Dynamic Upload Rate Adjustment for Image Capture Devices
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Solution Overview
Problem
Image capture devices often experience dropped information, such as video frames or audio, due to streaming at rates higher than the available communication bandwidth, leading to inefficiencies in data transfer.
Innovation Solution
The device dynamically adjusts its upload rate based on predicted future location and bandwidth conditions by using a location sensor, processor, and transmitter to optimize data transfer rates, ensuring that visual and audio content is transmitted efficiently without exceeding available bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the image capture device streams content at a high rate, then the quality and continuity of visual content transmission is improved, but the available communication bandwidth is exceeded resulting in dropped video frames and audio
Solution Approach 1:
The patent implements dynamic adjustment of the streaming rate based on real-time bandwidth conditions and predicted future locations. The system continuously monitors network performance metrics and adapts the upload rate accordingly, transitioning from a static high-rate streaming approach to a dynamic rate adaptation mechanism that prevents bandwidth exhaustion while maintaining optimal quality
Solution Approach 2:
The system performs preliminary actions by determining predicted future locations and anticipating bandwidth conditions before actually streaming from those locations. This proactive approach allows the device to pre-adjust streaming parameters based on predicted network conditions, preventing data loss before it occurs rather than reacting after bandwidth is exceeded
2Reliability
If the upload rate is reduced to match available bandwidth, then data transfer reliability is improved, but the efficiency and quality of content streaming deteriorates
Solution Approach 1:
The system dynamically changes the upload rate parameter based on measured and predicted bandwidth conditions. Rather than using a fixed reduced rate, the system adjusts the streaming parameter continuously to match actual network capacity, optimizing the balance between reliability and efficiency through adaptive parameter modification
3Productivity
If the device streams at maximum capacity, then the use of communication resources is maximized, but dropped information occurs when bandwidth is insufficient
Solution Approach 1:
The system implements a feedback mechanism that monitors actual bandwidth availability and network performance metrics, then uses this information to adjust the upload rate. This closed-loop control prevents information loss by continuously comparing current streaming performance against actual network capacity and making corrective adjustments
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution prevents dropped information by dynamically adjusting the upload rate according to predicted bandwidth conditions, ensuring stable and efficient streaming of content from the image capture device to a remote device.
Implementation Method 1
The optical element may guide light within a field of view to the image sensor
Implementation Method 2
The image sensor may generate a visual output signal conveying visual information defining visual content based on light that becomes incident thereon
Data Source
AI summary
Upload bandwidth to a remote device may vary depending on the location of a device transmitting information to the remote device. Location of an image capture device may be used to dynamically change the upload speed from the image capture device to the remote device.