RFID-Integrated Camera System for Automated Video Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video tracking systems lack the ability to automatically locate and record images of objects with RFID tags that are not in the camera's field of view, and fail to efficiently mark the location of RFID tags within images, especially in complex environments or when objects are hidden.
Innovation Solution
A system that integrates RFID readers with cameras, including full spectrum cameras capable of capturing infrared and ultraviolet light, to receive signals from RFID tags, determine their location, and automatically adjust the camera's field of view to record images with markers indicating the RFID tag's position, using video tracking software to manage the process and output the marked images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standard cameras are used for video tracking, then the system is simple and cost-effective, but the camera cannot capture objects outside the visible spectrum such as infrared or ultraviolet light
Solution Approach 1:
The patent applies full spectrum cameras that can capture multiple spectral ranges (visible, infrared, ultraviolet) simultaneously, making a single device perform multiple functions that would otherwise require separate specialized cameras
2Productivity
If RFID readers are integrated with cameras to automatically locate and track tagged objects, then tracking efficiency improves, but system complexity increases
Solution Approach 1:
The patent merges RFID readers with cameras into an integrated system where the RFID component provides automatic object identification and tracking, while the camera captures visual data, combining automated detection with visual recording to improve tracking efficiency
Solution Approach 2:
The RFID tags serve as intermediaries between the RFID readers and the objects being tracked, enabling automatic identification and location determination without direct visual contact or complex camera-based object recognition
3Measurement precision
If the camera field of view is manually adjusted to capture RFID-tagged objects, then image accuracy improves, but time consumption increases
Solution Approach 1:
The RFID tags act as intermediaries that provide precise location information to the system, allowing automatic determination of object positions without manual camera adjustment, thereby maintaining high location marking accuracy while eliminating time-consuming manual intervention
Solution Approach 2:
The patent replaces manual mechanical camera adjustment with an automated system that uses RFID signal processing and software-based field of view adjustment, substituting physical manipulation with electronic control and algorithmic processing
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
Enables effective automatic video tracking of RFID-tagged objects, ensuring they are captured in images even if they are not initially in the camera's view, and allows for precise location marking, enhancing security and inventory management applications.
Implementation Method 1
The RFID signals are received by antennas on the RFID tags and include enough power to cause an integrated circuit in the RFID tag to power up and transmit a response signal
Implementation Method 2
A typical full spectrum camera captures infrared, ultraviolet and visible light
Implementation Method 3
A typical full spectrum camera captures infrared, ultraviolet and visible light
Data Source
AI summary
Methods, computer program products and systems for providing video tracking. The method includes receiving a first signal from a radio frequency identification (RFID) tag. A location of the RFID tag is determined in response to the first signal. An image that includes the location of the RFID tag is recorded. The location of the RFID tag is marked on the image, resulting in a marked image.