Loitering Detection Server Filtering Video Noise
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Solution Overview
Problem
Alarm monitoring computer systems face challenges in efficiently utilizing digital video data due to its large file size, high transmission costs, and storage requirements, often being overloaded with non-relevant 'noise' data, which hinders timely and cost-effective processing of alarm events.
Innovation Solution
A digital video alarm loitering monitoring system that employs a digital video analytics server to analyze digital video streams, detect loitering events, and selectively store only relevant data, using a cloud-based infrastructure to process and store data efficiently, reducing unnecessary data transmission and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital video data is processed and stored in alarm monitoring systems, then the functionality and detection capabilities are improved, but the storage requirements and transmission costs increase significantly
Solution Approach 1:
The patent extracts only the essential alarm event data from the complete digital video stream. Instead of storing or transmitting entire video files, the system identifies and extracts only the portions of video data that contain actual alarm events, separating useful information from unnecessary 'noise' data. This extraction principle directly reduces storage volume while maintaining alarm detection capability.
Solution Approach 2:
The patent applies local quality by differentiating between different portions of the video data. High-quality processing and storage are applied only to segments containing alarm events, while other segments are minimized or discarded. This selective quality approach ensures reliable alarm detection while reducing overall data volume by not uniformly processing all video content.
2Measurement precision
If complete digital video streams are transmitted for analysis, then accurate alarm event detection is achieved, but transmission costs and network bandwidth consumption increase
Solution Approach 1:
The system extracts only the necessary video segments containing alarm events for transmission and further analysis. By removing unnecessary video portions before transmission, the patent reduces network bandwidth consumption and transmission costs while still providing sufficient data for accurate alarm event detection and verification.
3Reliability
If alarm monitoring systems process all digital video data, then comprehensive monitoring is achieved, but system complexity and processing time increase
Solution Approach 1:
The patent segments the digital video stream into distinct portions based on alarm event detection. The system divides the continuous video data into relevant alarm segments and non-relevant portions, processing only the necessary segments. This segmentation reduces processing complexity by avoiding uniform processing of entire video streams while maintaining comprehensive monitoring coverage through strategic segment selection.
Data Source
AI summary
A digital video alarm loitering monitoring system. The system includes a digital video analytics server including a digital video analytics computer having non-transitory memory configured to store machine instructions that are to be executed by the computer. The machine instructions when executed by the computer implement the following functions: obtaining a digital video snapshot from a digital video stream in response to detecting a loitering event indicator based on a potential loitering object; object analyzing the digital video snapshot to detect a detected object, a detected object type and a detected object location within the digital video snapshot; determining an active monitoring loitering object in response to the potential loitering object and the detected object; and repeating the obtaining, object analyzing and determining functions to determine a loitering condition.