SlideShare a Scribd company logo
1 of 1
Projects
Solidstate zoom
Optimisedoptics+oversizedsensorproduceslowercost,smallerandtoughersolutionthan
mechanical zoom.Range of trade-offspossible,fromultra-low costgivingagooduserexperience
(NOTdigital zoom),all the waytono compromise (assoldinNokiaphone).Middle ground,using
some novel ideas,canachieve superbvalue formoney.
SuperZoom
Replacementforabove.SubjecttoNokiaemployeeconfidentialityagreement.
Performance estimatingtool
Uses earlyreadilyavailabledesigndatafrompotential supplierstoestimate performanceof whole
system,includingopticsMTF,shading,CRA,sensorSNRandoptical polarresponse,aperture,etc.An
estimatingtool,it providesimproved indicationof performance.Primarilytocompare different
supplierproposals.Italsoallowstrade-offstobe analysed,e.g.pixel sizevs.aperture size.
Hybrid pipeline
Thishas beensupersededbytechnologyadvances;integratedgraphicsaccelerationandmulticore
GHz processors.
Hardware pipeline is capable of beingthe lowestcost(unlessthere issubstantial spare processing
power).Poorsupportfornewestfeatures.
Software pipelineismostflexible.However,newestfunctionscanbe MIPSintensive.Atleast1
frame buffer,4is not unusual.LimitedMIPSprecludedlatestimprovements.
Separate ICis the bestperformance,combining(potentially)all of the flexibilityof asoftware
pipeline,butismostexpensive solutionof all.
Re-use graphicsaccelerationfunctions.Thisisnow averyviable solution.Itwasnot at the time of
thisproject.
Hybridpipelinecombinesbestof HWand SW pipeline,usinglow gate countprocessingblocksto
accelerate pipelinespeedsbyupto5 times.Xcentscost adder.Blockscan also be re-usedfore.g.
JPEG decode,genericvideodecode etc.
Camera technologytraining
For several yearsIprovidedtrainingoncameratechnologytonew camerateammembersand
phone developmentteams.Humanperceptionisthe greatestchallengeof all.

More Related Content

Viewers also liked (8)

The decline and fall of nokia
The decline and fall of nokiaThe decline and fall of nokia
The decline and fall of nokia
 
The rise and fall rise of nokia
The rise and fall  rise of nokiaThe rise and fall  rise of nokia
The rise and fall rise of nokia
 
Presentation on failure of nokia
Presentation on failure of nokiaPresentation on failure of nokia
Presentation on failure of nokia
 
Nokia strategy and marketing
Nokia strategy and marketingNokia strategy and marketing
Nokia strategy and marketing
 
Failure of nokia
Failure of nokiaFailure of nokia
Failure of nokia
 
NOKIA PRESENTATION
NOKIA PRESENTATIONNOKIA PRESENTATION
NOKIA PRESENTATION
 
Nokia product life cycle
Nokia product life cycleNokia product life cycle
Nokia product life cycle
 
Product life cycle of nokia mobiles
Product life cycle of nokia mobilesProduct life cycle of nokia mobiles
Product life cycle of nokia mobiles
 

Similar to Camera technology and innovation at Nokia for 10 years V3, projects

Vlsi 2015 2016 ieee project list-(v)_with abstract
Vlsi 2015 2016 ieee project list-(v)_with abstractVlsi 2015 2016 ieee project list-(v)_with abstract
Vlsi 2015 2016 ieee project list-(v)_with abstract
S3 Infotech IEEE Projects
 
APSys Presentation Final copy2
APSys Presentation Final copy2APSys Presentation Final copy2
APSys Presentation Final copy2
Junli Gu
 
Nexgen tech vlsi 2015 2014
Nexgen  tech vlsi 2015 2014Nexgen  tech vlsi 2015 2014
Nexgen tech vlsi 2015 2014
nexgentech
 
Ag o product overview
Ag o product overviewAg o product overview
Ag o product overview
Manoj Nagesh
 
NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...
NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...
NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...
Yole Developpement
 

Similar to Camera technology and innovation at Nokia for 10 years V3, projects (20)

Vlsi 2015 2016 ieee project list-(v)_with abstract
Vlsi 2015 2016 ieee project list-(v)_with abstractVlsi 2015 2016 ieee project list-(v)_with abstract
Vlsi 2015 2016 ieee project list-(v)_with abstract
 
Mastering AIOps with Deep Learning
Mastering AIOps with Deep LearningMastering AIOps with Deep Learning
Mastering AIOps with Deep Learning
 
Ieee 2015 2014 nexgen tech vlsi abstract
Ieee 2015 2014 nexgen  tech vlsi   abstractIeee 2015 2014 nexgen  tech vlsi   abstract
Ieee 2015 2014 nexgen tech vlsi abstract
 
BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS IN...
BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS IN...BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS IN...
BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS IN...
 
