Real-time mobile phones defacement capturer. (For insurance claim)
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Publisher
AIP Publishing
Reference15 articles.
1. Zhi-Chao Yuan, Zhengtao Zhang, Hu Su, Lei Zhang. Vision-Based Defect Detection for mobile phone cover glass using deep neural networks. International Journal of Precision Engineering and manufacturing.Vol-18, year (2018). https://link.springer.com/article/10.1007/s12541-018-0096-x.
2. M. Borecki, A. Rychilk, O. Vrublevskyi, A. Olenjnik, M.L. Korwin-Powloski. Method of Non-Invasive determination of wheel rim technical condition using vibration measurement and artificial neural network. (2021),Vol No:185, Issue No: 110050, https://www.sciencedirect.com/science/article/pii/S0263224121009751
3. Reza khoskangini, S. pashami, S. Nowaczyk. Warranty claims rate prediction using logged vehicle data (2019). Vol no:11804 https://link.springer.com/chapter/10.1007/978-3-030-30241-2_55
4. Mengqi Hou, Haixia wang, zechen Xiao, Guilin Zhang. Human motion recognition based on acceleration. (2018). Issue no. 18939541 https://ieeexplore.ieee.org/document/8812394
5. Jiabin Jiang, Pin cao Zichen Lu, Weimin Lou. Surface defect detection for mobile phone back glass based on symmetric CNN deep learning. (2020)
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