SlideShare a Scribd company logo
1 of 58
Lens and Image Sensor
Technology
Release department: ICB MKT | AVer Information Inc. | www.aver.com | 2013-01-23




               Internal Only (including branch offices)
Agenda

       • Lens Technology
              –   Lens & Mounting
              –   Lens Types
              –   Focal Length, Aperture, Depth of Field & View Angle
              –   Lens vs. IR Light

       • Sensor Technology
              – CMOS vs. CCD
              – Interlaced vs. Progressive

       • Lighting vs. Image Quality
              –   Shutter vs. Gain Control
              –   Denoise
              –   Backlight Compensation vs. Wide Dynamic Range
              –   Other factors affecting image quality
© AVer Information Inc.
Lens Technology



© AVer Information Inc.
Image Processing

                                                      SoC     CPU
                                       DSP for                       WLAN or
                          Image                  (video/audio
                Lens                    Image                        Ethernet/     LAN/
                          Sensor                 compression)
                                      processing                        PoE        Internet
                                                   Flash    DRAM
                                                  128MB 128/256MB


     Capturing                     Encoding                         Streaming
     Light (optical image)         The processed video is           Images are transmitted
     passes through the            compressed by a Digital Signal   in a single or multiple
     lens and falls on the         Processing (DSP) to achieve a    streams in pre-set
     sensor that converts          smaller data size for optimal    resolution, frame rate
     it into electrical            transmission. Signals can be     and image quality via
     signals (where                compressed and encoded into      an Ethernet cable to
     cropping of ePTZ              H.264 / MJPEG / MPEG-4           the remote site via
     images take place; or         formats.                         LAN or Internet.
     some in SoC)
© AVer Information Inc.
Camera Lens
       Camera Lens is the fundamental component that determines
       image quality
       • Factors affecting image quality
              • light source of the environment
              • Lens
              • Sensor
              • compression engine
              • bandwidth
       • Most Box type IP cameras are designed to adapt interchangeable external
         lenses to allow system installers to select and purchase lens that best fits
         their specific needs


© AVer Information Inc.
Lens Technology

           Lens & Mounting



© AVer Information Inc.
Lens Mount Type
       Some lens mounts enables the interchange of external lens
       • Board-mount – lens is not interchangeable and is mounted directly on
         the circuit board. They are less versatile and can be very small (M12,
         M14 or M19). For example, bullet, dome and fisheye cameras.
       • C-mount – 17.526mm FFD (more expensive)
       • CS-mount – 12.5mm FFD; mostly ≥ 2M (cheaper)
       *FFD stands for flange focal distance (i.e. distance between lens mount and sensor)
       *Speed domes use zoom lens modules




                  Board-mount lens             C-mount lens                 CS-mount lens
© AVer Information Inc.
C-mount vs. CS-mount Lenses
       Box type cameras can support both C-mount and CS-mount
       lenses with the use of C-ring (5mm spacer ring)

                             Lens Type      C-mount      CS-mount
         Camera Type                     FFD 17.526mm   FFD 12.5mm

                          C-mount                 yes      no



         Camera           C/CS-mount              yes      yes


                                                                     manufacturer’s
                          CS-mount       C-ring            yes       tuning ring




© AVer Information Inc.
CS-mount Camera vs. C-mount Lens

            The use of adapter ring helps to get the image into focus

                                                light rays
                             light rays



      C-mount lens                                              C-mount lens


                                                                C-ring
                                  17.526mm           17.526mm
        Image out
         of focus
                               sensor            sensor

                          CS-mount camera    CS-mount camera
© AVer Information Inc.
C/CS-mount Camera vs. C-mount Lens
       Sometimes with the use of the adapter ring, because of the difference in the
       distance between the lens and the sensor, the image quality may be affected.
       C/CS-mount cameras come with built-in flange-back adjustment ring that can
       adjust the distance between the lens and the sensor with a switch.



                                                    C-mount lens




                                                       Flange-back
                                      sensor           adjustment
              sensor
                                                       ring
               Adjustable C/CS-mount camera
       *Some advanced IP cameras can remotely adjust the back focus.
© AVer Information Inc.
Lens Form Factor vs. Sensor
           sensor size       1/4”             1/3”            1/2.5”            1/2“
             diagonal        4mm              6mm             7.18mm            8mm
               width        3.2mm            4.8mm            5.76mm           6.4mm
              height        2.4mm            3.6mm            4.29mm           4.8mm
       Sensor sizes are specified by its diagonal length. Sensor size given in inches
       employs sensor’s outer glass diagonal as a base, not a real diagonal.




