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.
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Acknowledgements
The paper is based upon work funded by the Ministry of Electronics and Information Technology (MeitY), Govt. of India under “A Collaborative Intelligent Transportation System Endeavour for Indian Cities—Phase 2” (InTranSE-Phase 2) programme implemented through the Control and Instrumentation Group of CDAC, Thiruvananthapuram, Kerala, India. We thank Dr Satheesh Kumar (Professor, University of Kerala, Kariavattom, Thiruvananthapuram, Kerala, India) for his support in deploying the system in the Department of Futures Studies. This system is proposed to be used for visual inspection of products/process in line with the emerging industrial trends requirements. Powerful vision algorithm libraries help researchers/developers to configure customized vision applications in the imaging and vision development platform.
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Sreedhanya, L.R., Daniel, J.J., Nithin, P.V., Saivam, M. (2023). Imaging and Vision Development Platform with Algorithm Library for Intelligent Vision Systems. In: Thampi, S.M., Mukhopadhyay, J., Paprzycki, M., Li, KC. (eds) International Symposium on Intelligent Informatics. ISI 2022. Smart Innovation, Systems and Technologies, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-19-8094-7_21
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DOI: https://doi.org/10.1007/978-981-19-8094-7_21
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