Intelligent Server System Bandwidth Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video management systems face challenges in efficiently managing bandwidth for video data acquisition and analysis, leading to high costs and resource wastage due to the need for dedicated high-speed networks and fail-over servers, while also struggling with accurate object detection in varying environmental conditions and false alarms.
Innovation Solution
An integrated intelligent server-based system with sensory input/data acquisition and analytics servers that enables fail-safe integration and optimized utilization of sensory inputs, featuring bandwidth-adaptive data transfer, multi-channel join-split mechanisms, and advanced object analysis techniques for efficient data processing and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If dedicated high-speed networks are used to transfer video data from sensors to storage media, then data transfer speed and reliability are improved, but system cost and network resource consumption increase significantly
Solution Approach 1:
The patent combines video data transfer and storage operations into an integrated system where the recording server directly receives data from sensors and stores it in attached storage media, eliminating the need for separate dedicated high-speed networks. This merging of functions reduces network infrastructure requirements while maintaining efficient data flow.
Solution Approach 2:
The recording server is designed to perform multiple functions: receiving video data from sensors, processing the data, and storing it in storage media. This multi-functional approach eliminates the need for specialized dedicated networks, as the same infrastructure serves multiple purposes, reducing overall network resource consumption.
2Reliability
If dedicated fail-over servers are deployed to back up against server failures, then system reliability is improved, but resource utilization deteriorates as these servers remain unused during normal operations
Solution Approach 1:
The patent merges the fail-over functionality with the normal recording server operations. The recording server is designed with built-in redundancy capabilities where storage media can be accessed by multiple servers, and fail-over is achieved through software-based mechanisms rather than requiring separate dedicated fail-over servers. This eliminates resource wastage while maintaining reliability.
Solution Approach 2:
The system implements self-service fail-over mechanisms where the recording server automatically detects failures and redistributes workloads without requiring external intervention or dedicated standby servers. The load balancing and fail-over capabilities are integrated into the normal operational flow, allowing resources to be dynamically allocated based on actual needs rather than remaining idle.
3Loss of energy
If data aggregation techniques are applied to transmit multi-channel data over low bandwidth networks, then bandwidth consumption is reduced, but computational complexity and inter-channel interference increase
Solution Approach 1:
The patent segments multi-channel video data into separate independent streams that are transmitted individually over the network. Instead of aggregating multiple channels into a single compressed stream, each channel maintains its own data flow, which simplifies transmission and reduces computational complexity at both encoding and decoding ends, while still achieving efficient bandwidth utilization through independent optimization of each stream.
4Measurement precision
If video content analysis is performed per frame basis with pre-defined algorithms, then analysis coverage is improved, but computational resource efficiency deteriorates due to unnecessary processing
Solution Approach 1:
The patent applies partial action by performing content analysis selectively rather than on every frame. The system identifies key frames or frames with significant changes and applies analysis algorithms only to those, rather than processing every single frame. This approach maintains comprehensive analysis coverage for important events while dramatically reducing computational resource consumption by skipping redundant processing of identical or similar frames.
Data Source
AI summary
Integrated intelligent system adapted for any operating system and/or multi-OS computing environment seamlessly having sensory input/data acquisition cum recording server group and/or analytics server group enabling fail-safe integration and/or optimized utilization of various sensory inputs for various utility applications. Also disclosed as added advancements include intelligent method/system for cost-effective and efficient band adaptive transferring/recording sensory data from single or multiple data sources to network accessible storage devices, fail safe and self sufficient server group based method for sensory input recording and live streaming in a multi-server environment, intelligent and unified method of color coherent object analysis, face detection in video images and the like, resource allocation for analytical processing involving multi channel environment, multi channel join-split mechanism adapted for low and/or variable bandwidth network link, enhanced multi-color and/or mono-color object tracking and also an intelligent automated traffic enforcement system.