      1/4” lens & 1/3” sensor       1/3” lens & 1/3” sensor      1/2” lens & 1/3” sensor
      The field of view (FOV)       Lens size matches with       The angle of view of the
      is narrower with black        the sensor = optimized       lens is not fully utilized
      corners                       image quality
       *Example: If an IP camera adapts a 5M sensor with a 3M lens, the image quality may
       be similar to that of a 2.5M IP camera.
© AVer Information Inc.
Lens Technology

           Lens Types



© AVer Information Inc.
Types of Lens
       Fixed lens
       Lens with constant focal length
       that cannot be adjusted                      fixed lens
                                                                 adjust tele/wide

       Vari-focal lens
       Lens with adjustable focal
       length and manual focus is        vari-focal lens
       required

       Zoom lens
       Subtype of vari-focal lens and
       some zoom lenses come with
       the auto focus feature, such as
       speed domes.                         zoom lens

© AVer Information Inc.
Lens with Fixed / Manual Iris
       Iris is used to control the light level to the image sensor, ensuring the image is sharp,
       clear and correctly exposed with good contrast and resolution.

       Fixed iris
       The size of the iris cannot be adjusted and is                         a look at the iris
       suitable for indoor applications where the light
       level is constant. The camera can compensate
       for changes in the level of light by adjusting the
       exposure time or using gain.
                                                                                       Source: ACTi

       Manual iris                                                         Fixed iris lenses
       can be manually adjusted the iris size and is
       used in stable lighting conditions. (Unlike the
       auto-iris lenses, its lens does not have a cable.)

                                                                     Manual iris lens
© AVer Information Inc.
Lens with Auto Iris
       Auto-iris
       There are 2 types of auto-iris lenses: DC-drive iris and
       video-drive iris. Both are motor-driven with auto-
       adjustable iris openings that responds to changes in light
       levels. They are recommended for use in inconsistent
       lighting conditions (e.g. outdoors). However, the control
       cannot be made available to the camera or user.
                                                                     DC-drive iris lens
       DC-drive iris
       The iris opening is controlled via DC current with drive
       circuit inside the camera
       Video-drive iris
       The iris opening is controlled with drive circuit built in
       the lens (mostly used in analog cameras)                     Video-drive iris lens

© AVer Information Inc.
Lens with Auto Iris – P-iris
       P-iris (Precise Iris)
       P-iris lens is to be a replacement of DC-drive iris that it uses
       a motor which allows the position of the iris opening to be
       precisely controlled. Together with software that is
       configured to optimize the performance of the lens and
       image sensor, it automatically provides the best iris position
       for optimal image quality in all lighting conditions.                          motor inside


       It provides improvements in contrast, clarity, resolution and                     P-iris lens
       depth of field, and is ideal for the monitoring of long
       corridor or parking lot.
       Prevailing scenario: In bright situations, P-Iris limits the closing of the iris to avoid
       blurring (diffraction) caused when the iris opening becomes too small. This can
       typically happen in cameras that use DC-iris lenses in combination with megapixel
       sensors that have small pixels.
© AVer Information Inc.
Lens Technology

           Focal Length, Aperture,
           DOF & View Angle


© AVer Information Inc.
Focal Length (f) vs. F-number (F/no)
                                                       camera                  sensor lens
                                                                                                 light
        Focal Length (f)
        distance between focal point (sensor)
        and optical center (lens)
        for example: f=3~9mm                                                                  optical
                                                            focal point
                                                                                              center
                                                                               focal length

        F-number (F/no)
        (a.k.a. F-stop or relative aperture)                    aperture
        the amount of light getting through the                 iris
        aperture, controlled by the sizing of an
        iris
                            focal length (f)                            iris
         F/no =                                                                                 retina
                     diameter of the aperture (mm)     pupil (aperture –                      (sensor)
                               or iris size          opening of the iris)

                                                                       lens
© AVer Information Inc.
Depth of Field (DOF)
       DOF is a range of distance in which object is acceptably sharp
       and can be adjusted by sizing the iris (aperture)

