Automated pallet profiling

Patent metadata

Field	Value
Publication number	US-12448210-B2
Application number	US-202418634168-A
Country	US
Kind code	B2
Filing date	Apr 12, 2024
Priority date	Apr 19, 2021
Publication date	Oct 21, 2025
Grant date	Oct 21, 2025

Abstract

Systems and methods for profiling a pallet in a warehouse can include a turntable that rotates the pallet, conveyor belts that move the pallet, and a vertical profiling structure, having cameras mounted at different locations, in a stationary position proximate to a side of the turntable. A photo booth can also be used to provide uniform lighting. A computing system can instruct a conveyor belt to automatically route the pallet onto the turntable, instruct the cameras to capture image data of the pallet as it rotates on the turntable, receive the image data, and retrieve image-based models of the pallet that were trained using images of pallets having unique identifiers. The computing system can determine, based on applying the image-based models to the image data, whether the pallet's unique identifier is identifiable, and transmit, to a warehouse management system, a notification indicating whether the unique identifier is identifiable.

First claim

What is claimed is:

1. A system for profiling a pallet, the system comprising:
a turntable configured to rotate a pallet;
a light source positioned adjacent the turntable that is configured to illuminate the pallet as the pallet rotates on the turntable;
a camera positioned relative to the light source that is configured to capture images of the pallet as the pallet rotates on the turntable; and
a photo booth that encloses an area that includes the turntable, the light source, and the camera, wherein the photo booth includes sides and a top to reduce an amount of ambient light that enters the enclosed area,
wherein the camera is configured to transmit the images of the pallet to a computing system that detects damage associated with the pallet based on processing the images of the pallet.

2. The system of claim 1 , wherein the system further comprises a vertical profiling structure in a stationary position proximate to a side of the turntable inside the photo booth, wherein the vertical profiling structure comprises the light source and the camera.

3. The system of claim 1 , wherein the system comprises a plurality of cameras positioned at a plurality of different locations proximate the turntable, wherein the plurality of cameras comprise the camera and are configured to capture the images of the pallet from a plurality of different views based on the plurality of cameras being positioned at the plurality of different locations.

4. The system of claim 1 , wherein the system further comprises a computing system configured to profile the pallet, the computing system performing operations comprising:
receiving, from the camera, image data for the captured images of the pallet; and
applying a machine learning model to the image data to detect the damage associated with the pallet, wherein the model was trained, using test images of pallets with damage and test images of pallets without damage, to determine probabilities that features in the test images are indicative of the damage to the pallets.

5. The system of claim 4 , wherein the damage comprises at least one of a broken deck board of the pallet, a warped frame of the pallet, and damage to one or more items on the pallet.

6. The system of claim 4 , wherein the computing system is further configured to perform operations comprising: applying the machine learning model to the image data to identify a lean of the pallet, wherein the model was trained, using test images of pallets with different amounts of lean, to determine probabilities that features in the test images are indicative of the different amounts of lean.

7. The system of claim 1 , wherein the light source is a red light.

8. The system of claim 1 , wherein the light source comprises a polarizing filter that causes the camera to capture light having wavelengths between 620-650 nanometers (nm).

9. The system of claim 1 , wherein the light source is configured to emit red light having a wavelength between 610 nm-750 nm, orange light having a wavelength between 595 nm-610 nm, and yellow light having a wavelength between 580 nm-595 nm.

10. The system of claim 1 , wherein the light source is configured to emit infrared light having a wavelength greater than 750 nm.

11. The system of claim 1 , wherein the light source is configured to emit ultraviolet light having a wavelength between 100 nm-400 nm.

12. A system for profiling a pallet, the system comprising:
conveyors for automatically moving the pallet for imaging and throughout a facility;
a light source positioned adjacent to the conveyors that is configured to illuminate the pallet as the pallet is automatically rotated or moved by the conveyors;
a camera positioned relative to the light source that is configured to capture images of the pallet as the pallet is automatically rotated or moved by the conveyors; and
a photo booth that encloses an area that includes a portion of the conveyors, the light source, and the camera, wherein the photo booth includes sides and a top to reduce an amount of ambient light that enters the enclosed area,
wherein the camera is configured to transmit the images of the pallet to a computing system that detects damage associated with the pallet based on processing the images of the pallet using a machine learning model that was trained to identify characteristics in the images of the pallet that are indicative of damage to the pallet.

13. The system of claim 12 , wherein the system further comprises a computing system configured to perform operations comprising:
receiving, from the camera, image data for the captured images of the pallet; and
applying the machine learning model to the image data to detect the damage associated with the pallet, wherein the model was trained, using test images of pallets with damage and test images of pallets without damage, to determine probabilities that features in the test images are indicative of the damage to the pallets.

14. The system of claim 12 , wherein the light source is configured to emit red light having a wavelength between 610 nm-750 nm, orange light having a wavelength between 595 nm-610 nm, and yellow light having a wavelength between 580 nm-595 nm.

15. A system for profiling a pallet, the system comprising:
a light-controlled environment that encloses an area, wherein the light-controlled environment comprises:
a conveyor that is configured to automatically move the pallet in the light-controlled environment to view the pallet for imaging from a plurality of different angles;
a light source positioned adjacent to the conveyor that is configured to illuminate the pallet as the pallet is moved by the conveyor;
a camera positioned relative to the light source that is configured to capture images of the pallet as the pallet is moved by the conveyor, wherein the camera is configured to transmit the images of the pallet to a computing system that detects damage associated with the pallet based on processing the images of the pallet; and

a computing system configured to perform operations comprising:
receiving, from the camera, image data for the captured images of the pallet; and
applying a machine learning model to image data to detect the damage associated with the pallet, wherein the model was trained, using test images of pallets with damage and test images of pallets without damage, to determine probabilities that features in the test images are indicative of the damage to the pallets.

16. The system of claim 15 , wherein the light-controlled environment comprises a photo booth.

17. The system of claim 15 , wherein the camera is offset from and adjacent to the light source.

18. The system of claim 15 , wherein the light-controlled environment comprises a room in a facility.

19. The system of claim 15 , wherein the light source is configured to emit red light having a wavelength between 610 nm-750 nm, orange light having a wavelength between 595 nm-610 nm, and yellow light having a wavelength between 580 nm-595 nm.

20. The system of claim 15 , wherein the damage comprises at least one of a broken deck board of the pallet, a warped frame of the pallet, and damage to one or more items on the pallet.

Assignees

• Lineage Logistics Llc

Inventors

• Voegele Caitlin
• Wintz Daniel Thomas
• Atikian Haig
• Walet Daniël
• Micali Maxwell
• Mawer Chloe
• Philipsen Ben
• Raeymakers Stef
• Novitsky Natalie
• Li Michael Lingzhi
• Wolf Elliott Gerard
• Judson Gabe
• Mcmahon Tim
• Hansen Steve

Classifications

• H04N23/73

  by influencing the exposure time · CPC title

• H04N7/181

  for receiving images from a plurality of remote sources · CPC title

• G06T2207/20221

  Image fusion; Image merging · CPC title

• G06T7/0006

  using a design-rule based approach · CPC title

• B65G1/1376

  the orders being assembled on a commissioning conveyor · CPC title