3D Image Generation for Security Training via Virtual Object Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for training and maintaining security personnel, particularly in airport settings, are tedious and time-consuming, especially with the integration of 3D radioscopic imaging and artificial intelligence, as they require handling physical objects or modifying images, which can be unsafe and inefficient.
Innovation Solution
A method for generating 3D images that integrates virtual 3D graphic elements, characterized by a mesh of points and material, into a 3D container image, allowing for the transformation of these elements into voxels and adding artificial effects, enabling the creation of realistic and adaptable threat simulations without physical objects, thus enhancing safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical objects are inserted into containers for security training, then detection skills can be trained, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent uses virtual 3D copies of objects instead of physical objects for security training. The system generates synthetic 3D representations of prohibited items and integrates them into digital container models, allowing security personnel to practice detection without handling physical objects. This copying approach maintains training effectiveness while eliminating the time-consuming processes of inserting, retrieving, and managing physical objects.
Solution Approach 2:
The patent replaces the mechanical process of physically inserting objects into containers with a digital integration process. Instead of manually placing physical objects and then scanning them, the system uses software to integrate virtual 3D objects into digital container models, automatically generating the corresponding radioscopic images. This substitution eliminates the manual labor and time associated with mechanical object insertion while maintaining the integrity of the training scenario.
2Reliability
If images are modified by superimposing scanned objects, then training can be performed, but credibility is questionable and detection becomes too easy
Solution Approach 1:
The patent creates authentic-looking training images by generating virtual 3D copies of objects with accurate physical properties and integrating them into digital container models. These synthetic copies produce radioscopic images that closely resemble real scanned images, maintaining both credibility and detection difficulty. The virtual objects include accurate material properties, shapes, and positions that generate realistic X-ray attenuation patterns.
Solution Approach 2:
The patent uses parameter changes to enhance the realism of virtual objects. By adjusting parameters such as material density, thickness, shape, and position of virtual objects, the system generates diverse and realistic training scenarios. This allows for creating images with varying levels of difficulty and realism without compromising the authenticity of the detection challenge.
3Illumination intensity
If 3D images are used for training, then better visualization is achieved, but object insertion and retrieval remains tedious
Solution Approach 1:
The patent replaces the mechanical process of physically inserting and retrieving objects from 3D containers with a digital integration process. The system uses software to integrate virtual 3D objects into digital container models, automatically generating the corresponding radioscopic images. This substitution eliminates the manual labor and time associated with physical object handling while maintaining the benefits of 3D visualization for enhanced detection training.
4Productivity
If multiple physical machines are used for parallel training, then more agents can be trained, but maintenance and costs increase
Solution Approach 1:
The patent creates a universal digital training system that can serve multiple purposes and users simultaneously. The software-based platform allows multiple security personnel to undergo training at the same time using the same computational resources, eliminating the need for multiple physical machines. The system can generate unlimited training scenarios and accommodate multiple users concurrently, providing high productivity without the complexity and cost of maintaining multiple physical devices.
Data Source
Figure 1~2
Figure 3
AI summary
The invention relates to a method for generating a 3D image comprising at least one fused 3D graphic element corresponding to at least one object to be detected by a security agent or by a detection algorithm using artificial intelligence, including in particular the steps of integrating (E4) at least one prepared 3D graphic element into a generated 3D image so that said at least one 3D graphic element appears in the container on the 3D image, of processing (E5) the 3D image comprising the at least one integrated 3D graphic element to transform the point mesh of the at least one 3D graphic element into voxels in the 3D image, and of post-processing (E6) the processed 3D image to add to the voxels artificial effects related to the material of the at least one 3D graphic element in order to fuse said at least one 3D graphic element into the 3D image.