                  Depth of Field = Front Depth of Field + Rear Depth of Field

               Front DOF is the distance in front the object that is acceptably sharp
               Rear DOF is the distance behind the object that is acceptably sharp




                                  front depth of field
                            rear depth of field
                                                               focal depth
                          Depth of Field

               Focal depth is the distance over which the sensor can be displaced
               while the object stays acceptably sharp.
© AVer Information Inc.
Depth of Field – Applications
    Depth of Field           F/no              Iris Size                      focal length (f)
           short          Small (F1.2)          large          F/no =
                                                                      diameter of the aperture (mm)
            long          Large (F22)           small                           or iris size




                                         smaller F/no                                 bigger F/no
     Applications:                                         Applications:
     • Tollgate (license plate)                            • office space / passageways
     • front door / courtyard (where the                   • outdoor parking lot
       record of passersby is not allowed)                 • 24hrs outdoor surveillance
© AVer Information Inc.
Depth of Field – Adjusting Focus
       When a camera is installed at day time, the iris size is usually set to small
       (longer DOF). A camera with auto iris will auto adjust at night to allow more
       light to come through, thus decreasing the DOF. If the focus was not adjusted
       to its best position, the blurring effect will be even more obvious at night time.

              depth of field                         depth of field
                                DAY                                   NIGHT


                   ideal focus position                  ideal focus position
             adjusted focus position               adjusted focus position




© AVer Information Inc.
Angle of View
       The shorter the focal length or
       the larger the sensor, the bigger                     FOV
       the angle of view.
       • It can be measured horizontally (image          shorter focal length
         width) and vertically (image height) or
         diagonally (a.k.a. Field of View, FOV)



       Tele vs. Wide                               angle of view lens sensor
       97.9°(W)~23.6°(T) (vertical)
       Tele (T) – minimum angle of view
       Wide (W) – maximum angle of view

                                                         longer focal length
© AVer Information Inc.
Lens Technology

           Lens vs. IR Light



© AVer Information Inc.
IR-Cut Filter Removable (ICR)
       Infrared (IR) Light
       Though it is not visible to the human eye,
       may downgrade image quality during
       day-time by distorting colors; however, it
       can be used to improve visibility under
       low lightening conditions.

       ICR adjusts infrared light access to the camera
       • Digital ICR
            a digital filter and the performance is not very impressive

       • Mechanical ICR
            a mechanical shutter placed between the camera sensor and the lens, that is
            controlled by a motor or an electromagnet

© AVer Information Inc.
ICR (Day / Night)


     Day-time
                                                 ICR removed             ICR on

                          It blocks infrared light and allows only visible light to pass through


   Night-time
       or
  low lighting                                   ICR on                  ICR removed

                          ICR is disabled/removed and the live the image will become
                          black & white, which is more sensitive to infrared light
  * However, the image may be blurred and can be adjusted with an IR corrected lens.
© AVer Information Inc.
IR Corrected Lens
 Since visible light is composed of lights of various wavelengths, with a single
 lens, light is bent in the same way as with a prism and the focal lengths of
 lights with different wavelengths vary. As a result, not all light rays reach the
 same point (focal point), which causes chromatic aberration.

 IR Corrected Lens (type of Chromatic Lens)
 The purpose is to compensate for the focus shift by
 matching the focal lengths of two different
 wavelengths (e.g. visible & IR lights) to reduce the
 chromatic aberration to a certain extent. However,
 lights of other wavelengths have different focal
 lengths and result in residual chromatic aberration,
 which is known as the secondary spectrum.
                                                           image source:
                                                           Microscopy Resource Center
Extra-low Dispersion (ED) Lens (色散)
 Extra-low Dispersion Glass (ED Lens)
 It a more a expensive and higher-quality glass that reduces chromatic
 aberrations, or optical color defects (fringing) to a remarkable degree thus
 helps the lens to always stay in focus. It is most suitable for day & night and
 those with telephoto lens IP cameras.




