dr. kahlil muchtar electrical and computer engineering
TRANSCRIPT
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I N O V A T I F - M A N D I R I - T E R K E M U K A
Product Inspection through Machine Learning
Dr. Kahlil Muchtar
Electrical and Computer Engineering
Telematics Research Center
Universitas Syiah Kuala
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I N O V A T I F - M A N D I R I - T E R K E M U K A
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I N O V A T I F - M A N D I R I - T E R K E M U K A
Outline
❑ Pengenalan❑ Manufaktur Cerdas❑ Metode mendeteksi cacat pada produk❑ Evaluasi dan diskusi❑ Kesimpulan
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Revolusi Industri 4.0 di Indonesia
Dalam sektor industri 4.0, akan banyak kegiatan industri
yang mulanya dilakukan masih mengandalkan tenaga
manusia akan beralih ke tenaga mesin digital dan
berteknologi canggih, sehingga berpotensi menggeser
peran tenaga manusia di sektor industri. Untuk
menjawab tantangan itu, Menteri Pendidikan dan
Kebudayaan (Mendikbud) Nadiem Makarim bersama
dengan tim meluncurkan program pendidikan "Merdeka
Belajar: Kampus Merdeka". Program Kampus Merdeka
sendiri dibuat untuk mempersiapkan sumber daya
manusia (SDM) sehingga mempunyai talenta yang
adaptif di zaman Revolusi Industri 4.0.
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Perkembangan Revolusi Industri 4.0
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The era of RI 4.0
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Evolusi AI
• Expert Systems
• Artificial Neural Networks
• Fuzzy Logic Systems
Traditional AI
First Wave
Traditional Programming
Second Wave
Neural Nets – Deep Learning Cognitive Architectures
Third Wave
• Short- and Long-term Memory
• Pattern Matching
• Prediction
• Prioritization
• Reasoning, Planning, and many others
• All of the above
Artificial General Intelligence (General AI)
• Big Data Analytics
• Deep Learning
Narrow AI
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Deep Learning Explosion
I N O V A T I F - M A N D I R I - T E R K E M U K A
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Deep Learning vs Machine Learning
I N O V A T I F - M A N D I R I - T E R K E M U K A
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Deep Learning: Face Recognition
I N O V A T I F - M A N D I R I - T E R K E M U K A
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Lingkungan Cerdas (Smart Environment)
Self-learning Condition Monitoring
Wireless Networked Automation
CRITICAL ISSSUES:
• Identification
• Sensing or Data Acquisition
• Wireless Communication
• Low Energy
• Energy Harvesting
• Bandwidth
• Interact & Control (Ux)
• Intelligence
• Interoperability
• Analysis / Big Data
• Security / Privacy
Source: Fraunhofer IIS, EAS Division, Germany
Wireless Sensing, Connected
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Manufaktur Cerdas (Smart Manufacturing)
Solution
Components
• CPS
• Self-configuration
• Virtual representation
• Context-aware
• Information
management
Benefits
• Increased flexibility
and agility
• Coping with
complexity
New customer order: We need
an extra shift on Saturday.
I need to go home
now. Who can take
over my orders?
I can work on
Saturday.
Sorry, I’m not
available on Saturday.
I have to be at the goods
issue in 2 hours!
I’m booked out till
Friday!
Magazine will be empty
soon, please refill!
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Source: http://www.gereports.com/ Source: ThingWorx
Source: http://www.fastwayengineering.com/digital-twin/
PREDICTIVE MAINTENANCE
https://authentise.com/news/tag/digital-twin/
Source: GE Look ahead Posted September 30, 2015
https://cmfenews.com/
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MECHANICAL OR ELECTRONIC?
COMPLEX COMPUTER ON FOUR-WHEELS
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COLLABORATIVE CLOUD ROBOT (COBOT)
• No integration
• No programming
• Work intelligently
• No need to be in the cage
• Robot OS: extendable platform
• Cloud robot
Source: Rethink Robotics
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Automatic Optical Inspection
Automatic Optical Inspection (AOI) plays an important role in the steel making industry. AOI
techniques are used to inspect the surfaces of objects to reduce defective products with high
precision and speed. In the inspection process, an AOI device acquires image of the object
under inspection using an optical imaging system, and then identifies the type of defects by
matching the input image with known template.
Wang, F. et al. 2019
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Industrial Problem
Background and foreground defects (marked) of steel image as illustrated above, the main
challenge is to detect and locate defects as positive examples with varying sizes in a wide
background area as negative example.
Positive example
Negative example
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Result Comparison
The experimental results showed the performance propose pipeline detected three type of defect
location with higher confidence score. The system also can detected smoothly different scale or
size of defects location.
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Kesimpulan
I N O V A T I F - M A N D I R I - T E R K E M U K A
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FUTURE TECHNOLOGICAL ENVIRONMENT
IoTLiquefaction of the
physical world
DataThe new mines
Big Data AnalyticsThe new math
BlockchainThe new Internet of
value and ownership
Computational
Thinking
BioThe new digital
Towards
Outcome Economy
and Pull Economy
Evolving …
AIReplacing jobs
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Thank You
I N O V A T I F - M A N D I R I - T E R K E M U K A