This submission belongs to the session S3. Sensor Networks, IoT, Smart Cities and Health Monitoring of the event The 12th International Electronic Conference on Sensors and Applications
Published date
07 Nov, 2025
Academic Editor
Francisco Falcone
Citation
Timothy Malche, Scalable Sewer Fault Detection and Condition Assessment using Embedded Machine Vision, in Proceedings of The 12th International Electronic Conference on Sensors and Applications, 12 November–14 November 2025, MDPI: Basel, Switzerland, doi: 10.3390/ECSA-12-26508
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Scalable Sewer Fault Detection and Condition Assessment using Embedded Machine Vision
Timothy Malche 1
1. Department of Computer Applications, Manipal University Jaipur, Jaipur, Rajasthan, India