SYSTEM FOR COLLECTING AND ANALYZING PHOTOS FROM STREET CAMERAS USING MACHINE LEARNING
DOI:
https://doi.org/10.24867/08BE34NikolicKeywords:
Elasticsearch, machine learning, microservices, object detectionAbstract
This paper describes the distributed architecture and implementation of the system for collecting and analyzing photos from street cameras using machine learning model for object detection based on convolutional neural networks.
References
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[3] R. Girshick, „Rich feature hierarchies for accurate object detection and semantic segmentation,“ 2014.
[4] R. Girshick, „Fast R-CNN,“ 2015.
[5] S. Ren, „Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,“ 2016.
[6] „The C4 model for visualising software architecture,“ [Na mreži]. Available: https://c4model.com/. [Poslednji pristup Novembar 2019].
[7] „Common objects in context,“ [Na mreži]. Available: http://cocodataset.org/. [Poslednji pristup Novembar 2019].
[8] „Webcams.travel,“ [Na mreži]. Available: https://www.webcams.travel/. [Poslednji pristup Novembar 2019].
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Published
2020-05-31
Issue
Section
Electrotechnical and Computer Engineering
