Srinivasan Anbarasan

Currently leading and delivering advanced machine vision solutions for large-scale industrial programs, including Symbio Hydrogen Fuel Cells, Volvo Battery Assembly, and MAN Battery Modules, with end-to-end responsibility from concept to commissioning.

Key & Leadership Scope

• • Architect, design, and optimize high-performance 2D and 3D machine vision systems, including complex multi-camera configurations for automated inspection, robot guidance, and quality control applications.

• • Develop and standardize vision system methodologies, including robust calibration techniques, accuracy validation, and repeatability strategies for high precision industrial environments.

• • Conduct feasibility studies, proof-of-concepts (PoCs), and technical evaluations, translating customer requirements into scalable, reliable, and cost effective vision solutions.

• • Integrate vision systems with PLCs, industrial robots, and automated production lines, ensuring seamless communication, synchronization, and system performance.

• • Proficiency in Python and C++, with hands-on experience using vision libraries such as OpenCV, HALCON, and MATLAB.

• • Experience with machine learning and AI-based vision solutions, including model integration for defect detection, classification, and predictive quality systems.

• • Manage and coordinate with suppliers, system integrators, and cross-functional teams, ensuring technical compliance, timely delivery, and successful deployment.

• • Lead commissioning and on-site implementation activities, ensuring smooth system startup, troubleshooting, optimization, and final customer acceptance across global production sites.

• • Program and deploy industrial vision platforms such as Cognex, Keyence, and Comau Vision, ensuring high reliability in automated inspection and robotic guidance applications.

Designed and integrated machine vision systems, increasing defect detection accuracy by 50%.

Developed custom image processing algorithms, reducing error rates by 65%.

Led vision application and library development in Qt C++ for automated inspection systems.

Implemented OPC UA and industrial protocols (Profibus, Profinet, Ethernet/IP, Modbus TCP) for seamless machine connectivity.

Configured IoT devices to enhance real-time data communication and post-processing efficiency.

Developed HMI and control logic using B&R Automation Studio and Siemens TIA Portal.

Collaborated with cross-functional teams to integrate cameras (Basler, Imaging Source) and PLCs for closed-loop process control.

Designing in Solidworks , Catia and Creo.

3D model to Stl file for 3D prininting.

prototyping produts for business