Dynamic Video Stream Resolution Selection for Bandwidth Control
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Solution Overview
Problem
Large businesses and commercial spaces face challenges in managing network bandwidth for high-resolution video streams from multiple IP cameras, as conventional methods are inadequate for wireless IP cameras and do not effectively control video stream selection to optimize bandwidth utilization.
Innovation Solution
Implementing machine learning algorithms and neural networks to analyze computer vision tasks and manage video stream selection based on confidence levels and network bandwidth thresholds, allowing for automatic adjustment of video stream resolution and frame rate to optimize bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution video streams are transmitted from multiple IP cameras, then video quality is improved, but network bandwidth utilization increases excessively
Solution Approach 1:
The system dynamically adjusts video stream resolution and frame rate based on real-time network bandwidth conditions. The network node monitors bandwidth utilization and automatically selects appropriate video parameters, transitioning between high and low resolution streams as network conditions change, thus resolving the contradiction between maintaining video quality and controlling bandwidth usage
Solution Approach 2:
The system changes video stream parameters (resolution, frame rate) based on network conditions. When bandwidth is充足, high-resolution streams are transmitted; when bandwidth is constrained, low-resolution streams are selected. This parameter adaptation allows the system to optimize both video quality and bandwidth utilization under different operating conditions
2Area of stationary object
If multiple high-resolution video streams are received, then monitoring coverage is improved, but the number of streams is limited by network bandwidth
Solution Approach 1:
The system transmits only the necessary portion of video data based on network bandwidth availability. Instead of transmitting all high-resolution streams simultaneously, it selectively transmits a subset of streams or reduced-resolution versions, ensuring that the total bandwidth consumption remains within network capacity while still providing adequate monitoring coverage across multiple areas
3Device complexity
If conventional methods are used to manage network bandwidth, then infrastructure complexity is reduced, but effectiveness in controlling video stream selection is insufficient
Solution Approach 1:
The network node automatically performs video stream selection without requiring complex manual configuration or additional infrastructure. The system monitors network bandwidth utilization and autonomously selects appropriate video streams, eliminating the need for manual intervention while effectively controlling bandwidth consumption
Data Source
AI summary
Systems and methods of selecting a video stream resolution are provided. In one exemplary embodiment, a method comprises, by a network node operationally coupled over a network to a set of optical sensor devices positioned throughout a space that are operable to send at least one of a set of image streams to the network node. The method comprises receiving a first image stream of a set of image streams of the first optical sensor device that is selected based on both a confidence level that at least one object is correctly detected from a second image stream received from the first optical sensor and a current network bandwidth utilization to maintain the current network bandwidth utilization below a network bandwidth utilization threshold, with the first and second image streams having a different resolution and the first optical sensor having a viewing angle towards the detected object.