Abdullah Shams, André Schekelmann, Wilhelm Mülder. A proof of concept for providing traffic data by AI based computer vision as a basis for smarter industrial areas. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40 2022) / Affiliated Workshops, March 22-25, 2022, Porto, Portugal. Volume 201 of Procedia Computer Science, pages 239-246, Elsevier, 2022. [doi]
@inproceedings{ShamsSM22,
title = {A proof of concept for providing traffic data by AI based computer vision as a basis for smarter industrial areas},
author = {Abdullah Shams and André Schekelmann and Wilhelm Mülder},
year = {2022},
doi = {10.1016/j.procs.2022.03.033},
url = {https://doi.org/10.1016/j.procs.2022.03.033},
researchr = {https://researchr.org/publication/ShamsSM22},
cites = {0},
citedby = {0},
pages = {239-246},
booktitle = {The 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40 2022) / Affiliated Workshops, March 22-25, 2022, Porto, Portugal},
editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
volume = {201},
series = {Procedia Computer Science},
publisher = {Elsevier},
}