CMOS Image Sensors in Cell Phones, Cars and Beyond. Patrick Feng General manager BYD Microelectronics October 8, 2013

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CMOS Image Sensors in Cell Phones, Cars and Beyond Patrick Feng General manager BYD Microelectronics October 8, 2013

BYD Microelectronics (BME) is a subsidiary of BYD Company Limited, Shenzhen, China. Formed in 2004, BME focuses on CMOS image sensors, touch solutions, power management IC, and power devices. 2

CONTENTS 1 CMOS Image Sensor (CIS) Markets 2 CIS Applications and Requirements 3 CIS Technical Efforts 3

CIS Shipment Forecast Source: Yole Development A compound annual growth rate of 11%, from $6.6 billion in 2012 to $2017 in 11 billion Wide range of diversified applications for integrated CMOS image sensors 500K wafers/moth capacity The new and emerging applications (tablets, cars, and smart TV and appliance, etc) at much higher growth rate 4

CMOS Image Sensor Applications Source: Yole Development Spectrum of applications from high volume/cost sensitive to low volume/performance driven Three areas are most active in demand, growth and innovation Solution requirements at chip architecture, circuit design, packaging and wafer process 5

Higher Resolution Resolution Requirements and responses: Higher resolution for differentiation with more pixel counts Improved performance in low light and sharpness Sensitive to cost Sharp J-SH04 CIF Nokia 650 VGA Sharp J-SH53 720P Casio A5403CA 2.0M Samsung SCH-W770 3.0M Nokia 520 5.0M Apple Iphone5 8.0M Sony LT26i 12.0M Nokia 808 41.0M Digital zoom 2000 2013 6

Camera Module Smaller 5.75mm (the world s thinnest) Vivo X3 (China) Vivo X3 Iphone5 8M camera w/ 5M front camera 5 LCD display iphone 5s at 7.3mm X3 Module Height 5.4mm 7

Sensor Pixel Size Smaller Lens Reduced pixel sizes are needed to meet higher resolution and shorter module Unit: μm 3.6 3.6 2.5 2.5 Processing circuit ( S(PD) / S(pixel) )% 1.75 1.75 1.4 1.4 1.1 1.1 Process 0.18μm 0.13μm 0.11μm 90nm 65nm Year 2007 2010 2012 2013 Module Height: Resolution Pixel Size (μm) Module Height(mm) VGA(BF3903) 2.0 2.0 2.6 5MP (FF,BF3A50,FSI) 8MP (AF, Sony, BSI) 1.4 1.4 4.7 1.1 1.1 4.9 8

Sensor Performance Challenge Resolution VGA VGA VGA 720P 2MP 5MP Pixel Size(μm) 6.0 6.0 3.15 3.15 2.25 2.25 1.9 1.9 1.75 1.75 1.4 1.4 Fill Factor 56% 46% 45% 42% 43% 30% Smaller pixel area, lower fill factor bring poor low light performance: New process improvement: Process low light performance 0.18μm 0.13μm 0.11μm 90nm 55nm Light guide and BSI Color filter(rgbw) For increased sensitivity Performance of 1.12um RGBW pixel equivalent to RGB 1.4um size pixel 9

Sensor Cost Efforts 8 Wafer (CMOS Image Sensor) Resolution Process Pixel Size (μm) Die numbers (pcs) VGA(BF3403) 0.18μm 2.8 2.8 2618 VGA(BF3703) 0.13μm 2.25 2.25 4784 VGA(BF3903) 0.13μm 2.0 2.0 5524 2MP(BF3920) 0.13μm 1.75 1.75 1716 5MP(BF3A50) 0.11μm 1.4 1.4 1134 Die counts 6000 5000 4000 3000 2000 1000 0 2618 2.8 2.8 0.18μm Industry s Effort and Results $0.34 4784 2.25 2.25 0.13μm $0.13 5524 2.0 2.0 0.13μm $0.12 Cost per Die $0.40 $0.35 $0.30 $0.25 $0.20 $0.15 $0.10 $0.05 $0.00 Die numbers(pcs) Cost per Die Cost reduction through wafer process and design improvement 10

Demanding Automotive Conditions Natural requirements Difficulties or needs Approaches Low light and night Low light sensitivity Passive/active Fog, rain, or snow Low visibility Gated imaging High speed Image blurring Sensitivity/frame rate High contrast High beams, sun Design/compensation High temperature High sensor noise Design/process High resolution Object recognition Design/process Distance sensing Collision warning TOF, stereo vision 11

