Enhancing Underwater Tunnel Safety through Smart Inspection: An ROV-based System with AI-Powered Crack Detection using Canny Edge Detection

Developing an ROV for submerged split location in foundation postures noteworthy challenge. This extension presents a novel plan including a two-part ROV with an isolated floater and submersible units. The submersible houses thrusters, drivers, batteries, sensors, and cameras, whereas the floater holds the ESP32 controller for simple get-to. Live video from the camera experiences Canny edge location and machine learning investigation against a split picture dataset, empowering real-time split distinguishing proof and area. Water quality sensors screen temperature, turbidity, and TDS. Blynk app control through ESP32 gives maneuverability. This one-of-a-kind, mechanized ROV plan offers progressed productivity, security, and potential fetched diminishment compared to conventional strategies, advancing crucial framework review.