Identification and position sensor for payload bay

Patent metadata

Field	Value
Publication number	US-9850001-B1
Application number	US-201615274355-A
Country	US
Kind code	B1
Filing date	Sep 23, 2016
Priority date	Sep 23, 2016
Publication date	Dec 26, 2017
Grant date	Dec 26, 2017

Abstract

A system including a payload bay having at least one sensor configured to determine the identity of an object being transported in the payload bay and verify that the object is properly seated within the payload bay. As an object is inserted into the payload bay of the vehicle, the sensor(s) detects a pattern located on the side of the object. As the sensor(s) detects the pattern, it transmits information that enables the system to determine both the identity of the object and position of the object within the payload bay. In this way, the sensor(s) enables the system to identify when a wrong object is loaded into the payload bay, and/or when the object is improperly seated within the payload bay.

First claim

What is claimed is:

1. An unmanned aerial vehicle (UAV) comprising:
a payload bay;
a payload image sensor;
one or more processors; and
memory storing computer-executable instructions that, when executed on one or more processors, performs acts comprising:
detecting, by the sensor, that an object has been inserted into the payload bay;
receiving, from the sensor and by the one or more processors, pattern data corresponding to a first portion of a pattern located on a side of the object;
identifying the object based on the pattern data; and
determining, based at least in part on a second portion of the pattern sensed by the sensor, a position and orientation of the object in the payload bay.

2. The UAV as recited in claim 1 , wherein the pattern comprises at least one of a barcode or a 2D barcode repeated at least multiple times on the object, and wherein identifying the object comprises accessing information corresponding to a first instance of the at least one of the barcode or the 2D barcode.

3. The UAV as recited in claim 2 , wherein determining that the object is properly seated in the payload bay comprises:
counting instances of the at least one of barcode or the 2D barcode, and
determining the position of the object based on the counting of the instances of the at least one of barcode or the 2D barcode.

4. The UAV as recited in claim 1 , wherein the object is a first object, the pattern is a first pattern, the pattern data is first pattern data, and the acts further comprise:
detecting, by the sensor, that a second object has been inserted into the payload bay;
receiving, by the sensor and to the one or more processors, second pattern data corresponding to a first portion of the second pattern located on a side of the second object;
identifying the second object based on the second pattern data; and
determining, based at least in part on a second portion of the second pattern sensed by the sensor, a position and orientation of the second object in the payload bay.

5. A method comprising:
detecting, by a sensor, that an object has been inserted into a payload bay;
detecting, by the sensor, a pattern located on a side of the object;
identifying the object based on the pattern; and
determining, based on at least one of a location of the pattern relative to the payload bay or an amount of the pattern sensed by the sensor, that the object is properly seated in the payload bay.

6. The method as recited in claim 5 , wherein the pattern comprises at least one of a barcode or a 2D barcode, and wherein identifying the object comprises accessing information corresponding to the at least one of the barcode or the 2D barcode.

7. The method as recited in claim 6 , wherein the pattern is a first pattern, the information indicates a second pattern that is mapped to the object, and wherein determining that the object is properly seated in the payload bay comprises:
comparing the first pattern to the second pattern, and
determining the position of the object based on the comparison of the first pattern and the second pattern.

8. The method as recited in claim 6 , wherein the information includes an indication that the object is properly seated, and wherein the at least one of the barcode or the 2D barcode is positioned on the object so as to be detected by the sensor when the object is properly seated in the payload bay.

9. The method as recited in claim 5 , wherein the pattern is a first pattern, and wherein determining that the object is properly seated in the payload bay comprises:
identifying a second pattern that is associated with the object;
determining a difference between the first pattern and the second pattern; and
determining, based on the difference, a spatial relationship between the sensor and the object.

10. The method as recited in claim 5 , wherein the sensor is a Hall effect sensor, and the pattern comprises at least one of magnetic ink printed on the object or magnetic materials coupled to the object.

11. The method as recited in claim 5 , wherein the sensor comprises a micro-switch sensor, the pattern comprises an embossed pattern, and wherein the object being inserted into the payload pay causes the micro-switch sensor to detect the embossed pattern.

12. The method as recited in claim 5 , wherein the object is a first object, the pattern is a first pattern, and further comprising:
detecting, by the sensor, that a second object has been inserted into the payload bay;
detecting, by the sensor, a second pattern located on a side of the second object;
identifying the second object based on the second pattern; and
determining, based on the second pattern, that the second object is properly seated in the payload bay.

13. A vehicle comprising:
a payload bay;
a sensor;
one or more processors; and
memory storing computer-executable instructions that, when executed on one or more processors, performs acts comprising:
detecting that an object has been inserted into the payload bay;
transmitting, by the sensor and to the one or more processors, pattern data corresponding to a pattern located on a side of the object;
identifying the object based on the pattern data; and
determining, based on the pattern data, that the object is properly seated in the payload bay.

14. The vehicle as recited in claim 13 , wherein the pattern comprises at least one of a barcode or a 2D barcode, and wherein identifying the object comprises accessing information corresponding to the at least one of the barcode or the 2D barcode.

15. The vehicle as recited in claim 14 , wherein the pattern is a first pattern, the information indicates a second pattern that is mapped to the object, and wherein determining that the object is properly seated in the payload bay comprises:
comparing the pattern data to the second pattern, and
determining the position of the object based on the comparison of the pattern data and the second pattern.

16. The vehicle as recited in claim 14 , wherein the information includes an indication that the object is properly seated, and wherein the at least one of the barcode or the 2D barcode is positioned on the object so as to be detected by the sensor when the object is properly seated in the payload bay.

17. The vehicle as recited in claim 13 , wherein the pattern is a first pattern, and wherein determining that the object is properly seated in the payload bay comprises:
identifying a second pattern that is associated with the object;
determining a difference between the pattern data and the second patter; and
determining, based on the difference, a spatial relationship between the sensor and the object.

18. The vehicle as recited in claim 13 , wherein the sensor is a Hall effect sensor, and the pattern comprises at least one of magnetic ink printed on the object or magnetic materials coupled to the object.

19. The vehicle as recited in claim 13 , wherein the object is a first object, the pattern is a first pattern, the pattern data is first pattern data, and further the acts further comprise:
detecting, by the sensor, that a second object has been inserted into the payload bay;
transmitting, by the sensor and to the one or more processors, second pattern data corresponding to a second pattern located on a side of the second object;
identifying the second object based on the second pattern data; and
determining, based on the second pattern data, that the second object is properly seated in the payload bay.

20. The vehicle as recited in claim 19 , the ac

Assignees

• Amazon Tech Inc

Inventors

• Gill Ramsey
• Robb Walker Chamberlain

Classifications

• B64U2201/104

  using satellite radio beacon positioning systems, e.g. GPS · CPC title

• B64U2101/60

  for transporting passengers; for transporting goods other than weapons · CPC title

• G06K7/1413

  1D bar codes · CPC title

• B64C39/024

  of the remote controlled vehicle type, i.e. RPV · CPC title

• G06K7/10722

  Photodetector array or CCD scanning · CPC title