Automated Fish Feeder with Cognitive Capabilities
Granted · Intellectual property
A deep-learning fish feeder that doses feed by species behaviour and age.
The inventor’s description focuses on Tilapia feeding patterns and age-informed dosing. The mechanism combines an Archimedes screw, geared DC motor, and ESP32-based power-management PCB to move feed from a hopper.
The described mounting base uses tighteners and accommodates modular capacity expansion. The mechanism matters as much as the control idea: turning a feeding instruction into a repeatable quantity depends on the feed path and motor operation.
The design is recorded as 407380-001. The interactive sketch explains the proposed sequence; the public material used here does not provide a dosing-accuracy benchmark or a validated deep-learning result.
Turn a feeding plan into a measured action.
The inventor’s description relates the feeding approach to fish behaviour and age.
Conceptual mechanism based on the inventor’s description; no feeding accuracy or model-performance result is available here.
Record 407380-001 · Status as recorded in the portfolio. Look up the current record at IP India ↗
Inventor’s project and patent descriptions ↗- Design patent
- Aquaculture
- ESP32