Object Detection Data Transmission Under Unstable Tactical Links
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Solution Overview
Problem
Existing image detection systems in tactical telecommunication networks face instability due to bandwidth limitations and transmission disruptions, leading to inefficient data transmission and delayed decision-making, especially when high-resolution images are required for object detection.
Innovation Solution
A method and device for transmitting object detection data based on probability thresholds and current transmission conditions, selectively transmitting object identifiers and compressed images to optimize bandwidth use and ensure reliable detection, even in unstable networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If detection data is transmitted using existing protocols like HTTP or MQTT, then the system can achieve broad compatibility and ease of operation, but the power consumption increases and battery life decreases
Solution Approach 1:
The patent changes the communication protocol from existing protocols (HTTP, MQTT) to a custom protocol optimized for IoT devices. This protocol uses binary format instead of text-based formats, implements selective data transmission based on event triggers, and optimizes packet structure to reduce transmission overhead, thereby significantly reducing power consumption while maintaining compatibility through standard TCP/IP transport
Solution Approach 2:
The patent extracts and transmits only the essential detection data elements rather than complete datasets. It implements a filtering mechanism that identifies and transmits only relevant changes or events, removing redundant information transmission that consumes power, while still providing sufficient data for detection model execution
2Measurement precision
If detection models are executed locally on acquisition devices, then real-time detection accuracy improves, but the device complexity and computational resource requirements increase
Solution Approach 1:
The patent segments the detection system into two parts: lightweight feature extraction executed locally on acquisition devices with limited resources, and complex model execution performed on remote servers with充足 computational resources. This segmentation allows accurate detection while keeping local device complexity low
Solution Approach 2:
The patent introduces an intermediary communication layer that transmits processed detection data from acquisition devices to remote servers. This intermediary mechanism enables the system to leverage remote computational power for complex model execution while keeping local devices simple, maintaining detection accuracy without increasing local device complexity
3Adaptability or versatility
If transmission packets include complete detection data, then the receiver can execute detection models independently, but the data transmission volume and network bandwidth consumption increase
Solution Approach 1:
The patent extracts and transmits only essential detection data elements required for model execution, removing redundant or unnecessary data. This selective extraction reduces transmission volume while maintaining the receiver's ability to execute detection models independently by providing the minimum necessary data set
Data Source
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AI summary
The invention relates to a method for transmitting type object detection data, the method comprising, after a detection process has been carried out on a captured image, the following steps: if, for the given image, a detection probability of between S and S' has been determined, wherein S' is predetermined to be strictly less than S and strictly positive, performing a step of transmitting at least one portion of the image comprising the detected type object associated with the data indicating at least one identifier of the detected type object, the detection probability of the object and a geographical position, and, before the transmission step is performed, selectively compressing the image portion according to the current state of the transmission link, regardless of whether the state meets the predefined threshold transmission conditions; after the compression step, transmitting the compressed image portion.