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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

2



Intelligent Machines[Technical Forum 2019]

3

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

4

“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?”

5

UNCLEAR

CORRESPONDENCE

NON-INTUITIVE CONTROLS

NO VISUAL FEEDBACK

CLEAR CORRESPONDENCE

INTUITIVE LINEAR SLIDE

FOR CONTROL

CLEAR VISUAL FEEDBACK



Interface MappingsIntuitive

6

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’

8

“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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