Camera and Lighting System for Marker-Based Object Tracking
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Solution Overview
Problem
Systems relying solely on image analysis face challenges in effectively identifying and tracking objects, especially in large datasets, due to the difficulty in distinguishing relevant data from irrelevant information, leading to errors and increased human workload.
Innovation Solution
A camera and lighting system that uses electromagnetic radiation and markers to enhance object detection, employing cameras that can move and adjust focus, zoom, and position dynamically, along with an electromagnetic radiation emission system to accentuate specific spectral bands, facilitating accurate tracking and location of objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If systems rely solely on image analysis for object detection, then the system complexity remains low, but the measurement precision and reliability of object identification deteriorate
Solution Approach 1:
The patent introduces markers as intermediary objects that are attached to or associated with target objects. These markers serve as mediators between the imaging system and the objects of interest, providing distinctive visual features that significantly improve object identification accuracy. The markers reflect or emit light to create high-contrast signals that are easily distinguishable from the background, thereby enhancing measurement precision without requiring complex image analysis algorithms.
Solution Approach 2:
The patent employs markers with specific spectral characteristics that reflect or emit light in distinct color bands. By using markers with different color properties (e.g., fluorescent markers that emit specific wavelengths), the system can differentiate between multiple objects and enhance the visibility of targets. This approach improves identification accuracy by creating distinctive visual signatures that are easily detectable by the imaging system.
2Measurement precision
If electromagnetic radiation emission system is added to accentuate spectral bands, then object detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent implements a lighting system that pre-illuminates the scene with specific spectral characteristics before image capture. By using light sources that match the spectral properties of the markers (e.g., UV illumination for fluorescent markers), the system enhances the contrast and visibility of markers in advance of detection. This preliminary action ensures that markers are optimally illuminated, improving detection accuracy without requiring post-processing complexity.
Solution Approach 2:
The patent employs periodic or pulsed illumination strategies where the light source is activated in synchronized intervals with the imaging system. This periodic action allows for temporal separation of marker signals from background illumination, enhancing detection accuracy by capturing images during specific illumination phases when marker contrast is maximized.
3Adaptability or versatility
If cameras are made mobile with dynamic focus and zoom adjustment, then tracking capability improves, but device complexity and operational difficulty increase
Solution Approach 1:
The patent implements a feedback-controlled camera system where the imaging device automatically adjusts its position, focus, and zoom based on real-time detection of marker positions. The system continuously monitors the distance and position of tracked objects, then automatically modifies camera parameters to maintain optimal tracking. This feedback mechanism eliminates the need for manual operation, improving tracking capability while simplifying operation through automation.
Solution Approach 2:
The patent enables the camera system to autonomously perform tracking operations without human intervention. The imaging system automatically acquires images, processes marker positions, adjusts focus and zoom, and repositions itself to follow moving targets. This self-service capability allows the system to adapt to changing scenarios dynamically while maintaining ease of operation through complete automation.
4Productivity
If automated object detection is implemented, then productivity increases, but measurement precision may deteriorate due to algorithmic errors
Solution Approach 1:
The patent uses markers as intermediaries that simplify the detection process for automated systems. Instead of requiring complex algorithms to identify and track arbitrary objects, the system detects the distinctive features of markers which have predetermined, easily recognizable patterns. This intermediary approach allows simple, fast detection algorithms to achieve high accuracy, simultaneously improving productivity and maintaining measurement precision.
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
The system improves object tracking accuracy and reduces human intervention by using electromagnetic radiation to highlight markers, enabling seamless object detection and monitoring across large areas with reduced computational complexity and increased efficiency.
Implementation Method 1
an electromagnetic radiation emission system to accentuate specific spectral bands
Implementation Method 2
cameras that can move and adjust focus, zoom, and position dynamically, along with an electromagnetic radiation emission system
Data Source
AI summary
A method and system for monitoring objects senses, by an electromagnetic sensor, ambient electromagnetic radiation including at least a particular frequency band reflected from a marker on the object. Data is transmitted about the ambient electromagnetic radiation to a tracking system including at least one memory system and a processor having at least one processor. The processor system determines data representing the marker, the data representing the marker being derived from the data about the ambient electromagnetic radiation. The processor system also determines a location of the object based on the data representing the marker.