Imaging Device Feature Priority Bandwidth Control
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Solution Overview
Problem
Existing imaging systems face challenges in accurately detecting objects while minimizing data bandwidth, particularly due to increased data recording and potential environmental factors affecting detection accuracy.
Innovation Solution
An imaging device and tracking system that captures images, extracts feature amounts, determines priority based on privacy levels and environmental conditions, and outputs relevant data efficiently, allowing for accurate object tracking with reduced data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all extracted feature amounts are recorded and transmitted, then object detection accuracy is improved, but data bandwidth increases and communication speed decreases
Solution Approach 1:
The patent segments feature amounts into different priority levels (first priority, second priority, third priority) based on their importance for object detection. The control section selectively transmits only high-priority feature amounts when bandwidth is limited, while transmitting lower-priority feature amounts when bandwidth is available. This segmentation allows the system to maintain detection accuracy by ensuring critical features are always transmitted while reducing overall data bandwidth through selective transmission of less critical features.
Solution Approach 2:
The patent applies local quality by assigning different transmission qualities to different feature amounts based on their priority levels. High-priority feature amounts (such as those critical for identifying dangerous objects) are transmitted with higher reliability and lower latency, while lower-priority feature amounts are transmitted with lower bandwidth consumption. This differential quality approach ensures that the most important detection data receives sufficient bandwidth while less critical data consumes minimal resources.
2Productivity
If feature amounts are selectively transmitted to reduce data bandwidth, then communication efficiency is improved, but object detection accuracy may deteriorate
Solution Approach 1:
The patent implements dynamic feature amount transmission by continuously monitoring the bandwidth capabilities of the communication path and adjusting which priority levels of feature amounts are transmitted. When bandwidth is abundant, the system transmits feature amounts across all priority levels to maximize detection accuracy. When bandwidth is constrained, the system dynamically shifts to transmitting only high-priority feature amounts, ensuring communication efficiency is maintained while preserving detection accuracy for critical objects.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system monitors communication conditions and detection results, then adjusts the priority-based transmission strategy accordingly. If detection accuracy drops below a threshold, the system responds by increasing the transmission of higher-priority feature amounts. This feedback loop ensures that communication efficiency is optimized while maintaining sufficient object detection accuracy through adaptive adjustment of feature amount transmission based on actual system performance.
Data Source
AI summary
Provided is an imaging device with which an accuracy of object detection can be increased while the data bandwidth is reduced. The imaging device 12 includes an imaging unit 22 that captures an image of an object, a feature amount extracting section 24 that extracts a plurality of feature amounts of the object whose image has been captured by the imaging unit 22, a priority determining section 27 that determines priority of the plurality of feature amounts extracted by the feature amount extracting section 24, a control section 28 that determines feature amounts according to a priority level and an allowable amount at an output destination, and an output unit 32 that outputs the feature amounts determined by the control section 28. The imaging device 12 further includes a moving direction calculating section 25 that computes the moving direction of the object, and the output unit 32 can output the feature amounts and the moving direction in association with each other.