Company: Shree Kay Vee Automation Location: Chennai Department: Technical / Applications Job Type: Full Time – Work from Office Customer Site Visits Key ResponsibilitiesUnderstand customer inspection and automation requirements. Conduct application studies at customer sites.

Select suitable: Machine vision cameras Lenses Lighting Sensors Controllers Borescopes / inspection equipment Configure and commission machine-vision systems.

Develop basic vision applications for: Presence / absence inspection Defect detection Position/orientation checking Measurement OCR / OCV Barcode / QR code reading Colour inspection Pattern matching Pass / Fail inspection Carry out camera calibration and image optimization. Support integration with PLCs, sensors, actuators and industrial I/O. Conduct customer demos, trials and feasibility studies.

Prepare application reports, technical proposals and BOMs. Support installation, commissioning and troubleshooting. Provide customer training and after-sales technical support. Coordinate with suppliers for complex applications.

Maintain demo equipment and application records.

Machine Vision Knowledge

RequiredCandidate should have at least basic working knowledge of: Industrial cameras – area scan / smart camera basics Lens selection and working distance Lighting techniques Exposure,



gain and focus adjustment Triggering and digital I/O Image processing fundamentals Blob analysis Edge detection Pattern matching OCR / OCV Measurement tools Camera calibration Pass/Fail logic Programming KnowledgeYou do not necessarily need a hardcore software developer. For your current requirement, look for someone comfortable with: Python – basic to intermediate OpenCV – basic image processing Basic C# or C knowledge is an advantage Basic understanding of APIs / SDKs Serial communication / TCP-IP basics Modbus TCP / PLC communication basics Ability to understand sample machine-vision SDK programs For SKVA, I would make Python OpenCV compulsory at basic level , because this will tell you whether the candidate actually understands image-processing logic rather than only operating camera software.

QualificationSuitable backgrounds: BE / B.Tech – ECE EEE Mechatronics Electronics & Instrumentation Robotics & Automation Mechanical Engineering with automation/vision exposure Experience: Fresher to 2 years can work well if the candidate has strong technical interest and practical skills.

Important Personal SkillsLook for someone who: Is comfortable visiting industrial customers. Can communicate technical concepts in straightforward English. Is willing to handle hands-on work. Can troubleshoot systematically. Is interested in cameras, optics, automation and programming. Can independently conduct product demonstrations. Is willing to learn new machine-vision software and hardware. Can prepare proper technical reports.

📌 Application Engineer (Chennai)
🏢 Shree Kay Vee Automation
📍 Chennai