Imaging and Vision Development Platform with Algorithm Library for Intelligent Vision Systems

Abstract

Machine vision applications for intelligent vision systems in manufacturing industries were reported based on image processing and artificial intelligence technology. We propose the imaging and vision development platform in this research for creating vision applications using image processing, machine learning, and a deep learning algorithm library. An algorithm library, vision configurator, execution logic, display manager and deploy manager modules are all included in the proposed platform. This platform is based on an open-source software stack for machine learning and deep learning computer vision technologies including OpenCV, TensorFlow, CUDA, Keras, YOLO and PyTorch. To assess the performance of the suggested platform, real-time applications like vehicle identification, person detection, code scanner, and OCR vision application were developed, validated, and deployed in an embedded system utilizing this platform. The results of the experiments show that the suggested platform can be utilized to evaluate high resolution real-time images and construct vision applications.