Image Content Processing Modes for Adaptive Camera Utilization
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Solution Overview
Problem
Existing image capturing devices in crowded areas like airports, stations, and event venues are inefficiently utilized due to lack of adaptive processing methods, leading to suboptimal operation.
Innovation Solution
An information processing device with detection, determination, and execution means to analyze captured images, determining processing modes based on content, event status, and environmental conditions to optimize camera operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only switching processing for an input image per time is performed, then the processing is simple to implement, but it is impossible to efficiently utilize an image capturing device
Solution Approach 1:
The patent implements dynamic processing mode selection that adapts to real-time image content characteristics. The system automatically switches between different processing modes (e.g., face detection, crowd analysis, object tracking) based on the detected content of each captured image, rather than using a fixed time-based switching schedule. This dynamic adaptation maximizes the utilization efficiency of the image capturing device by ensuring appropriate processing is applied to each image based on its specific characteristics.
2Productivity
If adaptive processing modes are implemented based on image content, then efficient utilization of image capturing device is achieved, but the processing complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct processing modes (e.g., face authentication, crowd detection, action detection) that can be independently selected and executed. Each processing mode is designed to handle specific types of image content efficiently. The system divides the overall processing complexity into manageable segments, where only the relevant processing mode is activated based on the detected image content, rather than implementing all processing capabilities simultaneously.
Solution Approach 2:
The patent changes processing parameters dynamically based on image content characteristics. The system detects key parameters of the captured image (such as presence of faces, crowd density, detected actions) and adjusts the processing mode accordingly. This parameter-based adaptation allows the system to optimize processing efficiency for different scenarios without requiring a completely complex system architecture, as the same hardware can operate in different modes by changing processing parameters.
3Measurement precision
If processing mode is determined based on image content detection, then processing accuracy is improved, but detection and measurement difficulty increases
Solution Approach 1:
The patent performs preliminary detection of image content characteristics before executing the main processing task. The system first analyzes the captured image to detect key features (such as presence of faces, crowd patterns, or specific actions) and determines the appropriate processing mode in advance. This preliminary detection step ensures that the most suitable processing algorithm is selected before the actual processing begins, thereby improving accuracy while managing the detection complexity through a structured two-stage approach.
Data Source
AI summary
An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.