Camera Command Control System for Emergency Situational Awareness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack an efficient and integrated system for monitoring and remotely controlling networks of visual, audio, and meteorological data capturing devices, which hinders rapid situational awareness and effective resource allocation during emergencies.
Innovation Solution
A software and systems framework utilizing digital cameras, command and control software, machine learning, and artificial intelligence to create a network that allows for real-time data processing, visualization, and control, enabling enhanced situational awareness and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras are manually controlled to view different locations, then each user can view their target area, but system complexity and control conflicts increase
Solution Approach 1:
The system enables cameras to automatically perform patrol functions by pre-configuring patrol patterns, targets, and time intervals. The camera controller autonomously executes these patterns without requiring manual intervention for each patrol cycle, reducing control complexity while maintaining multi-location monitoring capability
Solution Approach 2:
Users pre-configure patrol patterns, target locations, and time intervals before system operation. These preliminary settings allow the system to automatically execute complex multi-camera coordination without real-time manual control, resolving the contradiction between versatile control and system complexity
2Adaptability or versatility
If cameras continuously capture images for multiple users, then all users can simultaneously view their target areas, but image capture frequency and data volume increase
Solution Approach 1:
The system implements periodic patrol patterns where cameras capture images at predetermined time intervals rather than continuously. Each camera alternates between capturing images and remaining stationary, providing updated views to multiple users periodically while significantly reducing overall image capture frequency and data generation
Solution Approach 2:
The system captures images at lower frequency than continuous monitoring would require, using periodic patrol patterns to provide sufficient situational awareness updates without generating excessive image data. This partial action approach maintains multi-user viewing capability while controlling data volume
3Ease of operation
If cameras are moved frequently to accommodate different user requests, then user flexibility is improved, but camera wear and energy consumption increase
Solution Approach 1:
Users pre-configure patrol patterns, target locations, and time intervals before system operation. These preliminary settings allow the system to automatically execute complex multi-camera coordination without real-time manual control, resolving the contradiction between versatile control and system complexity
Solution Approach 2:
The system implements periodic patrol patterns where cameras capture images at predetermined time intervals rather than continuously. Each camera alternates between capturing images and remaining stationary, providing updated views to multiple users periodically while significantly reducing overall image capture frequency and data generation
Data Source
AI summary
System and method for collection, control and display of cameras and images. Software may direct the cameras to targeted images automatically or manually. Artificial Intelligence (AI) may be used to identify targets and automatically direct one or more cameras to focus on a target. Images taken by one or more cameras may then be stored and displayed for later viewing or live streamed. Images may be aggregated to create up to a three hundred sixty-degree (360) view. Images may be conventional, thermal or infrared. Image parameters, such as sharpness and gain, may be adjusted in real-time at the camera level or during post processing on merged/panorama images to provide a consistent merged image for the end user. One or more cameras may be controlled by clicking on an image, including the generated panoramic 360 image, or a map overlaid with images and other data. Three dimensional (3D) models may be created by the software from the images taken by the cameras. Visualizations and map overlays may be created from the data collected.