                                                         image source: Nikon
Sensor Technology



© AVer Information Inc.
What is a Sensor?
       Sensor is a camera component converting optical image into electrical signal.
       It is made up of many photo-sites and each photo-site corresponds to a picture
       element (pixel). Each pixel registers the amount of light it is exposed to and
       converts it into a corresponding number of electrons. The brighter the light,
       the more electrons are generated.
                                        Sensor Type
                          CCD                              CMOS
        – higher power consumption      + low power consumption
        – more expensive (Japanese      + cheaper
          patents)                      + more integration possibilities & functions

       It should be noted that sensor technology is evolving
       dynamically and the differences between both sensor
       types are becoming smaller. This is why both types
       should be considered a potential choice in the future.
© AVer Information Inc.
Scanning
       Scanning is a process of building image by camera sensor as
       well as displaying it by monitors and TVs.

       Interlaced Scanning

                          +

           odd lines          even lines

       Progressive scanning




© AVer Information Inc.
Interlaced Scanning
       Interlaced scanning
        two fields of lines are been processed at the same time: a field displaying
         the odd lines, and a second field displaying the even lines
        only half the number of lines (alternating between odd and even lines) of
         an image is sent at a time, which reduces the use of bandwidth by half
        may creates artifacts or distortions as a result of ‘missing’ data (though
         not noticeable on interlace monitors)



                          +                         =
         odd lines                 even lines        distorted image or blurred   actual image
       *1080i represents 1080 lines interlaced; 720i does NOT exist.
© AVer Information Inc.
Progressive Scanning
 Progressive scanning (*all IP cameras adopt progressive CMOS cameras)
  values are obtained for each pixel on the sensor and image data is scanned
   sequentially line by line, producing a full frame image
  entire image frame can be sent over a network but requires higher bandwidth
  best for presenting moving objects




 *720p represents 720 lines progressive; 1080p represents 1080 lines progressive
Lighting vs. Image Quality



© AVer Information Inc.
Lighting vs. Image Quality

           Shutter vs. Gain Control



© AVer Information Inc.
Exposure
       Exposure of an image refers to the amount of light that falls
       on an image sensor
       • exposure is dependant upon the shutter speed and aperture
       • longer exposure time produces better image in low lighting conditions,
         however it is susceptible to motion blur
       • shorter exposure time is recommended for capturing fast movement

       The exposure settings of an IP
       camera includes
       • gain control
       • shutter speed
       • usually the iris size / aperture is not
         configurable
© AVer Information Inc.
Auto Gain Control
       Gain control is basically a form of amplification where the
       camera will boost the image received so the object can be
       seen more clearly and is critical in low lighting conditions

       Automatic Gain Control (AGC)
       • auto amplifies video signal when its strength falls below minimal value
       • as the image gets brighter, more noise is produced
       • as gain increases, the bandwidth consumption increases, and CBR or VBR
         with a bandwidth cap can be applied to minimize the negative side effects
          video loss or missing pixels

       Denoise features can help to reduce the noise as well as reduce
       the bandwidth consumption
       *a.k.a. ISO value in optical
© AVer Information Inc.
Auto Electronic Shutter (AES)
       A camera’s shutter determines when the camera sensor will
       be open or closed to the incoming light (exposure time)

       Shutter Speed
       The duration that light is permitted to enter the camera
       and is usually described using fractions of seconds (e.g.
       1/30s, 1/300s).                                              Quick shutter results
                                                                   in short exposure time
       Auto Electronic Shutter (AES)
       It is used in IP cameras where the iris remains fixed,
       allowing the shutter speed to automatically adjust
       exposure according to lighting conditions to keep the
       signal output at the best possible level.                   Slow shutter results in
                                                                     long exposure time
© AVer Information Inc.
Rolling Shutter
       Rolling shutter is a method of image               rolling shutter exposure control
       acquisition in which each frame is recorded
                                                           reset
       by scanning across the frame either
       vertically or horizontally and not all parts of
       the image are recorded at exactly the same
       time, even though the whole frame is
       displayed at the same time during playback.
                                                         readout                      Inte-
                                                                                      gration
       Pros: It allows the image to have a more                                       time
                                                           reset
       organic (filmic) effect look.

       Cons: This produces predictable distortions
       of fast-moving objects or when the sensor         readout                      Inte-
       captures rapid flashes of light.                                               gration
                                                           reset                      time
       Source: Wiki & Aptina
© AVer Information Inc.
Global Shutter
       Global shutters is an alternative method           global shutter exposure control
       of image acquisition where pixels in the
       imaging array are exposed all at once.            reset all
                                                           pixels
       Pros: The image is not likely to appear
       distorted.

