Industrial Vision Systems with Raspberry Pi: Build and Design Vision Products Using Python and Opencv

Industrial Vision Systems with Raspberry Pi: Build and Design Vision Products Using Python and Opencv
Dr. K. Mohaideen Abdul Kadhar completed his Undergraduate degree in Electronics and Communication Engineering and his M.Tech with a specialization in Control and Instrumentation in 2005. In 2015, he obtained a Ph.D. in Control System Design using evolutionary algorithms. He has more than 16 years of experience in teaching and research. His area of interests includes Robust control systems, Optimization techniques, computer vision and image processing, data science, python programming, and working with Raspberry Pi boards. He is currently developing customized industrial vision systems for various industrial requirements. He has been a consultant for several industries in developing machine vision systems for industrial applications, a master trainer, and delivered workshops in the control systems, computer vision, image processing, optimization techniques, data science and Python programming.
G. Anand completed his Undergraduate degree in Electronics and Communication Engineering in 2008 and his Postgraduate Degree (M.E) in Communication Systems in 2011. He has more than 10 years of experience in teaching and research. His areas of interest include Signal Processing, Image processing, Vision system, Python programming, Data science, and Machine Learning. He has also delivered workshops in signal processing, image processing and python programming.
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Dr. K. Mohaideen Abdul Kadhar completed his Undergraduate degree in Electronics and Communication Engineering and his M.Tech with a specialization in Control and Instrumentation in 2005. In 2015, he obtained a Ph.D. in Control System Design using evolutionary algorithms. He has more than 16 years of experience in teaching and research. His area of interests includes Robust control systems, Optimization techniques, computer vision and image processing, data science, python programming, and working with Raspberry Pi boards. He is currently developing customized industrial vision systems for various industrial requirements. He has been a consultant for several industries in developing machine vision systems for industrial applications, a master trainer, and delivered workshops in the control systems, computer vision, image processing, optimization techniques, data science and Python programming.
G. Anand completed his Undergraduate degree in Electronics and Communication Engineering in 2008 and his Postgraduate Degree (M.E) in Communication Systems in 2011. He has more than 10 years of experience in teaching and research. His areas of interest include Signal Processing, Image processing, Vision system, Python programming, Data science, and Machine Learning. He has also delivered workshops in signal processing, image processing and python programming.
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