Insect Trap Image Segmentation for Low-Bandwidth Swarming Signals
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Solution Overview
Problem
Existing methods for monitoring insect pest swarming dynamics require large data packages that are expensive, prone to errors, and often unavailable or too slow for effective transmission over inadequate communication networks, limiting their usability and efficiency.
Innovation Solution
The method involves dividing insect pest images into smaller segments with unique identification tags, transmitting these segments over lower-capacity networks like 2G GSM or satellite, and reassembling them for precise evaluation at a remote processing unit, using environmental data integration for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large data packages containing sharp images are transmitted over communication networks, then image quality and identification precision are improved, but transmission cost increases and network availability decreases
Solution Approach 1:
The patent divides sharp images into multiple lower-resolution sub-images, transforming a single large data package into multiple smaller data packages. This segmentation enables transmission over lower-capacity networks (2G, 3G, 4G, satellite) that cannot handle large images, while the server reassembles them to restore the original sharp image quality for identification purposes.
2Measurement precision
If large data packages are transmitted over communication networks, then image quality is improved, but transmission time increases and data error probability increases
Solution Approach 1:
By segmenting the large image data into multiple smaller sub-image packages, the transmission time for each package is reduced proportionally. Multiple packages can be transmitted in parallel or sequentially with shorter total wait time, and the reduced package size lowers the probability of transmission errors requiring retransmission.
3Measurement precision
If large data packages are transmitted over communication networks, then image quality is improved, but hardware requirements and cost increase
Solution Approach 1:
The segmentation approach allows the use of simpler, lower-cost communication hardware at the trap location since each sub-image package requires less bandwidth and processing power. The complex reassembly and image restoration functions are shifted to the server side, reducing the hardware complexity burden on remote field devices.
4Productivity
If smaller data packages are transmitted, then transmission cost and time are reduced, but image quality and identification precision deteriorate
Solution Approach 1:
The system performs preliminary segmentation of the image into multiple sub-images at the source, and the server performs preliminary organization and reassembly before final image restoration. These preliminary actions ensure that when the smaller data packages are transmitted, they can be efficiently recombined to reconstruct the high-quality original image, thus maintaining identification precision while achieving transmission efficiency.
Data Source
Figure 1
AI summary
The invention relates to a method for signalling the swarming dynamics of insect pests, during which the insect pests (1) are captured in a trap (2), images (7) are recorded of the trapped insect pests (1), and a digitized information package (20) is created from the images in a local info-communication unit (3). Following this, the digitized information package is transmitted to a remote access processing unit (5) via a communication channel (4), where the image is restored from the digitized information package, then the restored image is evaluated, and then protection against the insect pest is performed depending on the result of the evaluation. Before the transmission of the digitized information package, at least two digital image segments (31, 41) with differing information content are formed from the image in the local info-communication unit, the divided image information elements are transmitted one after the other.