       Cons: The use of global shutter pixel
                                                           all pixels
       requires the addition of a pixel-level            integrating
       memory.


                                                   all pixels stop
                                                 integration and
                                                      commence
                                                          readout
       Source: Aptina
© AVer Information Inc.
Global vs. Rolling Shutter




       Source: Aptina




                                click to watch the video at
                                http://www.youtube.com/watch?v
                                =R-h46Zz9YZQ

© AVer Information Inc.
Auto Iris vs. AES

                                         Auto Iris                         AES

                  technology              optical                      electronic

                                    controls the amount          controls the duration
                      function
                                 of light exposed to sensor    sensor is exposed to light

                reaction to
                                          slower                         quicker
           lighting change

                                 eliminate smearing effect
                   advantage                                  faster to adjust exposure level
                                           (拉光)

                          cost             high                        moderate


© AVer Information Inc.
Illumination (lux)
       Illumination (measures in lux) is the intensity of light hitting
       a surface as seen by a human eye (i.e. the brightness of a place)
                     1 lumen (light emission unit)
         1 lux =
                          1 m2 (surface unit)


        Recording Conditions                         Illumination Level
        sunset                                       500 lux
        twilight                                     1 lux
        night w/ full moon                           0.1 lux
        night w/ quarter of the lunar disk           0.01 lux
        night w/ a clear starry sky                  0.001 lux


© AVer Information Inc.
Lighting vs. Image Quality

           Denoise



© AVer Information Inc.
Noise Reduction
       3D & 2D noise reduction (denoise)
       Technology to provide clearer video with less noise under poor lighting
       conditions and dramatically reduces the storage capacity for backend
       encoding through an improved, cleaner signal.

                  Method
                                    3D denoise                         2D denoise
        Difference
                           analyzes successive pictures to
             technology    detect and adjust for noise        analyzes only a single picture
                           over a span of time
                           can dramatically reduce noise     can maintain smooth edges on
                  pros
                           on the image                      moving objects
                           moving objects will show with
                  cons                                       the effect is limited
                           motion blur


© AVer Information Inc.
Dynamic Noise Reduction
       Dynamic 3D / 2D noise reduction (denoise)
       Features advanced automated 3D and 2D denoise adjustment to deliver
       cleaner, sharper images even in low lighting conditions and greater storage
       efficiency

                                                                           3D denoise
                                                                           motion




                                                                           2D vs. 3D
                                                                           denoise


       *3D noise reduction is achieved by
       comparing noise level of continuous frames
© AVer Information Inc.
Lighting vs. Image Quality

           Backlight Compensation
           vs. Wide Dynamic Range


© AVer Information Inc.
Backlight Compensation (BLC)
       When bright lighting that originates behind a subject of interest, it will lead to
       the underexposing (silhouetting) of the main subject. BLC is a mechanism
       designed to adjust the exposure of the entire image to properly expose the
       subject in the foreground.

       Scenario
       inside bank lobby
       Since BLC tries to ignore small areas of high                        BLC on
       illumination to ensure the larger portion of the scene
       remains bright, the area of interest would have the
       same exposure regardless of the background (people
       passing by on the street outside of the bank).

                                                                            BLC off

© AVer Information Inc.
Wide Dynamic Range (WDR)
       WDR is a more effective alternative to BLC because it can
       handle multiple exposure zones to give both the highlight
       and low light areas a proper exposure.

       Digital WDR (D-WDR)                                         short exposure

       It is a software-based technique that optimizes the image        +
       quality by maintaining the original exposure value while
       adjusting the gamma y value to enhance the dark areas.

       True WDR                                                    long exposure
       It is accomplished by using 2 shutters (or more – multi-
       frame imaging) to capture the same image with both short
       and long exposures may cut the frames by half.



