Bridges are exposed to environmental changes and dynamic loading from road traffic. Periodic inspection alone may not capture short-term changes in vibration behaviour or nearby water conditions. This paper presents an integrated prototype framework for infrastructure monitoring that combines camera-based observation of a water-level reference, vibration sensing, auxiliary environmental measurement, edge processing and a local warning interface. The framework is organised into sensing, edge analysis, wireless communication and alert-actuation stages. Image observations are processed to support water-level estimation, while vibration measurements are summarised using statistical descriptors to support condition monitoring. A separate embedded controller operates visual and audible indicators in response to configured monitoring states. The contribution of this work is the integration of complementary monitoring channels within a low-cost, edge-oriented prototype. The paper intentionally omits implementation-sensitive information, including detailed hardware configurations, circuit assignments, model artefacts, internal parameter values and communication settings. The current work demonstrates the design and functional integration of the prototype; quantitative field validation, calibrated reference measurements and long-duration reliability testing remain necessary. No numerical detectionaccuracy or structural-damage-classification claim is made.

Mr. T. Raghavendra Gupta, P. Komal Kelly, "An Integrated IoT and Vision-Based Framework for Bridge Health and Environmental Monitoring" International Journal of Scientific Research and Engineering Development, V9(6): Page(228-233) November - December 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.