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@article{205667,
        author = {Pratiksha More and Pooja Patil and Vrushali Shinde and Gayatri Bogawar and Dr. S. P. Pingat},
        title = {Enhancing Damage And Collapse Alert System For Bridges},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {7940-7949},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205667},
        abstract = {Bridge failures remain a critical public safety concern, often occurring with little warning and resulting in loss of life and severe disruption to transportation networks. Traditional bridge inspection methods rely heavily on periodic manual assessments, which are time-consuming, limited in scope, and unable to provide real-time alerts during emergencies. This paper presents a smart, IoT-based bridge health monitoring system designed to detect structural damage, measure water levels, and identify collapse conditions in real time. 
The proposed system integrates an Arduino microcontroller with an accelerometer, water level sensor, and camera module to continuously monitor bridge conditions. When abnormal vibration patterns or dangerous water levels are detected, the system automatically lowers road barriers, triggers buzzer alerts, and sends instant notifications to nearby government authorities including police stations, hospitals, and the Public Works Department (PWD). Bridge images captured by the camera sensor are stored on a cloud platform (Salesforce) for further analysis by authorized personnel. In the event of a collapse, the system also broadcasts real-time alternate route information to travellers within a 5 km radius. The system was built and tested on a physical prototype, demonstrating reliable detection and notification capabilities. This work contributes a cost-effective, automated solution to a long-standing infrastructure safety challenge, with practical potential for deployment on rural and urban bridges alike.},
        keywords = {Structural Health Monitoring (SHM), Internet of Things (IoT), Bridge Collapse Detection, Smart Bridge Monitoring, Arduino UNO, Accelerometer Sensor, Water Level Sensor, Crack Detection, Emergency Alert System, Cloud Computing, Wireless Sensor Networks, Infrastructure Safety.},
        month = {June},
        }