App Developer Intern – Machine Vision and Automation

Job Description

Are you passionate about cutting-edge technologies and looking to gain hands-on experience in machine vision and industrial automation? At Volcan Vision and Automation , we are seeking a talented App Developer Intern to help create a desktop application for machine vision systems. Responsibilities: Develop a desktop application to interface with machine vision cameras and PLCs. Integrate image acquisition from machine vision cameras into the application. Implement Python-based deep learning models for real-time image inspection. Establish Ethernet communication between the application and Delta PLC for data exchange. Display input images, inspection results, and real-time feedback on the application interface. Debug and optimize application performance for industrial deployment. Required Skills: Qualifications - 3rd/Final Year Student Programming Languages : Proficiency in Python, with knowledge of libraries like OpenCV, TensorFlow, or PyTorch. Desktop App Development : Familiarity with frameworks like PyQt, Tkinter, or .NET for building graphical user interfaces (GUIs). Machine Vision : Understanding of image processing concepts and working with industrial cameras. Deep Learning : Experience in integrating and deploying trained models for image inspection. Networking : Knowledge of Ethernet communication protocols for interfacing with PLCs. Industrial Automation : Basic understanding of PLCs and industrial communication standards. Preferred Qualifications: Prior experience with developing desktop apps. Knowledge of Computer Vision Algorithms Knowledge of Network Engineering Perks and Benefits: Completion Certification : Recognizing your contribution to our innovative projects. Bonuses : Performance-based financial incentives. Learning Opportunities : Gain hands-on experience in machine vision, automation, and AI. Networking : Collaborate with experienced professionals in a growing industry. Duration: The internship duration is 5-6 months , with the possibility of extending or converting into a full-time opportunity based on performance. Please attach some examples of the desktop applications you have successfully completed as part of your application. Showcasing your previous work will help us evaluate your skills and suitability for the role. Location: On-site/Remote/Hybrid (specifics based on mutual agreement). Ready to take on this exciting challenge and accelerate your career in machine vision and automation? Apply now and be part of our innovative journey! Show more Show less