Sensor Measurable Region Simulation for Environmental Factor Compensation
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Solution Overview
Problem
Existing methods for determining sensor arrangements in human flow analysis and crime prevention systems are costly and difficult for non-experts to implement, as they fail to account for environmental factors like light and color information, leading to unsatisfactory measurement results.
Innovation Solution
An information processing apparatus that simulates a measurable region by generating a 3D model with environment information and virtually arranging sensors, allowing for the simulation of sensor performance before installation, enabling users without expertise to determine optimal sensor specifications and positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor arrangement is determined based on ideal measurement results without considering environment conditions, then the determination process is simple and fast, but the measurement precision and reliability deteriorate because environmental factors like light and color information are not accounted for
Solution Approach 1:
The system performs preliminary simulation of sensor measurement results under various environmental conditions before actual sensor installation. A three-dimensional model of the measurement region is created with environment information including light sources and color data, and sensor performance is simulated virtually to determine optimal arrangement without requiring expert knowledge during actual deployment
Solution Approach 2:
The invention creates a virtual copy of the measurement region as a three-dimensional model that replicates the physical environment including lighting conditions and color information. This virtual model allows simulation of sensor behavior without needing actual sensors in place, enabling non-experts to evaluate measurement precision beforehand
2Ease of operation
If expert knowledge is required to determine sensor specifications and arrangement, then measurement precision can be improved through expert judgment, but the ease of operation deteriorates and costs increase due to the need for multiple expert investigations
Solution Approach 1:
The system enables non-expert users to independently determine optimal sensor arrangements by providing them with a simulation tool that automatically evaluates measurement results under various environmental conditions. Users can input their own requirements and the system performs the evaluation that previously required expert knowledge, making the process self-service oriented
Solution Approach 2:
The system allows users to adjust various parameters such as sensor position, orientation, and specifications in the virtual environment and immediately see how these changes affect measurement results. This interactive parameter adjustment enables non-experts to optimize sensor arrangements without needing to understand complex measurement principles
3Reliability
If multiple expert investigations are conducted for each sensor in a combined system, then the reliability of sensor arrangement can be improved, but the loss of time and productivity deteriorate due to repeated discussions and coordination
Solution Approach 1:
The system merges multiple sensor evaluations into a single integrated simulation environment. Instead of conducting separate investigations for each sensor type, the platform allows simultaneous simulation of multiple sensors with different specifications and positions, evaluating their combined performance in relation to user requirements in one unified process
Solution Approach 2:
The simulation platform serves multiple functions: it evaluates individual sensor performance, optimizes sensor arrangements, predicts measurement results under various environmental conditions, and generates arrangement recommendations. This multi-functional system replaces multiple separate expert investigations with a single versatile tool
Data Source
AI summary
An information processing apparatus simulates a measurable region of a sensor when the sensor is arranged in a measurement region to be measured, and the information processing apparatus includes: a generation unit that generates a measurement region map with environment information based on a three-dimensional model of the measurement region to be measured and the environment information that causes a change in a measurement result of the sensor; an execution unit that virtually arranges the sensor on the measurement region map with environment information generated by the generation unit, and simulates the measurable region of the sensor based on sensor information related to the measurable region of the sensor; and an output unit that outputs a result of simulation by the execution unit.