Arthropod Sensor Triggers Camera to Cut Energy
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Solution Overview
Problem
Current methods for detecting and monitoring arthropods in agricultural areas are labor-intensive, prone to errors, and require frequent human intervention, leading to increased energy consumption and unnecessary image capture and analysis.
Innovation Solution
A system comprising a collecting region, imaging unit, transmitter unit, and sensor that detects physical properties correlating with arthropod presence, triggering image capture and transmission only when arthropods are likely present, thereby optimizing image generation and transmission based on probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous image capture is performed to detect arthropods, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The sensor performs preliminary detection of arthropods before the imaging unit captures images. This preliminary action filters out false positives and ensures that imaging only occurs when arthropods are actually present, thereby maintaining detection reliability while reducing unnecessary energy consumption from continuous imaging.
Solution Approach 2:
The sensor continuously monitors the collecting region to detect arthropod presence, while the imaging unit operates intermittently based on sensor triggers. This ensures continuous detection capability through the sensor while the imaging unit's useful action is concentrated only when needed, optimizing the balance between reliability and energy consumption.
2Measurement precision
If frequent image capture and transmission is performed, then monitoring accuracy is improved, but energy consumption increases
Solution Approach 1:
The sensor provides feedback about arthropod presence to the control unit, which then decides whether to trigger image capture and transmission. This feedback mechanism ensures that monitoring accuracy is maintained by capturing images only when arthropods are detected, while avoiding unnecessary energy consumption from frequent transmissions of empty or irrelevant images.
3Measurement precision
If manual counting of arthropods in traps is performed, then identification accuracy is improved, but labor intensity increases
Solution Approach 1:
Instead of manually counting and identifying arthropods in physical traps, the system creates digital copies (images) of the collecting region contents. These digital copies can be analyzed automatically or remotely, maintaining identification accuracy while significantly reducing labor intensity and the need for frequent manual intervention.
4Reliability
If traps are monitored manually, then detection reliability is improved, but time consumption increases
Solution Approach 1:
The system performs self-monitoring through the sensor and automated image capture mechanism. The sensor continuously detects arthropods and triggers appropriate actions without requiring human intervention, thereby maintaining detection reliability while eliminating the time consumption associated with manual trap monitoring and inspection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces unnecessary image capture and analysis, lowers energy consumption, and allows for efficient monitoring of arthropods, enabling more accurate and timely detection of pests and beneficials in agricultural areas.
Implementation Method 1
the sensor is configured to detect a physical property in its environment that correlates with the probability of the presence of an arthropod in the collecting region, and convert the property detected to a signal
Data Source
AI summary
The present disclosure relates to the sensor based observation of arthropods in a region where plants grow. The subject matter of the present disclosure is a device, system, method and computer program product for the sensor based observation of arthropods, by means of a camera.