Machine Vision Engineer
CurrentIn my role, I specialized in developing and optimizing advanced vision inspection systems, integrating automation, and leveraging deep learning to enhance inspection accuracy.Key Responsibilities:1. Advanced Tool Development: Created and improved vision inspection tools (geometry, ROI, shape matching, contamination, blob, intensity) using MvTec Halcon, HDevelop, and HalconDotNet.2. AI & Deep Learning: Enhanced OCR and inspection tools by applying CNNs or MLPs for improved accuracy.3. Client-Centric Solutions: Collaborated closely with clients to troubleshoot, debug, and refine software to meet their unique business logic and inspection requirements.4. Automation Integration: Integrated inspection systems with MES protocols (SECS/GEM, TCP/IP) for end-to-end automation solutions.5. Model Training: Trained models using MIMOS, improving inspection accuracy and performance.6. Turnkey Solutions: Provided end-to-end automation solutions, from system setup to data output, ensuring quality results and operational efficiency for a wide range of industries.Major Projects:1. Automated Image Inspection System: Built a fully automated inspection system, reducing errors and boosting efficiency.2. Contamination Classification: Developed a system to detect and classify contaminations by spatial coordinates.Tools & Technologies:Development: MvTec Halcon, HDevelop, HalconDotNet, C#, WPFPlatforms: Windows x64, x86Version Control Tool: GitAutomation: MES Integration, SECS/GEM, TCP/IPAI: CNN, MLP