Drive-Thru Dwell Time Detection Using Range Finding Sensors
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Solution Overview
Problem
Quick-service restaurants face revenue loss due to excessive 'dwell time' in drive-thru operations, where customers wait too long and may abandon their order, leading to inefficient manual monitoring methods for detecting drive-offs.
Innovation Solution
A system using a range finding device to measure vehicle dwell time in the drive-thru lane, transmitting data to a controller for real-time calculation and alerting staff via SMS, email, or voice calls when dwell time exceeds a set threshold, allowing for timely intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring methods are used to detect drive-offs, then personnel can observe drive-thru operations, but the detection is inefficient and inaccurate leading to revenue loss
Solution Approach 1:
The patent replaces manual mechanical monitoring by personnel with an automated electronic system comprising range finding devices (optical/sensor-based) and a controller that automatically calculates dwell time. This substitution eliminates human observation limitations and provides precise, continuous measurement of vehicle dwell time without manual intervention.
Solution Approach 2:
The system enables self-service monitoring where the automated controller and range finding devices independently perform detection and calculation functions without requiring personnel involvement. The system serves itself by automatically detecting vehicles, calculating their dwell time, and generating alerts when thresholds are exceeded, freeing personnel from manual monitoring tasks.
2Reliability
If real-time monitoring system is implemented to calculate dwell time, then drive-off detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent introduces a controller as an intermediary device that bridges the range finding devices and the alert notification system. The controller receives range data from sensors, calculates dwell time, compares it against thresholds, and triggers alerts accordingly. This intermediary simplifies the overall system architecture by centralizing processing logic and reducing direct connections between multiple components.
3Loss of time
If dwell time threshold alerts are sent to staff, then response time to prevent drive-offs improves, but communication infrastructure requirements increase
Solution Approach 1:
The system performs preliminary action by pre-setting dwell time thresholds and having alert notification mechanisms ready in advance. When a vehicle's dwell time exceeds the pre-configured threshold, the system immediately triggers pre-prepared alert notifications to staff, eliminating delays associated with manual detection and decision-making. The alert system is prepared beforehand to communicate through multiple channels (SMS, email, voice calls).
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
Reduces customer wait times, minimizes drive-offs, and enhances operational efficiency by providing real-time monitoring and alerts for quick-service restaurant staff, thereby improving drive-thru service quality and revenue.
Implementation Method 1
measuring a plurality of range data of the vehicle entering the drive-thru proximity zone
Data Source
AI summary
A method of controlling a drive-thru operation of a quick-service restaurant (QSR) includes detecting using a range finding device, when a vehicle enters a drive-thru proximity zone of the QSR; measuring a plurality of range data of the vehicle entering the drive-thru proximity zone; transmitting simultaneously the plurality of range data to a controller device; calculating at the controller device, a dwell time of the vehicle based on the plurality of range data; determining at the controller device, whether the dwell time of the vehicle exceeds a pre-set dwell time threshold; transmitting the dwell time of the vehicle to a cloud server when a violation occurs; and instructing a central station from the cloud server to send a notification message to the QSR when the dwell time of the vehicle exceeds the pre-set threshold.