Building Robust Industrial Solutions with Smart Sensors, Modern PLC Platforms, Robotics, and Cloud Technologies
Advanced PLC programming with IEC 61131-3 standard support. Logic design, simulation, and real-world deployment with comprehensive debugging capabilities.
Professional automation programming environment for Allen-Bradley controllers. Complete system integration with HMI development and advanced control strategies.
Intelligent sensor integration with IO-Link connectivity. Smart device management, predictive maintenance, and seamless PLC communication protocols.
Advanced vision sensors and detection systems for quality control and automation
High-precision servo press systems with integrated force and position monitoring
JXC91 series actuators with advanced positioning and feedback control
IO-Link enabled smart sensors with predictive maintenance capabilities
Integrated diverse industrial sensors including Keyence (vision & detection), Promess (servo press systems), SMC actuators (JXC91 series), and IFM smart devices via IO-Link for comprehensive automation solutions.
Advanced collaborative robotics integration with safety systems, precision positioning, and seamless human-robot interaction for flexible manufacturing applications.
Intelligent part feeding system with vision-guided orientation and sorting capabilities. Integrated with Universal Robots for complete pick-and-place automation solutions.
Current project features a Universal Robots collaborative arm interfaced with Keyence Vision Systems and ARS Automation's Flexibowl for part feeding and pick-and-place automation with advanced safety protocols.
Real-time data transmission from PLC systems to cloud infrastructure using MQTT protocol. Reliable messaging with QoS levels and secure authentication for industrial applications.
Scalable cloud infrastructure with AWS Lambda functions and IoT Core services. Streamlit dashboards for real-time monitoring and data visualization of industrial processes.
Simulated full industrial telemetry flow from PLC → MQTT → AWS IoT Core using AWS Lambda and visualized data with Streamlit Dashboards. Demonstrated scalable IIoT data pipelines for real-world deployment scenarios.
Developed and validated complete control sequences using CodeSys simulation environment and Studio 5000 Emulator. Extensive testing performed before live deployment to ensure seamless operation, reduced downtime, and optimal performance in production environments.