Machine Vision Internship

OSRAM SYLVANIA is the #1 lighting manufacturer in North America and a worldwide leader in lighting solutions. Our products feature innovative design and energy saving technology. We sell products for homes, businesses and vehicles primarily under the SYLVANIA brand name in the US, and operate under the OSRAM brand in Europe, China and beyond. Around 60 percent of sales come from energy-efficient products The Hillsboro facility develops and manufactures automotive lighting products and distributes globally. OSI Hillsboro has many first-in-the-industry products to its credit, including red neon for brake light applications; amber neon for turn signals; fluorescent for auto interior; high-intensity discharge headlights; plastic headlights; halogen innovations; miniature lights with a wedge base for improved reliability; LED auxiliary / forward lighting, and many others. The facility also houses a laboratory devoted to new innovations in automotive. The project is to work in cooperation with internal machine vision engineers to migrate an internal machine vision (MV) software package from VB6 to VB.net. The MV package operates on the Microsoft Windows operating system. The MV software package is a critical component of an internal MV system used in the production of various lighting product on automated equipment. Some of the MV applications include vision system guided robotics, part measurement and quality inspection. · Under the guidance of senior machine vision engineers, the intern will initially work on compartmentalizing the existing code into appropriate objects, along with testing & validation of newly created objects · The next phase will be to move the objects from VB6 to VB.net and test however, there are paid holidays. Joining our team will provide you with invaluable corporate experience at an international company. We are a wholly owned subsidiary of Siemens AG and are currently engaged in expanding new product lines: many opportunities abound for international employment within our organization upon the conclusion of your internship. With a successfully completed internship, there is an opportunity for a senior project to apply the latest generation of the MV software and hardware to an in-line defect analysis project used to identify good product verses discrepant product based correlation image analysis.