Invention Grant
- Patent Title: Systems and methods for detecting waste receptacles using convolutional neural networks
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Application No.: US16758834Application Date: 2018-10-18
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Publication No.: US11527072B2Publication Date: 2022-12-13
- Inventor: Justin Szoke-Sieswerda , Kenneth Alexander McIsaac , Leo Van Kampen
- Applicant: McNeilus Truck and Manufacturing, Inc.
- Applicant Address: US MN Dodge Center
- Assignee: McNeilus Truck and Manufacturing, Inc.
- Current Assignee: McNeilus Truck and Manufacturing, Inc.
- Current Assignee Address: US MN Dodge Center
- Agency: Foley & Larnder LLP
- International Application: PCT/CA2018/051312 WO 20181018
- International Announcement: WO2019/079883 WO 20190502
- Main IPC: G06V20/56
- IPC: G06V20/56 ; B25J9/16 ; B25J19/02 ; B65F3/04 ; G06K9/62 ; G06N3/04 ; G06N3/08 ; B65F3/02

Abstract:
Systems and methods for detecting a waste receptacle, the system including a camera for capturing an image, a convolutional neural network, and processor. The convolutional neural network can be trained for identifying target waste receptacles. The processor can be mounted on the waste-collection vehicle and in communication with the camera and the convolutional neural network configured for using the convolutional neural network. The processor can be configured for using the convolutional neural network to generate an object candidate based on the image; using the convolutional neural network to determine whether the object candidate corresponds to a target waste receptacle; and selecting an action based on whether the object candidate is acceptable.
Public/Granted literature
- US20200342240A1 SYSTEMS AND METHODS FOR DETECTING WASTE RECEPTACLES USING CONVOLUTIONAL NEURAL NETWORKS Public/Granted day:2020-10-29
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