Security Camera Blind Area Evaluation Using Dynamic Object Data
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Solution Overview
Problem
Existing security camera systems fail to accurately determine blind areas due to the presence of moving objects, leading to incomplete monitoring of spaces, as they only consider structural information without accounting for dynamic objects that can obstruct the field of view.
Innovation Solution
An information processing apparatus and method that evaluates the degree of field of view shielding by a security camera using both structure data and object data, simulating object movement to determine the extent of blind areas and optimizing camera placement to minimize unmonitored regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only structure data is used to determine blind areas, then the system is simple to operate, but the measurement precision of blind area determination deteriorates
Solution Approach 1:
The patent combines structure data (static environment information) with object data (dynamic moving object information) to comprehensively determine blind areas. This merging of multiple data sources resolves the contradiction by maintaining system simplicity while significantly improving measurement precision through integrated analysis of both structural and dynamic factors.
Solution Approach 2:
The patent introduces dynamic object data that changes over time to complement static structure data. By incorporating time-varying information about moving objects into the blind area determination, the system achieves higher measurement precision without compromising operational simplicity, as the dynamic analysis is automatically performed by the determination unit.
2Device complexity
If only structure data is considered, then the device complexity is low, but the reliability of monitoring coverage evaluation deteriorates
Solution Approach 1:
The patent merges structure data and object data into a unified analysis framework. This combination improves reliability by considering both static environmental factors and dynamic moving object factors, while device complexity remains manageable through automated processing by the determination unit that integrates both data types systematically.
Solution Approach 2:
The patent performs preliminary determination of blind areas by integrating both structure and object data before final monitoring decisions are made. This advance analysis improves reliability by pre-identifying potential blind spots caused by moving objects, allowing for proactive camera placement or adjustment while keeping the overall system complexity low.
3Measurement precision
If structure data and object data are both used, then the measurement precision of blind area determination is improved, but the loss of information processing increases
Solution Approach 1:
The patent extracts only the essential and relevant features from both structure data and object data that are necessary for blind area determination. By focusing on critical information rather than processing all available data, the system achieves high measurement precision while minimizing unnecessary information processing load and associated losses.
Solution Approach 2:
The patent applies different processing qualities to different data types based on their specific characteristics and requirements for blind area determination. Structure data and object data are processed with appropriate levels of detail and complexity suited to their respective roles, optimizing measurement precision while reducing overall information processing requirements through differentiated handling.
Data Source
AI summary
An information processing apparatus comprises a controller configured to generate an evaluation result obtained by evaluating a degree of a field of view of a security camera disposed in a predetermined space being shielded due to an object, on a basis of: structure data regarding a structure existing in the predetermined space; and object data regarding the object that moves within the predetermined space.