PTZ Camera Targeted Snapshot Recording
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Solution Overview
Problem
Current video recording systems lack the ability to selectively record high-resolution images of targets of interest within a scene, leading to inefficient storage and inability to capture forensic-quality images, as they record the entire scene at the same resolution, including irrelevant background information.
Innovation Solution
The system combines a fixed camera with a Pan-Tilt-Zoom (PTZ) camera to capture high-resolution snapshots of targets of interest, using intelligent video analysis to direct the PTZ camera's attention to specific areas, allowing for higher resolution imaging of targets while reducing storage requirements by recording only the relevant areas at higher pixel density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire scene is recorded at high resolution, then the image quality of targets of interest is improved, but the storage requirements increase significantly
Solution Approach 1:
The patent applies local quality by recording different regions of the scene at different resolutions. Specifically, identified targets of interest are captured at high resolution while the surrounding background areas are recorded at lower resolution. This allows the system to maintain high image quality for important subjects while significantly reducing the overall storage requirements for the complete scene recording.
Solution Approach 2:
The patent segments the video recording into multiple quality levels based on the importance of different regions. The scene is divided into regions containing targets of interest and background regions, with each segment recorded at appropriate resolution levels. This segmentation enables selective allocation of storage resources to where they are most needed.
2Quantity of substance
If only relevant areas are recorded at high resolution, then storage requirements are reduced, but the ability to capture forensic-quality images of all potential targets is worsened
Solution Approach 1:
The patent employs preliminary action through real-time scene analysis and target identification algorithms that continuously scan and evaluate the video feed before recording. By pre-identifying potential targets of interest using computer vision and pattern recognition, the system can proactively allocate high-resolution recording resources to areas that are likely to contain important evidence, ensuring forensic-quality capture without wasting storage on irrelevant areas.
3Device complexity
If the entire scene is recorded uniformly, then no selective focus is needed, but the system cannot distinguish between important and irrelevant information
Solution Approach 1:
The patent introduces an intermediary layer of intelligent scene analysis and target identification software that acts as a mediator between the camera system and the recording system. This intermediary analyzes the video content in real-time, identifies targets of interest using computer vision algorithms, and directs the recording system to allocate appropriate resolution levels to different regions. This intermediary enables the system to automatically distinguish between important and irrelevant information without requiring manual intervention.
Data Source
AI summary
Some embodiments include incorporating detailed snapshots of targeted areas of interest into a video or digitized recording of an overall scene. In some embodiments, a single fixed high-resolution scene camera or a fixed standard resolution scene camera of analog or IP connected type is used. The scene camera can be co-located with at least one pan-tilt-zoom (PTZ) camera or used in a mode where less than full resolution of the scene camera is used for video but full resolution snapshots of areas are captured by the same camera. The area of interest is selected by the object-tracking feature of an intelligent video system, operated without human intervention, by electronically-implemented identification of the existence of area-specific subjects or targets of interest in the scene image field.