Light Curtain Motion Tracking for Warehouse Inventory
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Solution Overview
Problem
Current inventory tracking systems face challenges in accurately and cost-effectively monitoring items within warehouses due to limitations in existing motion detection and tracking techniques, such as high costs, extensive computing power requirements, and inaccuracies in three-dimensional object tracking, especially with objects having reflective or absorptive surfaces.
Innovation Solution
The implementation of an interaction detection engine using a network of sensors and emitters arranged around a perimeter to create a light curtain, which determines the area of interaction by analyzing shadows cast by objects passing through the detection area, allowing for accurate calculation of object location and size without requiring extensive computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If image recognition techniques are used for tracking objects, then motion detection capability is improved, but equipment cost and computing power requirements increase significantly
Solution Approach 1:
The patent replaces complex image recognition systems with a simpler optical detection system using light curtains and photodetectors. Instead of using cameras and computational image processing, the system uses light beams that are interrupted by moving objects, converting the detection problem from visual recognition to optical signal interruption, thereby reducing equipment complexity and computing requirements while maintaining motion detection capability
Solution Approach 2:
The patent extracts only the essential motion detection function from the complex image recognition system. By using light curtains that detect object passage through beam interruption, the system isolates the core motion detection capability without the unnecessary complexity of full image capture and processing, achieving simpler equipment with adequate functional performance
2Measurement precision
If LIDAR techniques are used for location determination, then distance measurement capability is improved, but measurement accuracy deteriorates with reflective or absorptive surfaces
Solution Approach 1:
The patent changes the detection parameter from measuring light reflection intensity (which fails with reflective or absorptive surfaces) to measuring light beam interruption timing and position. By detecting when and where light curtains are blocked rather than how much light is reflected, the system achieves reliable location determination independent of surface optical properties
Solution Approach 2:
The patent introduces light curtains as intermediary detection elements between the detection system and the tracked object. Instead of directly measuring properties of the object surface (which varies with material), the system uses light beams as intermediaries that are interrupted by the object's presence and motion, providing consistent detection signals regardless of surface characteristics
3Difficulty of detecting and measuring
If image recognition techniques are used for three-dimensional tracking, then tracking capability is improved, but accuracy deteriorates in environments with many fast-moving objects
Solution Approach 1:
The patent segments the three-dimensional space into multiple light curtains arranged in different planes and orientations. Instead of attempting to track entire objects in complex 3D space using image recognition, the system divides space into discrete light beam segments that are independently detected, simplifying the tracking of fast-moving objects by detecting their passage through individual light planes
Solution Approach 2:
The patent employs periodic scanning of light curtains through multiple planes and angles to track objects in three-dimensional space. By systematically cycling through different light curtain configurations and detecting interruptions in sequence, the system reconstructs 3D trajectories of fast-moving objects with high temporal resolution, achieving accurate tracking without the complexity of continuous image 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
This method provides a cost-effective and accurate means of tracking items within inventory systems, reducing errors associated with surface material and environmental factors, and requires less computational power compared to existing image recognition and LIDAR techniques.
Implementation Method 1
A sensor may be positioned around a perimeter... An emitter may be arranged around the perimeter... The interaction detection engine may consecutively trigger the light sources such that each light source emits light for a particular period of time
Implementation Method 2
determines an area of interaction by analyzing shadows cast by objects passing through the detection area
Data Source
AI summary
Systems and methods are provided herein for calculating an area of interaction within a perimeter of a detection area. A system may comprise a plurality of emitters, a plurality of sensors, a memory configured to store computer-executable instructions and a processor configured to access the memory and execute the instructions. The instructions may cause the processor to generate a set of emissions with the plurality of emitters, obtain sensor information of the plurality of sensors, determine a set of sensors of the plurality of sensors that failed to detect an emission of the set of emissions, and calculate an area of interaction within the perimeter of the detection area based at least in part on the determined set of sensors.