Fixed Position Camera Dynamic Setting Adjustment
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Solution Overview
Problem
Fixed position cameras often capture sub-optimal video data due to constant setting values, failing to effectively track moving objects of interest within their field of view, leading to inadequate video analytics performance.
Innovation Solution
A computer-implemented method and system that dynamically adjust the physical settings of fixed position cameras based on the movement and projected capture range of multiple moving objects, allowing for optimal execution of video analytics actions by changing settings to support specific actions for each object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If setting values of physical settings for fixed position cameras are kept constant, then device complexity is reduced and ease of operation is improved, but video analytics performance deteriorates and capture range adaptability worsens
Solution Approach 1:
The patent implements dynamic adjustment of camera physical settings (pan, tilt, zoom, focus) based on real-time detection of moving objects. The system continuously monitors the capture range and automatically modifies setting values to optimize tracking of multiple objects, transforming the static camera system into a dynamic one that adapts to changing scene requirements.
Solution Approach 2:
The system changes physical parameters of the camera including pan angle, tilt angle, zoom level, and focus distance. By adjusting these parameters in response to detected objects and their movement, the system optimizes the capture range to maintain objects of interest within the field of view while maximizing video analytics performance.
2Adaptability or versatility
If setting values are changed dynamically to support multiple video analytics actions, then video analytics performance is improved and capture range adaptability is enhanced, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The system implements self-service by automatically detecting moving objects, calculating optimal camera settings, and adjusting physical parameters without human intervention. The camera system monitors its own capture range and performs self-optimization through automated control algorithms that determine when and how to adjust pan, tilt, zoom, and focus settings based on detected objects and their projected movement.
Solution Approach 2:
The system employs feedback mechanisms where video analytics actions provide information about detected objects, their positions, and movement patterns. This feedback is used to continuously refine camera setting adjustments, creating a closed-loop control system that optimizes capture range based on actual analytics performance and object tracking requirements.
3Productivity
If setting values are changed dynamically to support multiple video analytics actions, then video analytics performance is improved, but the duration of action increases due to multiple adjustment operations
Solution Approach 1:
The system performs preliminary calculations of projected object movement and pre-determines optimal setting changes before executing adjustments. By predicting where objects will move and calculating the necessary camera parameter changes in advance, the system minimizes adjustment time and ensures smooth transitions without losing track of objects of interest.
Solution Approach 2:
The system maintains continuous tracking of multiple objects through seamless setting transitions. By overlapping adjustment operations and ensuring that useful action (object tracking and analytics) continues uninterrupted during setting changes, the system minimizes the effective duration of action loss while performing multiple adjustments.
Data Source
AI summary
A method and system for controlling operation of a fixed position camera are disclosed. The method includes determining durations of time with respect to which moving objects are projected to become at least practically out of a capture range of the fixed position camera. Based at least in part on these determined durations of time, a number of changes are made to physical settings of the fixed position camera within respective opportunity windows for achieving respective objectives, and in a priority-ordered manner.


