Networked Pest Detection System with Edge Processing
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Solution Overview
Problem
Existing pest detection systems require frequent manual inspections of traps, consume excessive power and data transmission resources, and struggle with efficient processing of high-data sensors like imaging sensors.
Innovation Solution
A networked system with remote units and a central server that processes and analyzes pest detection data, using imaging sensors to determine detection probability locally and verify it remotely, optimizing data transmission and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspections of traps are performed frequently, then detection accuracy is improved, but labor time and operational complexity increase
Solution Approach 1:
The trap system performs self-inspection through integrated imaging sensors and processors that automatically detect pests, eliminating the need for manual inspection while maintaining high detection accuracy. The system serves itself by capturing images, processing them locally, and transmitting only relevant data.
Solution Approach 2:
Manual mechanical inspection is replaced with an automated electronic system comprising imaging sensors, onboard processors, and wireless communication modules. This substitution eliminates physical labor while enabling continuous monitoring without increasing operational complexity.
2Measurement precision
If sophisticated sensors like imaging sensors are used, then measurement precision is improved, but power consumption and data processing requirements increase
Solution Approach 1:
The system divides processing tasks between the remote unit's onboard processor and a central server. The remote unit performs initial image processing and pest detection locally, then transmits only relevant results or processed data to the server, reducing the power consumption burden on the battery-operated remote unit.
Solution Approach 2:
The system performs preliminary image processing and pest detection at the remote unit before transmission. By pre-processing images locally and identifying potential pests beforehand, the system reduces the amount of data that needs to be transmitted and processed centrally, thereby lowering overall power consumption.
3Productivity
If all sensor data is transmitted to central server, then data processing capability is improved, but data transmission volume and energy consumption increase
Solution Approach 1:
The system extracts and transmits only essential data to the central server, such as pest detection results, confidence scores, and selected images. Non-essential raw image data and intermediate processing results are processed and filtered locally, eliminating unnecessary data transmission and reducing energy consumption.
Solution Approach 2:
The system performs partial processing at the remote unit and partial processing at the central server. Rather than transmitting all raw data for complete processing, the system handles routine processing locally and sends only cases requiring advanced analysis or confirmation to the server, optimizing the balance between processing capability and transmission energy.
Data Source
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AI summary
A system for detecting the presence of pests, the system comprising: at least one remote camera system, each of the at least one remote camera system comprising an image capture device coupled to a processor and a wireless transmitter, each of the at least one remote camera system having a pest detection surface and being configured to: capture one or more image of the pest detection surface; process the captured one or more image to recognise the potential presence of a target pest on the pest detection surface; and transmit data from the captured one or more image in response to recognising the potential presence of one or more target pests; and a server configured to: receive the transmitted data; process the transmitted data to verify the potential presence of the target pest on the pest detection surface; and provide an output indicating the verification.