LIDAR Interaction Detection in Inventory Storage Units
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Solution Overview
Problem
Current methods for tracking interactions with consumer goods in materials handling facilities are limited, particularly in distinguishing specific items and associating them with individuals, due to reliance on expensive and cumbersome imaging devices and weight sensors that struggle with occlusion and item identification in environments with similar colors or complex surroundings.
Innovation Solution
The implementation of LIDAR technology to create thin detection fields within inventory areas, allowing for precise detection of interactions by determining angles and distances of object breaches, combined with other sensors like imaging devices and weight sensors, to accurately identify items and associate them with individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If imaging devices are used to capture visual data of interactions, then transactions can be monitored, but the system becomes expensive, heavy, and large requiring substantial processing
Solution Approach 1:
The patent replaces complex mechanical imaging devices with optical LIDAR sensing. Instead of using cameras and image processing systems, the invention uses LIDAR to emit light pulses and detect their reflection from objects, converting a mechanical/optical imaging problem into a simpler time-of-flight measurement problem that directly provides distance and position data without requiring substantial image processing.
Solution Approach 2:
The patent extracts only the essential measurement function from imaging devices. Rather than capturing full visual images and processing them to identify interactions, the system extracts only the necessary spatial and temporal data through LIDAR distance measurements, eliminating the need for complex image capture and processing hardware.
2Reliability
If imaging devices are mounted above inventory areas to monitor interactions, then transactions can be detected, but distant transactions remain occluded by closest transactions
Solution Approach 1:
The patent transitions from two-dimensional image plane detection to three-dimensional spatial measurement. By using LIDAR to measure distances and positions in 3D space, the system can detect interactions at different depths and angles simultaneously, eliminating occlusion problems that affect 2D camera-based systems where closer objects block views of distant objects.
Solution Approach 2:
The patent changes the measurement parameter from visual capture to time-of-flight distance measurement. By measuring the time for light pulses to travel to and from objects, the system obtains direct spatial information that is not subject to occlusion, allowing detection of all interactions regardless of their position in the field of view.
3Measurement precision
If visual data is used to identify items, then interactions can be tracked, but items with colors similar to surroundings cannot be readily captured
Solution Approach 1:
The patent replaces color-based visual identification with LIDAR-based spatial and temporal measurement. Instead of relying on color contrast between items and surroundings, the system uses time-of-flight measurements to detect interactions, which are independent of optical properties like color. This substitution eliminates the harmful effect of color similarity entirely.
4Reliability
If weight sensors are used to detect changes in mass, then transactions can be monitored, but specific items cannot be distinguished or associated with individuals
Solution Approach 1:
The patent introduces LIDAR as an intermediary sensing modality that bridges the gap between weight sensors and item identification. While weight sensors detect mass changes, LIDAR provides spatial position and interaction location data, which together enable identification of specific items and association with individuals without losing information about what was transacted.
Solution Approach 2:
The patent merges weight sensor data with LIDAR spatial measurement data to achieve complete transaction monitoring. The combination of mass change detection and precise location information allows the system to identify specific items and associate them with individuals, overcoming the limitation of weight sensors alone.
5Productivity
If multiple transactions occur at a common angle with respect to a sensor, then the sensor can capture the scene, but only the closest transaction is captured while distant ones remain occluded
Solution Approach 1:
The patent uses three-dimensional time-of-flight measurement to resolve transactions occurring at common angles. By measuring the precise distance to each interaction point, the LIDAR system can distinguish between multiple transactions along the same line of sight, capturing data for all transactions rather than only the closest one, thus preventing information loss.
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
Enhances the accuracy and efficiency of tracking interactions in materials handling facilities by providing a hands-free, precise method to detect and locate interactions, even in complex environments, improving inventory management and transaction monitoring.
Implementation Method 1
a LIDAR device configured to transmit a plurality of pulses or beams of laser light within a detection field having a finite width and capture information or data regarding reflections of the pulses or beams
Implementation Method 2
capture information or data regarding reflections of the pulses or beams
Data Source
AI summary
LIDAR devices may be mounted in inventory areas and configured to transmit pulses or beams of laser light, to receive reflections of the laser light from one or more objects, and to detect and locate interactions with items maintained at the inventory areas. LIDAR devices may transmit laser light in fields that are substantially parallel to a frontal area of a storage unit, such that interactions with the storage unit via the frontal area are detected and located accordingly based on angles and times of flight of the reflected laser light. Other sensors, such as digital cameras or electronic scales, may be mounted within storage units, and information captured by such sensors may augment information captured by LIDAR devices to detect and locate interactions with the storage units.