The seabed terrain classification and recognition system is a software suite independently developed by the POET for automatic classification and recognition of common seabed terrain and landforms, including sample classification and recognition training system as well as image display and marking system. The software suite uses machine learning algorithm to classify, recognize and display seabed targets. The system supports standard sonar data format and has a friendly visual interface.

Underwater optical identification system is an automatic identification software suite for underwater optical targets independently developed by surging ocean. The software suite uses a deep learning algorithm to identify underwater targets at close range. The system supports standard underwater video data format and has a friendly visual interface.

The POET has a domestic leading multi AUV cooperative detection technology system. The system integrates: autonomous underwater target recognition technology based on machine learning;

PX series auv/rov products have the characteristics of modularization, high reliability, convenient deployment and recovery, and can carry a variety of detection loads such as ADCP, multi beam sonar, side scan sonar, CTD, turbidity meter, pH meter, camera, shallow section sonar, etc. Surging ocean provides customers with a variety of exclusive marine engineering services, including equipment leasing, business survey data acquisition, underwater search, rescue and salvage, etc.

Support customized development and project cooperation of software and hardware systems such as marine unmanned systems and sensors, electromagnetic coupling transmission, fluid simulation, autopilot software, advanced intelligent algorithms, simulation systems, etc.

The POET's PX-S series shore-based monitoring system is a comprehensive underwater equipment monitoring system.