Base Station Load Control Using Ranked Wireless Camera Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless cameras installed for public safety consume significant network load at base stations, leading to communication lags and dropped data packets, particularly affecting critical use cases.
Innovation Solution
A computing device categorizes wireless cameras by rank and adjusts scene classification thresholds to manage network load by controlling video quality based on importance, using machine learning and AI to prioritize higher-quality streaming for strategic cameras when load exceeds a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless cameras are installed to monitor streets for public safety, then public safety monitoring capability is improved, but network load at base stations increases causing communication lags and data packet loss
Solution Approach 1:
The patent applies local quality by differentiating video quality requirements across different camera locations and priorities. High-priority cameras (e.g., strategic locations) receive higher video quality settings while low-priority cameras use lower quality settings, thereby reducing overall network load while maintaining essential monitoring capabilities.
Solution Approach 2:
The system dynamically changes video encoding parameters (resolution, frame rate, bitrate) based on network conditions and camera priority. When network load exceeds thresholds, the system adjusts these parameters to reduce bandwidth consumption, preventing communication lags and data packet loss.
2Measurement precision
If video quality is increased for strategic cameras, then monitoring precision is improved, but network load increases
Solution Approach 1:
Different video quality levels are assigned to different camera groups based on their strategic importance. High-priority cameras maintain high resolution and frame rates for precise monitoring, while low-priority cameras use reduced quality settings, optimizing the balance between monitoring precision and network load.
Solution Approach 2:
The system applies excessive action (higher video quality) only to the extent necessary for strategic cameras, rather than uniformly across all cameras. This partial application of high quality ensures critical monitoring needs are met while avoiding unnecessary network load from non-critical cameras.
3Reliability
If network load threshold is set low to prevent communication lags, then communication reliability is improved, but video quality must be reduced
Solution Approach 1:
The system maintains high video quality for high-priority cameras even when network load approaches thresholds, by allocating network resources preferentially. Low-priority cameras have their quality reduced first, preserving communication reliability while minimizing impact on critical monitoring functions.
Solution Approach 2:
Video quality parameters are dynamically adjusted based on real-time network conditions and camera priority. When network load increases, the system selectively reduces quality for low-priority cameras rather than uniformly reducing all camera quality, maintaining communication reliability while preserving essential video quality.
Data Source
AI summary
A device, system and method to control network load at a base station is provided. A computing device determines a network loading level on a given sector of a base station, the base station in communication with wireless cameras categorized according to rank. When the network loading level exceeds a first threshold, the computing device adjusts a respective scene classification threshold of a lowest rank group of the cameras to a value that decreases a likelihood of scenes of the lowest rank group of the cameras being classified at a higher scene interest level. The scenes classified according to the higher level are streamed by the cameras at a quality higher than other scenes classified to a lower scene interest level, thereby controlling the cameras of the lowest rank, that generate respective scenes according to the lower level, to lower their respective network loading on the given sector.