Surveillance Camera Event Triggering for Selective High-Quality Imaging
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Solution Overview
Problem
Surveillance cameras require higher storage capacity to transmit high-quality images upon request, increasing costs and resource consumption.
Innovation Solution
A method involving a surveillance system that analyzes low-quality images from cameras to identify events, triggering high-quality image capture and transmission only when necessary, using neural networks for event detection and optimizing storage usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cameras transmit high quality images upon request, then event examination capability is improved, but storage capacity requirements increase
Solution Approach 1:
The system dynamically adjusts image quality based on operational needs. Cameras switch between low-quality continuous monitoring mode and high-quality event recording mode, optimizing the balance between storage usage and image quality for specific purposes
Solution Approach 2:
The system performs preliminary analysis of low-quality images to detect events before requesting high-quality images. This preliminary action filters out non-event periods, preventing unnecessary high-quality image storage while maintaining event detection capability
2Measurement precision
If cameras have higher storage capacity, then high quality image transmission is enabled, but system cost increases
Solution Approach 1:
The system uses dynamic image quality adjustment to avoid the need for expensive high-capacity storage in all cameras. By switching between low and high quality modes based on event detection, standard cameras can serve the dual purpose of monitoring and event recording
Solution Approach 2:
The system extracts only the necessary high-quality images for event examination rather than storing all high-quality images. This selective extraction approach allows standard cameras to provide high-quality images when needed without requiring expanded storage capacity
3Quantity of substance
If low quality images are transmitted, then storage and bandwidth usage are reduced, but event detection capability is compromised
Solution Approach 1:
The system performs preliminary event detection using low-quality images to identify potential events. Once an event is detected, the system then retrieves or captures high-quality images for that specific event, ensuring event detection capability is maintained while minimizing storage usage
Solution Approach 2:
The system uses low-quality images as an intermediary for initial event screening. These images serve as a filter to identify events that warrant further investigation with high-quality images, reducing the need to store and analyze large volumes of high-quality image data
Data Source
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AI summary
Certain aspects of the present disclosure may include methods, systems, and non-transitory computer readable media for receiving a first plurality of images from a first camera, analyzing the first plurality of images to identify an event, transmitting an indication signal to the first camera indicating the identifying of the event, and receiving a second plurality of images from the first camera in response to the first camera receiving the indication signal, the second plurality of images occupying more storage space than the first plurality of images.