Drive-Through Vision Integration for Vehicle-Based Order Tracking

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Solution Overview

Problem

Existing drive through systems lack efficient vehicle identification and order management capabilities, leading to inefficiencies in order fulfillment and customer service.

Innovation Solution

A vision system integrated with transaction systems that uses cameras to identify vehicle characteristics and track vehicles through their lifecycle, enabling real-time updates to point of sale units and facilitating improved order management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If cameras and vision systems are added to identify vehicle characteristics, then order fulfillment accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvevehicle identification accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The vision system performs multiple functions including vehicle detection, characteristic identification (color, type, size), and tracking throughout the drive-through lane. This multi-functional approach consolidates what could be multiple separate systems into one unified vision system, improving vehicle identification accuracy while managing system complexity through functional integration

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The vision system acts as an intermediary between the physical vehicle and the order management system. It captures image data, processes it to extract vehicle characteristics, and provides this information to the point of sale unit and staff notification systems, thereby improving identification accuracy without directly complicating the core transaction system

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If real-time vehicle tracking is implemented, then order fulfillment speed is improved, but use of energy increases

Engineering Contradiction:
Improveorder fulfillment speedVSAvoidenergy consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The system uses periodic image capture at specific zones along the drive-through lane rather than continuous tracking. The vision system captures images at predetermined zones (approach zone, ordering zone, payment zone, pickup zone) which provides real-time tracking capability while reducing energy consumption compared to continuous video streaming and processing

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system performs preliminary vehicle identification and characteristic extraction as the vehicle approaches through the detection zones, before the vehicle reaches the ordering or payment stages. This allows the system to prepare order fulfillment information in advance, improving speed while distributing energy consumption across predetermined processing points rather than continuous operation

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If multiple cameras are deployed to track vehicles through the lane, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvevehicle location accuracyVSAvoidcamera system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The drive-through lane is divided into multiple predetermined zones (approach, ordering, payment, pickup zones), with cameras strategically positioned to cover specific zones. This segmentation allows each camera to focus on a particular area, improving vehicle location accuracy within each zone while managing overall system complexity through distributed, modular camera placement rather than requiring a single complex omnidirectional system

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system merges data from multiple cameras positioned at different locations along the drive-through lane to create a comprehensive view of vehicle position and characteristics. By combining information from these distributed cameras and processing it through a unified vision system, the patent achieves high measurement precision while avoiding the complexity of a single complex camera system

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20250390967A1Drive through system including vision system and transaction system integration
Publication Date: 2025.12.25 XENIAL INC
  • US20250390967A1 patent drawing
  • US20250390967A1 patent drawing
  • US20250390967A1 patent drawing

AI summary

A control system for a drive through includes processing circuitry. The processing circuitry is configured to determine, using image data obtained from multiple cameras, a characteristic of a vehicle in a lane of the drive through. The processing circuitry can operate a point of sale unit to provide an indication of the characteristic of the vehicle. The processing circuitry can, responsive to detection of one or more of a plurality of vehicles using the image data, perform at least one of (i) initiating an alert via the point of sale unit for staff of the drive through, (ii) initiating an action to open an additional lane, or (iii) initiating a kitchen action to prepare one or more food or beverage items.