IoT based Harbour Surveillance Aqua Guard RC Canoe

India’s harbour ecosystems face significant environmental and security risks that require constant attention. The current surveillance system involves manual supervision and less than basic threshold alerted detection to critical events with limited integration of harbour environmental monitoring. Thus, this thesis proposes an IoT anomaly detection system that amalgamates environmental monitoring and real-time surveillance monitoring management. Aqua Guard RC Canoe is proposed to monitor the harbour area that can generate data for anomalies and threats present due to environmental sensors like pH, turbidity, anemometer, temperature, humidity, ESP32 camera, and GPS. It delivers the seamless interconnectivity of sensory devices, transmission, and integration on the IoT network. When an anomaly is detected, the system will be configured to raise alarms and generate visual evidence to initiate a swift response mechanism to the anomaly. For flexible and real-time monitoring of various spots in the harbour, it will be mounted on a remote-controlled mobile boat. A more proactive flow of decisions for risk mitigation is expected from the aggregation and surveillance data as well as environmental parameters to get a balanced view of the conditions of the harbour.