Surveillance Camera Mode Switching for Object-Triggered Manual Tracking
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Solution Overview
Problem
Existing surveillance systems burden users with excessive manual intervention and inefficiencies in switching between automatic and manual surveillance modes, particularly in dynamic environments like construction sites.
Innovation Solution
A control apparatus and method that allows switching between automatic and manual surveillance modes based on the movement of detected objects, dividing the surveillance region into areas of interest and general regions, and utilizing machine learning to adapt camera operations such as pan, tilt, and zoom.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic surveillance mode is used to detect and track target objects, then surveillance efficiency is improved, but the system cannot provide detailed manual confirmation when needed
Solution Approach 1:
The system dynamically switches between automatic surveillance mode and manual surveillance mode based on the movement of detected objects. When a tracked object enters a predefined second region, the system automatically transitions from automatic mode to manual mode, allowing users to perform detailed confirmation operations. This dynamic mode switching resolves the contradiction by providing both automated efficiency and manual detail capability as needed.
2Measurement precision
If manual surveillance mode is used for detailed imaging, then imaging precision is improved, but user burden and operation time increase
Solution Approach 1:
The system performs preliminary automatic tracking and detection of objects in the surveillance region. When an object enters the second region, the system has already prepared the context and position information, allowing the user to immediately perform targeted manual imaging operations without needing to scan the entire area. This preliminary action reduces the time and effort required for manual surveillance while maintaining imaging precision.
3Adaptability or versatility
If the surveillance region is divided into multiple regions, then targeted surveillance is improved, but system complexity increases
Solution Approach 1:
The surveillance region is segmented into a first region and a second region, where the second region is specifically designated for triggering mode switches. This segmentation enables targeted surveillance by allowing different operational behaviors in different regions without requiring complex division into multiple zones. The simple two-region structure provides adaptability while keeping the system relatively simple.
4Ease of operation
If the system automatically switches modes based on object movement, then ease of operation is improved, but reliability of mode switching may be affected
Solution Approach 1:
The system continuously tracks the position of detected objects and uses this feedback information to determine when to switch modes. When the tracked object's position indicates entry into the second region, the system reliably triggers mode switching. This feedback mechanism ensures that automatic mode switching is both easy to operate and reliable, as it is based on real-time positional data from the surveillance system.
Data Source
AI summary
A control apparatus is a control apparatus including a processor that controls a surveillance camera that surveils a surveillance region. The processor allows switching an operation mode of the surveillance camera between a first surveillance mode in which a target object present in the surveillance region is detected and tracked, and a second surveillance mode in which the target object is imaged according to a manual operation performed with respect to the surveillance camera, divides the surveillance region into a first region and a second region, and switches the operation mode from the first surveillance mode to the second surveillance mode according to a fact that the target object tracked in the first surveillance mode in the first region enters the second region.


