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Title: :  Automated Detection of Structural Anomalies Using Object Tracking Techniques
PaperId: :  25369
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25369
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Praveen Venkumahanti Gmrit
Vamsi Cheekati Gmrit
Manohar Tammisetti Gmrit

Abstract

Computer Engineering
Structural Anomaly Detection, Object Tracking Techniques, Automated Inspection, YOLO, Detectron2, Structural Defect Identification.
Buildings, pavements, and bridges, among others - are the cornerstones of modern infrastructure. These are exposed to degradation from various environmental conditions, material fatigue, and usage patterns. This often evolves into developing defects over time. Therefore, early detection of these anomalies is critical in ensuring safety, longevity, and economic viability. This is a very important task of civil engineering as detection of defects in time may prevent probable failures. Common anomalies include cracks in buildings, potholes in pavements, corrosion in bridges, and other structural defects. Inspections by the conventional approach are manual, time-consuming, and liable to human mistakes. An automated and efficient approach must be identified to detect these anomalies at an early stage. This project develops an automated system that detects anomalies in buildings, pavements, and bridges in civil engineering structures early, using advanced image segmentation techniques. We first collect images from the web and then create a custom dataset to train and evaluate segmentation models like YOLO and Detectron2. Such models will be fine-tuned for the more accurate identification and segmentation of structural anomalies so that maintenance interventions can be implemented on time and with accuracy. The implementation of image segmentation will not only increase the precision and efficiency of defect detection but will also improve the safety and durability of civil engineering structures. This project aims to provide infrastructure management with an extentable solution, given the automation of the inspection process in order to detect potential issues at an early stage and also extend the lifetime of such structures.

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IJARIIE Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . "Automated Detection of Structural Anomalies Using Object Tracking Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 801-813
MLA Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . "Automated Detection of Structural Anomalies Using Object Tracking Techniques." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 801-813.
APA Praveen Venkumahanti , Vamsi Cheekati , & Manohar Tammisetti . (2024). Automated Detection of Structural Anomalies Using Object Tracking Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 801-813.
Chicago Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . "Automated Detection of Structural Anomalies Using Object Tracking Techniques." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 801-813.
Oxford Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . 'Automated Detection of Structural Anomalies Using Object Tracking Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 801-813. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Automated_Detection_of_Structural_Anomalies_Using__Object_Tracking_Techniques_ijariie25369.pdf (Accessed : 21 March 2025).
Harvard Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . (2024) 'Automated Detection of Structural Anomalies Using Object Tracking Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 801-813IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Automated_Detection_of_Structural_Anomalies_Using__Object_Tracking_Techniques_ijariie25369.pdf (Accessed : 21 March 2025)
IEEE Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti , "Automated Detection of Structural Anomalies Using Object Tracking Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 801-813, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Automated_Detection_of_Structural_Anomalies_Using__Object_Tracking_Techniques_ijariie25369.pdf [Accessed : 21 March 2025].
Turabian Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . "Automated Detection of Structural Anomalies Using Object Tracking Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 (21 March 2025).
Vancouver Praveen Venkumahanti , Vamsi Cheekati , and Manohar Tammisetti . Automated Detection of Structural Anomalies Using Object Tracking Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 21 March 2025]; 10(6) : 801-813. Available from: https://ijariie.com/AdminUploadPdf/Automated_Detection_of_Structural_Anomalies_Using__Object_Tracking_Techniques_ijariie25369.pdf
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