Sensor Data Transmission Rate Adaptation via Object Detection
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Solution Overview
Problem
In intelligence, surveillance, and reconnaissance (ISR) systems, the manual adjustment of data transmission rates in wireless communications channels is error-prone and inefficient, leading to overlooked valuable intelligence due to operator limitations and reduced quality of received data in unmanned systems.
Innovation Solution
Implementing computer object detection on sensor data to identify objects of interest, allowing for dynamic adjustment of transmission rates, prioritizing higher quality transmission of data associated with objects of interest while reducing bandwidth usage for non-relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of transmission rates is used, then operator control over data quality is improved, but operator error and unavailability cause valuable intelligence to be overlooked
Solution Approach 1:
The system performs self-adjustment of transmission rates through automated object detection algorithms that identify objects of interest and dynamically configure transmission parameters without human intervention, eliminating operator error while maintaining adaptive control
Solution Approach 2:
The manual mechanical adjustment process is replaced with an automated computer vision system that uses image processing algorithms to detect objects and automatically control transmission rates, substituting human operation with computational automation
2Measurement precision
If continuous streaming at maximum transmission rate is used, then data quality is improved, but bandwidth constraints cause data loss when capacity is exceeded
Solution Approach 1:
The transmission rate is made dynamic rather than static, automatically adjusting based on detected objects of interest. The system transmits at maximum rate when important objects are detected and reduces rate when no significant objects are present, optimizing both quality and bandwidth utilization
Solution Approach 2:
The system changes transmission parameters (rate, resolution) based on the importance of detected objects. High-priority objects receive high-quality transmission while low-priority areas use reduced bandwidth, preventing data loss through intelligent parameter adaptation
3Reliability
If transmission rate is increased for video streaming, then intelligence detection capability is improved, but bandwidth consumption exceeds channel capacity
Solution Approach 1:
The video stream is segmented into regions of interest and non-interest areas. Only regions containing detected objects are transmitted at high quality, while other areas are transmitted at lower resolution or skipped entirely, reducing overall bandwidth consumption while maintaining intelligence detection capability
Data Source
AI summary
A method of transmitting sensor data from a mobile data collector to a supervising node over a wireless communications channel, the method comprising: performing computer object detection on sensor data collected by the mobile data collector; responsive to the computer object detection identifying an object of interest within the sensor data collected by the mobile data collector, generating a first subset of the sensor data associated with the object of interest, and generating a second subset of the sensor data not associated with the object of interest; transmitting the first subset of the sensor data at a first transmission rate from the mobile data collector to the supervising node via the wireless communications channel; and transmitting the second subset of the sensor data at a second transmission rate from the mobile data collector to the supervising node via the wireless communications channel, wherein the first transmission rate is greater than the second transmission rate.