Smart shelf sensor
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Solution Overview
Problem
Convenience stores face challenges in accurately tracking and monitoring product counts across multiple products and tasks, leading to inefficiencies in inventory management and employee performance evaluation.
Innovation Solution
A system utilizing sensors, processors, and a cloud-based analytics platform to track product counts in distribution units, providing real-time data and alerts for inventory management, employee task monitoring, and customer feedback, leveraging technologies like capacitance and time-of-flight sensors for accurate product positioning and counting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual product counting and monitoring is used, then device complexity is low, but measurement precision and productivity deteriorate
Solution Approach 1:
The patent replaces manual mechanical counting with automated sensor-based detection. Optical sensors, capacitive sensors, or weight sensors automatically detect product presence and count items, eliminating the need for manual visual inspection and physical counting, thereby significantly improving measurement precision while the system handles the complexity of automated detection and data processing
Solution Approach 2:
The system enables self-monitoring of product inventory through integrated sensors that automatically detect product levels, count items, and trigger replenishment alerts without human intervention. The shelf unit itself performs the monitoring function, reducing reliance on external manual counting processes
2Productivity
If manual inventory monitoring is implemented, then device complexity remains low, but loss of time and productivity increase
Solution Approach 1:
The sensor system operates continuously to monitor product inventory in real-time as products are dispensed or removed. Rather than periodic manual checks, the system maintains constant surveillance of product levels, ensuring immediate detection of low-stock conditions and enabling continuous inventory management without interruption to store operations
Solution Approach 2:
Automated sensors replace time-consuming manual counting processes with instantaneous electronic detection. The system captures product count data in real-time through optical, capacitive, or weight-based sensing, eliminating the labor-intensive and time-consuming nature of manual inventory verification while dramatically improving productivity
3Measurement precision
If real-time product tracking is implemented, then measurement precision improves, but use of energy increases
Solution Approach 1:
Instead of continuous operation, the sensor system can be configured to perform periodic measurements at intervals or trigger readings based on specific events such as product removal or shelf access. This periodic sampling maintains adequate measurement precision for inventory management while significantly reducing average energy consumption compared to uninterrupted continuous monitoring
Solution Approach 2:
The system uses passive or low-power sensing mechanisms such as optical reflection detection or capacitive sensing that require minimal energy input. These sensor types can detect product presence and count items with high precision while consuming far less power than active imaging or continuous scanning systems would require
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 inventory accuracy, automates replenishment, and improves employee performance evaluation by providing real-time data and alerts, reducing manual counting and increasing operational efficiency.
Implementation Method 1
leveraging technologies like capacitance and time-of-flight sensors for accurate product positioning and counting
Implementation Method 2
leveraging technologies like capacitance and time-of-flight sensors for accurate product positioning and counting
Data Source
AI summary
A system for tracking a count of a product in a distribution unit is provided. The distribution unit may have a front portion where the product is presented for dispensing. The system may include a track, a product positioner, a sensor, and a processor. The track may be configured for holding the product in the distribution unit. The product positioner may interact with the track for pushing the product to the front of the distribution unit. The sensor may determine a position of the product positioner. The processor may calculate a product count in response to the position.


