Anesthesia recovery detection system and method in aquatic transportation process based on acoustic multi-domain fusion and generation enhancement
By employing acoustic multi-domain fusion and generative enhancement detection methods, the problems of intelligent and real-time monitoring during fish anesthesia recovery were solved, achieving high-precision monitoring of fish anesthesia recovery status, reducing transportation losses, and improving the survival rate of live fish.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack intelligent, real-time, and high-precision monitoring methods during fish anesthesia and resuscitation, leading to the gradual decline of fish physiological functions and high mortality rates during transportation. Traditional methods also suffer from problems such as response delays, high invasiveness, and scarcity of labeled samples.
A detection method based on acoustic multi-domain fusion and generative enhancement is adopted. Acoustic signals are collected through hydrophones, and a lightweight deep learning model is constructed by combining visual tracking algorithms and generative AI data augmentation to achieve non-invasive monitoring and intelligent prediction of the anesthesia recovery state of fish.
It achieves high-precision, real-time monitoring of the recovery state of fish from anesthesia, with an accuracy of 96.8%, precision of 96.9%, recall of 96.8%, and F1 score of 96.8%. It overcomes the limitations of traditional methods and provides non-invasive, real-time monitoring support for live fish transportation.
Smart Images
Figure CN122408876A_ABST