APSys Presentation Final copy2
APSys Presentation Final copy2APSys Presentation Final copy2
APSys Presentation Final copy2
 
Wireless Sensor Network
Wireless Sensor NetworkWireless Sensor Network
Wireless Sensor Network
 
Segmented Sigma Delta DAC using Coarse and Fine Architecture
Segmented Sigma Delta DAC using Coarse and Fine ArchitectureSegmented Sigma Delta DAC using Coarse and Fine Architecture
Segmented Sigma Delta DAC using Coarse and Fine Architecture
 
dfma_seminar
dfma_seminardfma_seminar
dfma_seminar
 
VLSI IEEE Transaction 2018 - IEEE Transaction
VLSI IEEE Transaction 2018 - IEEE Transaction VLSI IEEE Transaction 2018 - IEEE Transaction
VLSI IEEE Transaction 2018 - IEEE Transaction
 
An Investigation towards Effectiveness in Image Enhancement Process in MPSoC
An Investigation towards Effectiveness in Image Enhancement Process in MPSoC An Investigation towards Effectiveness in Image Enhancement Process in MPSoC
An Investigation towards Effectiveness in Image Enhancement Process in MPSoC
 
BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS I...
 BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS I... BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS I...
BULK IEEE PROJECTS IN VLSI ,BULK IEEE PROJECTS, IEEE 2015-16 VLSI PROJECTS I...
 
Nexgen tech vlsi 2015 2014
Nexgen  tech vlsi 2015 2014Nexgen  tech vlsi 2015 2014
Nexgen tech vlsi 2015 2014
 
Ag o product overview
Ag o product overviewAg o product overview
Ag o product overview
 
Synopsys Fusion Compiler-Comprehensive RTL-to-GDSII Implementation System
Synopsys Fusion Compiler-Comprehensive RTL-to-GDSII Implementation SystemSynopsys Fusion Compiler-Comprehensive RTL-to-GDSII Implementation System
Synopsys Fusion Compiler-Comprehensive RTL-to-GDSII Implementation System
 
NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...
NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...
NanoLambda NSP32-V1 Nano Spectrometer 2017 teardown reverse costing report pu...
 
PARTIAL PRODUCT ARRAY HEIGHT REDUCTION USING RADIX-16 FOR 64-BIT BOOTH MULTI...
PARTIAL PRODUCT ARRAY HEIGHT REDUCTION USING RADIX-16 FOR 64-BIT BOOTH MULTI...PARTIAL PRODUCT ARRAY HEIGHT REDUCTION USING RADIX-16 FOR 64-BIT BOOTH MULTI...
PARTIAL PRODUCT ARRAY HEIGHT REDUCTION USING RADIX-16 FOR 64-BIT BOOTH MULTI...
 
Fpga implementation of truncated multiplier for array multiplication
Fpga implementation of truncated multiplier for array multiplicationFpga implementation of truncated multiplier for array multiplication
Fpga implementation of truncated multiplier for array multiplication
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
F1074145
F1074145F1074145
F1074145
 
Adaptive weight factor estimation from user review 1
Adaptive weight factor estimation from user   review 1Adaptive weight factor estimation from user   review 1
Adaptive weight factor estimation from user review 1
 

Camera technology and innovation at Nokia for 10 years V3, projects

  • 1. Projects Solidstate zoom Optimisedoptics+oversizedsensorproduceslowercost,smallerandtoughersolutionthan mechanical zoom.Range of trade-offspossible,fromultra-low costgivingagooduserexperience (NOTdigital zoom),all the waytono compromise (assoldinNokiaphone).Middle ground,using some novel ideas,canachieve superbvalue formoney. SuperZoom Replacementforabove.SubjecttoNokiaemployeeconfidentialityagreement. Performance estimatingtool Uses earlyreadilyavailabledesigndatafrompotential supplierstoestimate performanceof whole system,includingopticsMTF,shading,CRA,sensorSNRandoptical polarresponse,aperture,etc.An estimatingtool,it providesimproved indicationof performance.Primarilytocompare different supplierproposals.Italsoallowstrade-offstobe analysed,e.g.pixel sizevs.aperture size. Hybrid pipeline Thishas beensupersededbytechnologyadvances;integratedgraphicsaccelerationandmulticore GHz processors. Hardware pipeline is capable of beingthe lowestcost(unlessthere issubstantial spare processing power).Poorsupportfornewestfeatures. Software pipelineismostflexible.However,newestfunctionscanbe MIPSintensive.Atleast1 frame buffer,4is not unusual.LimitedMIPSprecludedlatestimprovements. Separate ICis the bestperformance,combining(potentially)all of the flexibilityof asoftware pipeline,butismostexpensive solutionof all. Re-use graphicsaccelerationfunctions.Thisisnow averyviable solution.Itwasnot at the time of thisproject. Hybridpipelinecombinesbestof HWand SW pipeline,usinglow gate countprocessingblocksto accelerate pipelinespeedsbyupto5 times.Xcentscost adder.Blockscan also be re-usedfore.g. JPEG decode,genericvideodecode etc. Camera technologytraining For several yearsIprovidedtrainingoncameratechnologytonew camerateammembersand phone developmentteams.Humanperceptionisthe greatestchallengeof all.