IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
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http://10.1.7.192:80/jspui/handle/123456789/12421| Title: | Road Condition Monitoring Using IOT & Analytics |
| Authors: | Agrawal, Rutvik |
| Keywords: | Computer 2022 Project Report Project Report 2022 Computer Project Report 22MCE 22MCEC 22MCEC01 |
| Issue Date: | 1-Jun-2024 |
| Publisher: | Institute of Technology |
| Series/Report no.: | 22MCEC01; |
| Abstract: | This project explores pothole identification utilizing innovative approaches in the dynamic field of smart infrastructure. In order to determine how well state-of-the-art object detection models—YOLOv8, Faster R-CNN, SSD-MobileNetV2, and RetinaNet identify road flaws, the study thoroughly compares them. The investigation offers a comprehensive answer by smoothly integrating Internet of Things(IoT) technology, going beyond algorithmic prowess. The combination of these technologies results in a novel method for seeing identified potholes together with their exact positions in a mobile application. In addition to improving road maintenance, this smooth integration of cutting-edge computer vision, Internet of Things connectivity, and intuitive visualization paves the way for an intelligent and participatory urban infrastructure paradigm. |
| URI: | http://10.1.7.192:80/jspui/handle/123456789/12421 |
| Appears in Collections: | Dissertation, CE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 22MCEC01.pdf | 22MCEC01 | 7.5 MB | Adobe PDF | View/Open |
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