems for real-time vision pipelines.
  • Sensor Fusion: Combine diverse sensor inputs (pressure, temperature, vibration, current) into unified feature vectors for ML models.
  • Predictive Maintenance: Collect operational signals from equipment, train anomaly detection models, receive early warnings before failures.
  • Process Control Optimization: Feed real-time signals to reinforcement learning agents that optimize production parameters on the fly.
  • Industry 4.0 Migration: Bridge brownfield installations to IIoT platforms without replacing existing hardware.
  • Quality Assurance: Real-time monitoring of process variables with ML-based quality scoring and alerting.

Configuration & Customization

Every installation is unique. SAS engineers configure the AI Interface for your specific signals, communication protocols, and data rates:

  • Channel Selection: Choose the number of analog, digital, and network input/output channels.
  • Protocol Stacks: Enable only the protocols your equipment needs (CANopen, Modbus, EtherCAT, etc.).
  • Data Rate Optimization: Tune polling frequencies and buffer sizes for low-latency or high-volume scenarios.
  • Edge AI Integration: Pre-process sensor data locally using embedded models, reducing bandwidth and cloud costs.
  • Security & Validation: SSL/TLS encryption, input validation, and audit logging for industrial environments.

Pricing & Quotation

The SAS IntelliLink AI Interface is a custom-engineered product. Pricing depends on:

  • Number and type of signal channels (analog, digital, network)
  • Communication protocols required
  • Data acquisition rate and processing latency requirements
  • Edge AI model integration and preprocessing complexity
  • Integration scope and on-site configuration

To get a custom quotation, please contact our sales team.

Why Choose SAS IntelliLink?

German Engineering

Precision design and rigorous testing for industrial-grade reliability in challenging environments.

Local Support

Based in the UAE with on-site configuration, training, and ongoing technical support.

Commercial note: Site visits, system integration, commissioning, and training are professional paid services and are quoted separately based on scope.

AI Expertise

Our team brings machine learning experience alongside industrial automation engineering.

Flexible Integration

Works with your existing systems, no rip-and-replace required.

Next Steps

Ready to bring AI-powered insights to your industrial equipment?