Low power consumption, low noise, and high biomimicry, known as the “Underwater Phantom”
Biomimetic jellyfish robot developed by Northwestern Polytechnical University
Adaptable to five major fishery scenarios
1. Fish school dynamic monitoring scenario
With the help of a miniature camera and embedded AI chip, the robot can “silently” hover in nearshore aquaculture areas, performing real-time identification and counting of fish density, health status, and behavioral trajectories, providing data for precise feeding and disease warning.
2. Water quality and ecological environment assessment scenario
The robot can conduct long-term covert patrols around net cages or natural fishing grounds, collecting key water quality parameters such as water temperature and turbidity. Combined with AI analysis, it can timely detect pollution or hypoxia risks, helping fishermen take early measures such as oxygenation and water replacement.
3. Covert anti-theft and foreign invasion inspection scenario
Being fully transparent and extremely low noise allows it to monitor illegal fishing and poisoning activities at night or under limited visibility conditions; it can also identify invasive species such as cleaner wrasses and lionfish, sending alerts for timely removal.
4. Benthic and bait organism survey scenario
Utilizing stable hovering and precise target recognition capabilities, the robot can dive to the bottom to capture images of sea cucumbers, shellfish, and bait organism distribution, assessing resource quantities to guide reasonable fishing and artificial release.
5. Low-cost, long-duration data collection scenario
With a total power consumption of only 28.5 milliwatts, it is suitable for deploying multiple nodes to form a mobile sensing network, providing high spatiotemporal resolution data support for fishery research and management.
Source: Northwestern Polytechnical University