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DR JOUNI RONKAINENDR SUDEEP SUNDARAM

SPOOKFISH INNOVATIONS

Don’t Make Me ThinkTRANSFORMING AUTOMATED INSPECTION USER EXPERIENCE

TECHNICAL FORUM, WORLD MONEY FAIR

BERLIN, 30th JANUARY 2020

OutlineRecap 2019: Intelligent Machines

Introduction: Complexity in Visual Inspection

Interface Mappings

Smart Operations

Internet of Things

Solution: Microps C/X/Xi

Intelligent Machines[Technical Forum 2019]

MACHINE LEARNING IN VISUAL INSPECTION

EVALUATION OF 4 METHODS

EVALUATION CRITERIA:

MANUAL EFFORT | SAMPLE SIZE | ACCURACY

CONCLUSION:

COMBINATION OF AUTOMATION AND MANUAL

INPUT YIELDS BEST RESULTS

Visual Inspection Complexity

“In 18 months, the time required to train a large image classification system on cloud infrastructure has fallen from about three hours in October 2017 to about 1.5 minutes in July, 2019.”

[“The AI Index 2019 Annual Report”]

VISUAL INSPECTION

MACHINE INTELLIGENCE

MACHINE USABILITY

TWO SIDES OF THE SAME COIN!!

CONTINUOUS INNOVATION

RAPID GROWTH IN HARDWARE

CAPABILITY

INCREASING AUTOMATION

ROOM FOR IMPROVEMENT

INTUITIVE OPERATION &

USABILITY ARE CRITICAL

Interface MappingsIntuitive

‘Metaphorical’ mappings from real world

experience promotes intuitive interface

between operator and machine.

Example: “WHERE?” and “HOW MUCH?”

UNCLEAR

CORRESPONDENCE

NON-INTUITIVE CONTROLS

NO VISUAL FEEDBACK

CLEAR CORRESPONDENCE

INTUITIVE LINEAR SLIDE

FOR CONTROL

CLEAR VISUAL FEEDBACK

Interface MappingsIntuitive

BIN SORTING APPLICATION

“WHAT?” MACHINE INTELLIGENCE

“HOW MUCH?” MACHINE INTELLIGENCE

“WHERE?” USER INPUT

SPOOKFISH INNOVATIONS 7

Interface MappingsCoin Inspection

Mapping challenges with visual inspection:

- Numerous settings

- Dynamic for each variant

- Limited ‘feedback’

“Operator error is the second-most

common cause of downtime”

Deon McHatton, Sage Automation 2017

CHALLENGES & SOLUTIONS

SETTINGS:

SEMI-SUPERVISED LEARNING

[MACHINE INTELLIGENCE]

[USER INPUT]

DYNAMISM OF SETTINGS:

RECIPES & RECALL

[MACHINE USABILITY]

FEEDBACK:

CLEAR, PRESENT VISUAL FEEDBACK

REMOTE OPERATION & MONITORING

[MACHINE USABILITY]

Smart OperationSemi-Supervision

Auto-Calibration Demonstration

LESS DOWNTIME

LESS FALSE REJECTS,

INCREASING YIELD

REDUCED DEPENDENCY ON

TRAINING

“Downtime costs the manufacturing industry

nearly $650 billion every year.”

[International Society of Automation]

Smart OperationMint Recipe Generation

Automatic Mint Generation Demonstration

LESS DOWNTIME

LESS FALSE REJECTS,

INCREASING YIELD

REDUCED DEPENDENCY ON

TRAINING

“Downtime costs the manufacturing industry

nearly $650 billion every year.”

[International Society of Automation]

Smart OperationRemote Access

“Global spending on IoT Platforms for Manufacturing is to grow from $1.67B in 2018 to $12.44B in 2024”

TRACEABILITY

OPEN ACCESS/REPORTING

INCREASED OPERATOR UTILITY

Internet of ThingsPredictive Maintenance

* Research obtained from Mckinsey (https://www.researchgate.net/profile/Alissa_Antle/publication/272354791_What_is_Intuitive_Interaction_Balancing_Users'_Performance_and_Satisfaction_with_Natural_User_Interfaces/links/54e2dd5e0cf2c3e7d2d4c879.pdf)

“...the potential for companies to increase asset availability by 5-15 percent, and reduce maintenance costs by 18-25%.”

[Beyond predictive maintenance, McKinsey&Company Oct 2018]

REDUCTION IN DOWNTIME (15%)

INCREASE IN MACHINE LIFE (20%-40%)

INCREASE IN YIELD

REDUCTION IN OPERATIONAL COST

MICROPS CHigh Speed coin classification and sorting

based on currency, denomination or feature.

MICROPS X/XiStandalone and inline minted and

blank coin inspection

VISIT US - T15!

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