View source for 18374468. IDENTIFYING VEHICLES AND ASSOCIATING VEHICLES WITH CUSTOMER PROFILES AT A QUICK SERVICE RESTAURANT simplified abstract (Insight Direct USA, Inc.)

=IDENTIFYING VEHICLES AND ASSOCIATING VEHICLES WITH CUSTOMER PROFILES AT A QUICK SERVICE RESTAURANT=


==Organization Name==

[[:Category:Insight Direct USA, Inc.|Insight Direct USA, Inc.]]


[[Category:Insight Direct USA, Inc.]]

==Inventor(s)==

[[:Category:Andrew Schwenker of Mahomet IL (US)|Andrew Schwenker of Mahomet IL (US)]][[Category:Andrew Schwenker of Mahomet IL (US)]]

[[:Category:Antoine E. Hall of Spring Hope NC (US)|Antoine E. Hall of Spring Hope NC (US)]][[Category:Antoine E. Hall of Spring Hope NC (US)]]

[[:Category:Ilya Eliashevsky of Milford CT (US)|Ilya Eliashevsky of Milford CT (US)]][[Category:Ilya Eliashevsky of Milford CT (US)]]

[[:Category:Ryan Miller of Columbus OH (US)|Ryan Miller of Columbus OH (US)]][[Category:Ryan Miller of Columbus OH (US)]]

[[:Category:Tony Lunt of Union KY (US)|Tony Lunt of Union KY (US)]][[Category:Tony Lunt of Union KY (US)]]

==IDENTIFYING VEHICLES AND ASSOCIATING VEHICLES WITH CUSTOMER PROFILES AT A QUICK SERVICE RESTAURANT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18374468 titled 'IDENTIFYING VEHICLES AND ASSOCIATING VEHICLES WITH CUSTOMER PROFILES AT A QUICK SERVICE RESTAURANT

==Simplified Explanation==

The abstract describes a method of delivering an order to a customer of a quick service restaurant by using computer vision to identify a vehicle entering the restaurant's zone, associating the vehicle with the customer's order profile, directing the vehicle to a location within the zone, and delivering the order to the customer in the vehicle.

* Computer vision technology is used to identify vehicles entering the zone surrounding the quick service restaurant.
* The system associates the vehicle with the customer's order profile, which includes the details of the order.
* The vehicle is directed to a specific location within the zone for order pickup.
* The order is then delivered to the customer in the vehicle.

== Potential Applications ==
This technology could be applied in various industries beyond quick service restaurants, such as drive-thru pharmacies, banks, and other drive-thru services.

== Problems Solved ==
1. Streamlining the order delivery process for quick service restaurants.
2. Improving customer experience by reducing wait times and increasing efficiency in order fulfillment.

== Benefits ==
1. Faster order delivery.
2. Enhanced customer satisfaction.
3. Increased operational efficiency for businesses.

== Potential Commercial Applications ==
"Drive-Thru Order Delivery System: Revolutionizing Customer Service Efficiency"

== Possible Prior Art ==
There may be prior art related to using computer vision for vehicle identification and order delivery in drive-thru settings, but specific examples are not provided in this abstract.

== Unanswered Questions ==
=== How does the system handle multiple vehicles entering the zone simultaneously? ===
The abstract does not address how the system manages multiple vehicles entering the zone at the same time. This could be a potential challenge in real-world implementation.

=== What measures are in place to ensure the accuracy of order association with the correct vehicle? ===
The abstract does not detail the specific mechanisms or safeguards in place to prevent order mix-ups or errors in associating the order with the correct vehicle. This aspect of the technology's functionality would be crucial for its successful implementation.


==Original Abstract Submitted==

A method of delivering an order to a customer of a quick service restaurant can include identifying, by computer vision using at least one camera, a vehicle that enters a zone surrounding the quick service restaurant; associating, by a computer processor, the vehicle with a profile of the customer that includes the order; directing the vehicle to a location within the zone; and delivering the order to the customer in the vehicle.



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