Visual Assistance The national highway traffic safety administration (NHTSA) proposed a mandate by September 2014 all vehicles sold in the USA must have a rearview system However, there are concerns expressed by automakers of the costs associated with implementing proposed new standards The panoramic and rearview systems on BYD minivan M6 camera camera Camera 4 cameras on BYD minivan M6 camera 12

Night Vision According to the US national highway traffic safety administration (NHTSA) statistics, while driving at night time only accounts for a quarter of total drive time, but an accident causing death rate accounts for 1/2. Active system: IR assisted CMOS image sensor High dynamic sensing Power modulated The night vision system on BYD automobile 思锐 13

High Dynamic Range Exposure for interior Exposure for outdoor Efforts to improve drivers visual experience: Imager allows more details in both the bright and dark areas Without assisting light Real time and video form Improved dynamic range by a BYD sensor 14

Intelligent Automobile The automobiles are becoming more intelligent both for ease of driving and safety. Requirements from CIS: Object recognition Range sensing (optional by other means) All weather and day/night conditions Papago Signal and sign recognition Lane departure and collision warning/avoidance Google driverless car 15

Resolution and Frame Rate Global shutter, or high frame rate High resolution Papago 16

Rolling Shutter Effect CIS with rolling shutter exposes each line of pixels at different time, deforming the images of moving objects (with global shutter being the solution) Twin Peaks iphone Panorama MatrixVision2008 17

What To Do With CIS Anti-fog, rain or snow Anti-blooming 18

Row Decoder CIS Basic Architecture CIS architecture Image Core Pixel Array two-wire serial Interface SDA SCLK Column CDS Timing Control ASP 10-bit ADC Image Signal Processing Lens shading Bad pixel correction Gamma correction Auto exposure Auto white balance Bayer/ RGB5:6:5/ YCbCr4:2:2 VCLK HSYC VSYC BYD NTSC/PAL VGA To meet the application needs, Wafer processes toward finer features, lower leakage, broader spectral response Pixels with better fill factors, global switching, other functions Periphery circuits with faster gain, parallel ADC BYD 5MP 19

FSI With Light Guide Light Guide Process Standard FSI Standard FSI FSI with Light guide FSI with Light guide 480mV/Lux.s 600mV/Lux.s Sensitivity improvement of 25-45% Uniformity improvement of 30% Better sensitivity and uniformity 20

Light Guide & Deep Photo Diode Deep Photo Diode Process Full well & SNR improvement Standard Photo Diode Deep Photo Diode Light guide + Deep Photo Diode Full well ~4000e SNR ~36dB Full well ~6000e SNR ~38dB QE ~50% Sensitivity ~600mV/Lux.sec Full well ~6000e SNR ~38dB 21

Backside Illumination (BSI) Backside illumination: Improved fill factor Quantum efficiency and SNR improvement Improved crosstalk and corner response FSI BSI BSI image sensor accounted for 25% of total sales of CIS. The market share is expected to rise to above 70% in 2017, operating income increased to $ 7.7 billion. 22

Color Filters Standard pixel array (Bayer) A RGBW pixel array Higher sensitivity with 1.12um RGBW pixel equivalent to RGB 1.4um size pixel 23

Pixel and Array Architecture Standard Column-parallel Pixel-parallel High fill factor Limited frame rate Small pixel High fill factor Fast and accurate Low power Medium or small pixel size Column digitization Low fill factor High throughput Special applications Large pixel size 24

Global Shutter 4T pixel 5T pixel All pixels experience the same exposure, transfer the signals to individual storages for sequential readout Global shutter solves the problem of image tilting of moving objects by rolling shutter imagers Smaller fill factors in the pixel due to one or more transistors inside 25

High Dynamic Range large pixel and small pixel Intral frame & Inter frame Single-frame HDR: Captures lines of an image with different exposure times simultaneously and composes them into a single HDR image Fujifilm FinePix S3 Pro (CCD, 2004) HDR on Advantage: Disadvantage: Support of video and little cost overhead Limited improvement Multi-frame HDR: Composes multiple frames captured with different exposure times into a single HDR image. HDR off Advantage: Disadvantage: Unlimited frames with better result Motion blur, limited to still imaging 26

Summary CMOS image sensors for cellphones and automobiles/ surveillance present exciting but different types of challenges Collective efforts in wafer processing, imager design and system applications are providing end users better solutions There are areas that need technical solutions, especially for the automotive applications. 27

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