Invention Grant
- Patent Title: Machine-learning based continuous camera image triggering for quality assurance inspection processes
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Application No.: US17341355Application Date: 2021-06-07
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Publication No.: US12131459B2Publication Date: 2024-10-29
- Inventor: Dat Do , Arye Barnehama
- Applicant: Elementary Robotics, Inc.
- Applicant Address: US CA South Pasadena
- Assignee: Elementary Robotics, Inc.
- Current Assignee: Elementary Robotics, Inc.
- Current Assignee Address: US CA South Pasadena
- Agency: Jones Day
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06N20/00 ; G06T7/20

Abstract:
Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Thereafter, it is detected whether there is an object within each image. Based on this detection, images in which each object is detected that meet predefined object representation parameters are identified (on an object-by-object basis, etc.). The identified images are provided to a consuming application or process for quality assurance analysis. Related apparatus, systems, techniques and articles are also described.
Public/Granted literature
- US20220392055A1 Machine-Learning Based Continuous Camera Image Triggering for Quality Assurance Inspection Processes Public/Granted day:2022-12-08
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