"understanding camera subsystems for your embedded vision system and making the right...
TRANSCRIPT
Copyright © 2016 Basler AG 1
Gerrit Fischer
Understanding Camera Subsystems for Your Embedded Vision System… and
Making the Right Choice
Copyright © 2016 Basler AG 2
Copyright © 2016 Basler AG 3
Agenda
1. Objectives
2. Company – Basler AG
3. Vision Systems –> Camera Subsystem
4. Conclusion
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Company Introduction — Basler AG
www.baslerweb.com
No1 in
Machine Vision
>200.000 cameras/year
>500 employees
Made in
Germany
Copyright © 2016 Basler AG 5
Vision Systems -> camera subsystems
Under the covers
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• Computer Vision
• Research and fundamental technology for
extracting meaning from images
• Machine Vision
• Factory applications
• Embedded Vision
• Extraction of meaning from visual inputs,
creating machines that see and understand
• Cross Sectional technology
Vision Systems — Definitions
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Vision Systems — Definitions
Light Lens Camera PC Cable
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Vision Systems — Camera Subsystems
Camera Housing
=
Sensor
Front-End
+
Interface
Back-End
+
Firmware
+
Board-level Camera for embedded Vision
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Vision Systems
Processing Board
Board – Level
Camera
Flat Flex Cable
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Camera Subsystems
Critical components
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Subsystems — Image Sensors
Measurement Viewing
CCD vs CMOS Rolling vs Global Shutter Industrial vs Consumer
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Subsystems — Sensor suppliers
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Price Speed
Image Quality
Subsystems — Sensor suppliers
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Vision Systems — Image quality
• Standard for
comparing cameras
and image quality
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Vision Systems — Image quality
• Standard for
comparing cameras
and image quality
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Standard vs Proprietary — Interfaces
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Common APIs (e.g. C++)
Configuration and Grabbing Configuration
Standard vs Proprietary — Interfaces
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• Price
• Data Format
• Processing
• Image Quality
• Integration Effort
• Scalability
• Availability
$
$$
Board-Level Camera
Sensor Frontend
Standard vs Proprietary
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Conclusion
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Conclusion
• Critical Components of a camera subsystem are specifically:
Image Sensor Interface Vision Architecture
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Conclusion
Embedded
Standard 1-100
>10000
System BOM
Cost per Unit R&D Cost Volume
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Resources
• Creating Smarter, More Interactive Apps and Systems with Computer
Vision—Jeff Bier, Founder, Embedded Vision Alliance / President, BDTI
Augmented World Expo—June 8, 2015
http://www.embedded-vision.com/academy/20150608d_AWE_Bier-
with-post-event-updates.pdf
• Genicam: http://www.emva.org/standards-technology/genicam/
• EMVA 1288: http://www.emva.org/standards-technology/emva-1288/
• AIA—global machine vision interface standards:
http://www.visiononline.org/filesDownload.cfm?dl=Global_MV_Stand
ards_English_brochure.pdf