Aquaculture Camera Controller for Dynamic Feeding Behavior Observation
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Solution Overview
Problem
Manual camera control in aquaculture systems is inefficient due to human factors such as attention span and weather conditions, leading to suboptimal monitoring of fish feeding behavior, which affects feed consumption and waste reduction.
Innovation Solution
An automated camera control system that determines the optimal camera position based on image analysis to observe fish feeding behavior, adjusting its position to ensure accurate monitoring and controlling feed distribution accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual camera control is used, then human operators can monitor fish feeding behavior, but monitoring quality is affected by human factors such as attention span and weather conditions
Solution Approach 1:
The camera control system operates autonomously without human intervention. The processor automatically analyzes images, detects feeding behavior patterns, and controls camera positioning and feed distribution based on observed data, making the system self-sufficient and eliminating dependency on human operators
Solution Approach 2:
The patent replaces manual mechanical camera control with an automated system that uses image processing and computer vision algorithms. The processor substitutes human visual monitoring with automated image analysis to detect feeding behavior, replacing the mechanical aspect of human operation with electronic control
2Measurement precision
If the camera is positioned too far from feeding livestock, then the field of view is wide, but feeding behavior cannot be observed
Solution Approach 1:
The camera positioning is dynamic rather than static. The system automatically adjusts camera position based on real-time analysis of feeding behavior patterns. When fish are detected feeding, the camera moves to optimal positions to capture detailed feeding behavior while maintaining appropriate field of view, allowing the system to adapt to changing monitoring needs
Solution Approach 2:
The system applies different monitoring strategies to different spatial zones. Rather than maintaining a single fixed camera position, the system positions the camera locally near feeding groups when detailed behavior observation is needed, and adjusts positioning based on the specific location and density of feeding fish, providing localized high-quality observation where needed
3Measurement precision
If the camera is positioned too close to feeding livestock, then detailed views are obtained, but a single livestock may block the entire view
Solution Approach 1:
The camera dynamically adjusts its distance from feeding fish based on real-time conditions. When a single fish dominates the frame, the system automatically repositions the camera to restore appropriate viewing distance, ensuring continuous optimal observation of feeding behavior without manual intervention
Solution Approach 2:
The system uses feedback from continuous image analysis to adjust camera positioning. The processor monitors the proportion of fish versus background in each frame and automatically adjusts camera distance to maintain optimal viewing conditions, ensuring that feeding behavior remains clearly visible without individual fish blocking the entire view
4Measurement precision
If automated camera control is implemented, then feeding behavior determination accuracy improves, but system complexity increases
Solution Approach 1:
The camera system performs multiple functions: it captures images for feeding behavior analysis, monitors fish position and density, detects feeding patterns, and controls feed distribution. By making the camera system universal and multi-functional, the patent reduces the need for separate specialized devices, thereby managing complexity while maintaining high measurement precision
Solution Approach 2:
The system merges camera control, image processing, behavior analysis, and feed distribution control into an integrated automated system. The processor combines multiple functions including image capture coordination, feeding behavior detection algorithms, and feed release control into a single unified system, reducing overall system complexity through functional integration
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for controlling a camera to observe aquaculture feeding behavior. In some implementations, a method includes moving a camera to a first position, obtaining an image captured by the camera at the first position, determining a feeding observation mode, and based on the feeding observation mode and analysis of the image, determining a second position to move the camera.