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DLCV for improving safety in O&G industry (References (page 36:…
DLCV for improving safety in O&G industry
Target
high productivity (?)
improved safety
mitigasi
deteksi api (api <-- open flame)
Prevensi
deteksi api rokok / pemantik
low operational cost (?)
Tools & Techniques
Computer Vision
Deep Learning
machine:
https://www.analyticsvidhya.com/blog/2016/11/building-a-machine-learning-deep-learning-workstation-for-under-5000/
https://aws.amazon.com/rekognition/pricing/
python programing language
Novelty ?
Partners
Pertamina
contact person
contributions
References
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video:
https://arxiv.org/pdf/1603.07839.pdf
https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap
https://github.com/terryum/awesome-deep-learning-papers/blob/master/README.md
page 36: equipment causes, 26% by ignition
Link Title
ignition included: open flame, cigarette/match
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000537/
https://www.azosensors.com/article.aspx?ArticleID=815
https://www.kdnuggets.com/2015/04/inside-deep-learning-computer-vision-convolutional-neural-networks.html
https://hal.inria.fr/hal-01181626/document
http://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf
komersil:
http://www.sasken.com/sites/default/files/files/white_paper/Sasken_Whitepaper_Computer%20Vision%20based%20Fire%20Detection%20System.pdf
https://arxiv.org/pdf/1703.10729.pdf
Problem
Hazards --> high cost
need safety