Camera Auto-Setting Algorithm Compatibility Verification
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Solution Overview
Problem
Configuring cameras for specific tasks in video surveillance systems is time-consuming and lacks flexibility, as existing auto-setting technologies are not adaptable to varying conditions and may not be compatible with all camera types.
Innovation Solution
A method and device that determine compatibility between auto-setting algorithms and cameras by obtaining adjustable and settable setting parameters, allowing for the selection and execution of relevant algorithms to adjust camera settings dynamically based on tasks and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of camera settings is performed to achieve optimal results in different conditions, then the quality of camera images for task performance is improved, but the time required for configuring the camera increases significantly
Solution Approach 1:
The system enables cameras to automatically configure their own settings by executing auto-setting algorithms locally. The camera captures test images, analyzes them to determine current conditions, and adjusts its settings parameters autonomously without requiring manual intervention, thus achieving both high settings quality and reduced configuration time
Solution Approach 2:
The system performs preliminary compatibility verification between auto-setting algorithms and camera types before deployment. By pre-screening and storing compatible algorithm-camera pairs, the system avoids time-consuming compatibility checks during actual configuration and ensures optimal settings are applied immediately
2Productivity
If embedded auto-setting technologies are used within cameras to reduce configuration time, then the configuration speed is improved, but the flexibility and adaptability of the system decreases
Solution Approach 1:
The system creates a universal compatibility framework that maps multiple auto-setting algorithms to different camera types based on their capabilities. The server stores and manages multiple algorithm-camera pairings, allowing any compatible algorithm to be applied to any compatible camera, thus maintaining both speed and flexibility across diverse system configurations
Solution Approach 2:
The system introduces a server as an intermediary between cameras and auto-setting algorithms. This mediator manages the compatibility relationships, selects appropriate algorithms based on camera capabilities and task requirements, and coordinates the configuration process, thereby enabling flexible adaptation without compromising configuration speed
3Adaptability or versatility
If multiple auto-setting algorithms are considered for different camera types, then the adaptability to various conditions is improved, but the complexity of selecting and managing compatible algorithms increases
Solution Approach 1:
The system segments the complexity by separating the compatibility verification logic from the configuration execution. The server handles the complex task of verifying compatibility between algorithms and cameras by comparing required setting parameters against camera capabilities, while cameras simply execute the algorithms assigned to them. This division reduces the computational burden on individual components and simplifies the overall system architecture
Data Source
AI summary
A method for improving settings of a camera, the method comprising: obtaining a first set of setting parameters that are adjustable by an auto-setting algorithm, the setting parameters of the first set being set as a function of a task to be performed based on images obtained from the camera; obtaining a second set of setting parameters, the setting parameters of the second set being setting parameters of the camera, values of which are settable remotely from the camera; determining, as a function of the first and second sets of setting parameters, whether the auto-setting algorithm and the camera are compatible to perform the task; and if the auto-setting algorithm and the camera are compatible to perform the task, executing the auto-setting algorithm to adjust values of setting parameters of the camera.