Image Capturing Device Dynamic Object Tracking Sensitivity Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image capturing devices for security surveillance are unable to dynamically track specific objects within monitored areas as they move, lacking the capability to adjust detection sensitivity and monitoring directions accordingly.
Innovation Solution
An image capturing device system that includes a data setting module to create a path table and tracking mechanism, an object detection module to identify specific objects, and a dynamic tracking module to adjust sensitivity and direction of adjacent devices, enabling the tracking of objects across the monitored area and sending alerts to administrators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current image capturing devices are used for security surveillance, then basic monitoring function is provided, but dynamic tracking capability of specific objects is lost
Solution Approach 1:
The patent implements dynamic tracking by enabling image capturing devices to adjust their monitoring direction and detection sensitivity in real-time based on object movement. The system dynamically switches between static monitoring mode and dynamic tracking mode, allowing devices to actively follow moving objects while maintaining reliable detection through adaptive parameter adjustment.
Solution Approach 2:
The system employs feedback mechanisms where detection results from image capturing devices are continuously analyzed, and tracking parameters are adjusted based on this feedback. When an object is detected, the system provides feedback to adjacent devices to enhance their detection sensitivity and orient them toward the target, creating a closed-loop tracking system that improves both adaptability and reliability.
2Measurement precision
If detection sensitivity is increased to track objects accurately, then tracking precision is improved, but false detection rate increases
Solution Approach 1:
The patent applies local quality by adjusting detection sensitivity dynamically based on spatial location and context. Instead of using uniform high sensitivity across all areas, the system enhances sensitivity locally around detected objects while maintaining lower sensitivity in other regions, thereby improving detection precision for targets while reducing false detections in background areas.
Solution Approach 2:
The system changes detection parameters dynamically during operation. Detection sensitivity, tracking thresholds, and monitoring directions are adjusted as parameters based on real-time conditions such as object movement, distance, and environmental factors. This adaptive parameter adjustment allows the system to maintain high detection precision while minimizing false alarms.
3Area of stationary object
If multiple image capturing devices are coordinated for tracking, then tracking coverage is improved, but system complexity increases
Solution Approach 1:
The patent segments the monitoring area and assigns different image capturing devices to specific zones or roles. Each device operates semi-independently with predefined responsibilities, reducing the coordination complexity while maintaining comprehensive coverage. The system divides tracking tasks among multiple devices based on their spatial positions and detection capabilities.
Solution Approach 2:
The system merges detection results and tracking data from multiple image capturing devices into a unified tracking framework. By combining information from adjacent devices and coordinating their monitoring directions, the system achieves extended coverage without proportionally increasing complexity, as the coordination is managed through centralized or distributed control algorithms.
Data Source
AI summary
A method for dynamically tracking a specific object in a monitored area obtains an image of the monitored area by one of a plurality of image capturing devices in the monitored area, and detects the specific object in the obtained image. The method further determines adjacent image capturing devices in the monitored area according to the path table upon the condition that the specific object is detected, and adjusts a detection sensitivity of each of the adjacent image capturing devices.