3D Depth Imaging Object Identification via Light Signals
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Solution Overview
Problem
Existing systems for identifying objects in three-dimensional depth imaging are cumbersome and time-consuming, especially when objects move, as they require manual setup and re-identification processes, which can be inefficient and labor-intensive.
Innovation Solution
Implementing a system that uses depth cameras to automatically identify objects through light signals, such as blinking patterns, and binds their network identity to their physical location, allowing for automatic device discovery and re-identification without user intervention, utilizing IoT networks for communication and data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification processes are used for networked items, then the visual sensor can correctly identify items, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The networked items autonomously provide identification information to the visual sensor through light signals. Items that have been assigned identification codes automatically emit light patterns that encode their identity, eliminating the need for manual identification processes and enabling automatic recognition by the sensor system
Solution Approach 2:
Identification codes are pre-assigned to networked items before they need to be identified. The items are pre-configured with unique identifiers and programmed to emit light signals containing this identification information, so that when the visual sensor needs to identify an item, the identification data is already prepared and readily available
2Productivity
If automatic identification using light signals is implemented, then identification speed improves, but system complexity increases due to integration of depth cameras and IoT networks
Solution Approach 1:
The visual sensor system is designed to perform multiple functions: it can detect ordinary visual information and simultaneously detect light signals containing identification codes. The depth camera component serves dual purposes by providing both depth imaging capabilities and light signal detection capabilities, reducing the need for separate dedicated identification hardware
Solution Approach 2:
Light signals serve as an intermediary medium between the networked items and the visual sensor system. Rather than requiring direct complex communication protocols or physical interaction between items and sensors, the light signals act as a simple, universal carrier of identification information that the visual sensor can detect and process
3Measurement precision
If depth cameras are used for three-dimensional depth imaging, then object identification accuracy improves, but the setup and re-identification process becomes cumbersome when objects move
Solution Approach 1:
When networked items move to new locations, they automatically continue to emit light signals containing their identification codes. The visual sensor system automatically detects these signals and updates the spatial database with the new item locations, eliminating the need for manual re-setup or re-identification procedures when items are relocated
Solution Approach 2:
The system implements a feedback mechanism where the visual sensor continuously monitors for light signals from networked items and automatically updates the spatial database with location information. This closed-loop feedback ensures that the system maintains accurate knowledge of item locations and identities without requiring manual intervention, even as items move dynamically through the environment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables rapid, accurate, and automated identification and re-identification of objects in a physical space, reducing setup time and improving device recognition speed, while maintaining minimal disturbance to occupants, even in dynamic environments.
Implementation Method 1
detect a light signal from the first device
Data Source
AI summary
Embodiments are generally directed to identification of objects for three-dimensional depth imaging. An embodiment of an apparatus includes one or more processors to process image data and control operation of the apparatus; an image sensor to collect image data; and a receiver and transmitter for communication of data, wherein the apparatus is to receive a notification of a first device entering a physical space, transmit a request to the device for a light signal to identify the device, detect the light signal from the device, determine a location of the device, and store an identification for the first device and the determined location of the first device in a database.