A Computer Vision-Based Approach for Automated Inspection of Cable Connections
The goal of the project was to develop an algorithm based on a Convolutional NeuralNetwork(CNN) for automatically detecting exposed metal components on coaxialcable connections, a.k.a. the detector. We show that the performance of such a CNN trained to identify bad weatherproofings can be improved b...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448446 |