Industrial Automation background
IndustrialAutomation
  • SCADA system development

    SCADA system development

  • PLC programming and integration

    PLC programming and integration

  • Industrial IoT solutions

    Industrial IoT solutions

  • Process control systems

    Process control systems

  • Predictive maintenance systems

    Predictive maintenance systems

Technologies Used

PLC ProgrammingSCADAIoT ProtocolsEdge ComputingOPC UAModbus

Success Stories

Automated Parcel Management in Factory

Automated Parcel Management in Factory

We revolutionized factory logistics by developing an intelligent automated parcel management system that seamlessly integrates RFID and barcode scanning technologies with advanced conveyor control systems. Our real-time tracking algorithms enable precise inventory management and automated sorting, dramatically reducing manual handling errors by 85% while significantly improving overall throughput efficiency. The solution transforms traditional warehouse operations into a streamlined, error-free logistics ecosystem.

HMI Software Development

HMI Software Development

We engineered intuitive Human-Machine Interface solutions that transform how operators interact with industrial equipment. By leveraging SCADA systems, advanced touchscreen interfaces, and real-time data visualization capabilities, our HMI software dramatically enhances operator productivity while reducing training time by 40%. The result is a more efficient, user-friendly control environment that empowers operators to make faster, more informed decisions.

Sinumerik Software Development for CNC

Sinumerik Software Development for CNC

We developed advanced CNC machine programming and control software on the Siemens Sinumerik platform, delivering unprecedented precision and efficiency in manufacturing operations. Through sophisticated G-code optimization and intelligent tool path algorithms, our solution improves machining precision while dramatically reducing setup times for complex manufacturing operations. This enables manufacturers to achieve higher quality outputs with faster production cycles.

Industrial Protocol Development

Industrial Protocol Development

We created robust, standardized communication protocols that bridge the gap between diverse industrial systems, enabling seamless data exchange across heterogeneous equipment. By implementing industry-standard protocols including Modbus, Profinet, OPC-UA, and Ethernet/IP, our solution ensures reliable, interoperable communication that transforms isolated systems into a unified, connected industrial ecosystem.

Edge Device Software Development

Edge Device Software Development

We developed intelligent edge computing solutions that bring real-time data processing directly to the factory floor, reducing cloud dependency by 70% while achieving sub-millisecond response times for critical operations. Built on ARM/x86 embedded systems with containerized applications and real-time operating systems, our edge platform delivers local data analytics, offline operation capability, and secure edge-to-cloud communication, ensuring continuous operations even when connectivity is limited.

Industrial IoT (IIoT)

Industrial IoT (IIoT)

We implemented comprehensive IoT ecosystems that transform traditional factories into smart, connected operations. By deploying sensor networks, MQTT/CoAP protocols, time-series databases, and cloud integration, our solution delivers 360° visibility into production processes and enables truly data-driven decision making. The platform encompasses asset tracking, environmental monitoring, energy optimization, and remote diagnostics, creating a holistic view of manufacturing operations.

Predictive Maintenance

Predictive Maintenance

We implemented AI-driven predictive maintenance systems that revolutionize equipment management by preventing failures before they occur. Leveraging IoT sensors, advanced machine learning algorithms, vibration analysis, and thermal monitoring, our solution reduces unplanned downtime by 60% and maintenance costs by 35%. The system continuously learns from equipment behavior patterns, enabling proactive maintenance scheduling that maximizes equipment lifespan and operational efficiency.

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