Security Camera Drone Mapping for Multi-Level Stair Transitions
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Solution Overview
Problem
Mapping multi-level buildings with complex transition spaces, such as staircases, poses challenges due to varying configurations and obstacles, which hinder effective data collection and generation of accurate graphical representations.
Innovation Solution
The use of a Security Camera Drone (SCD) equipped with sensors and cameras that follows either an orthogonal or smooth trajectory path to map transition spaces, allowing it to navigate through vertical and horizontal transitions while collecting environmental data, including images and conditions like temperature and humidity, to generate 2D or 3D representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional mapping methods are used in multi-level buildings, then simplicity of operation is maintained, but mapping precision and ability to capture complex transition spaces deteriorates
Solution Approach 1:
The patent introduces an intermediary processing system that receives raw mapping data from multiple sources (drones, cameras, sensors), processes it through trajectory path analysis, and generates accurate 2D/3D representations. This intermediary layer handles the complexity of multi-level building mapping, allowing simple operation while achieving high precision through automated data processing and trajectory correction algorithms.
2Measurement precision
If comprehensive data collection is performed in transition spaces, then mapping precision improves, but time required for mapping increases
Solution Approach 1:
The patent implements preliminary action by pre-planning trajectory paths between different levels and transition spaces before actual mapping occurs. The system pre-identifies optimal drone flight paths, camera angles, and data collection points, allowing comprehensive data gathering to be executed efficiently along predetermined routes, thus reducing overall mapping time while maintaining precision.
Solution Approach 2:
The patent ensures continuous useful action by implementing overlapping trajectory paths and continuous data collection modes as the drone moves through transition spaces. Multiple cameras and sensors operate continuously along the trajectory, capturing data without gaps or interruptions, which maintains high mapping precision while optimizing the time required by eliminating redundant positioning and data collection steps.
3Adaptability or versatility
If multiple trajectory paths are used to map different transition spaces, then adaptability to various building configurations improves, but device complexity increases
Solution Approach 1:
The patent implements universality by designing a single multi-functional mapping system that can execute multiple types of trajectory paths (linear, curved, spiral, zigzag) using the same drone and sensor platform. The system automatically selects and adapts the appropriate trajectory type based on the detected building configuration, eliminating the need for separate specialized equipment for each transition space type while maintaining high adaptability.
Data Source
AI summary
A drone is used to map difficult transition spaces within buildings such as staircases between different levels of a multi-level building. The mapping technique used may vary based on the type of building space. For instance, for linear staircases, an orthogonal trajectory path or a smooth trajectory path may be used to map the transition space. The orthogonal trajectory path and the smooth trajectory path may be derived, at least in part, on initial and terminating points provided by a user. For circular staircases, a user may move the drone from the initial point to the terminating point, and the drone may determine a trajectory path based on the user's movement of the drone from the initial point to the terminating point.