© AVer Information Inc.                                                result
WDR Applications




     an indoor premise where light              having the IP camera pointing
     enters from various angles (intense        towards a window or an entrance
     sunlight or artificial light), such as a   door and the background is washed
     multi-window room, e.g. airport,           out during daytime, e.g. restaurant,
     train station, shopping mall, et al.       stores with big glass windows, et al.
© AVer Information Inc.
BLC vs. WDR
                  technology
                                    True WDR            Digital WDR               BLC
    item

    shutter needed                  2 or more                1                     1

                               combine frames of    adjust the gamma y   adjust the exposure
    technology                 long and short       value to enhance     of the entire image
                               exposures            the dark area
                               good image quality   comparatively good   object of interest is
    pros                                            image quality and    clear
                                                    lower in cost
                               may have minor       minor image washed overexposure in
                               color restoration    out problem        brightly lighted
    cons                       problem or color                        areas, resulting in
                               dispersion                              the loss of pertinent
                                                                       information


© AVer Information Inc.
Lighting vs. Image Quality

           Other factors affecting
           image quality


© AVer Information Inc.
Color Temperature
       Color temperature




                                    intensity
                                     relative
       describes the spectrum
       of light which is radiated
       from a "blackbody“ – an
                                            400    450       500       550        600       650   700
       object that absorbs all                                     wavelength
       incident light.
                                      color temperature                      light source
                                           (Kelvin)
       The color temperature of
                                          1000~2000K         candlelight
       a light source refers to           2500~3500K         tungsten bulb (household variety)
       the relative warmth or             3000~4000K         sunrise/sunset (clear sky)
       coolness of the white              4000~5000K         fluorescent lamps
       light.                             5000~5500K         electronic flash
                                          5000~6500K         daylight with clear sky (sun overhead)
                                          6500~8000K         moderately overcast sky
                                         9000~10000K         shade or heavily overcast sky
© AVer Information Inc.              Source: Cambridge in Colour
White Balance
       The white balance function is designed to remove unrealistic color cast from
       the image and compensate for hue shifts by adjusting color balance in relation
       to white color.

       Automatic White Balance (AWB)
       The white balance is adjusted automatically. However, white or bright
       colorless element is needed for proper calibration, otherwise color abundance
       may be mistaken for color cast. This function is best suited for environments
       with no light source changes (e.g. between incandescent and fluorescent
       lights).

       Manual White Balance (MWB)
       The white balance is adjusted manually and can be more precise when
       capturing image rich in colors.

© AVer Information Inc.
Color Rolling (色飄)
       Cause:
       When the frequencies of the camera shutter and light source do not match,
       camera may have problems with adjusting the white balance. As a result,
       consecutive color shifts occur. Typically seen with fluorescent lightings
       (flicker, 50/60Hz).

       Solution:
       It can be solved by matching shutter speed with light source frequency 
       50Hz vs. 1/50s or 60Hz vs. 1/60s




       * Only analog cameras has this problem
© AVer Information Inc.
Blooming (暈光)
       Cause:
       It is when strong light or backlight that causes the sensor to be overcharged
       and some pixels will overflow to pixels nearby, resulting in blurred halos
       surrounding the objects.

       Solution:
       Sometimes it can be solved by adjusting the exposure settings.

       Scenario:
       - when light source is shone directly at the IP cameras
       - car or traffic lights




© AVer Information Inc.
Smear (拉光)
       Cause:
       It is a type of blooming where very strong light source (e.g. sun, car’s
       headlights) causes part of the image to be overexposed and the whole
       column of pixels becomes overloaded to form vertical white lines.

       Solution:
       It can be solved by adjusting exposure settings

       Scenario:
       - when there is glaring sun light




© AVer Information Inc.
Spot Light Effect
       Cause:
       When the field of view of the IR LED illuminator is smaller than that of the IP
       camera, areas where not covered by the IR LED illuminator appears to be
       darker.

       Solution:
       Use an IR LED illuminator with a wider field of view. However, with a wider
       field of view, the IR distance may decrease; or zoom in on the object but the
       viewable area becomes smaller.




© AVer Information Inc.
Q&A



© AVer Information Inc.

More Related Content

What's hot

Diffie-Hellman Key Exchange
Diffie-Hellman Key ExchangeDiffie-Hellman Key Exchange
Diffie-Hellman Key ExchangeGürkan YILDIRIM
 
CCNP Switching Chapter 5
CCNP Switching Chapter 5CCNP Switching Chapter 5
CCNP Switching Chapter 5Chaing Ravuth
 
Email security
Email securityEmail security
Email securitySultanErbo
 
MIPI DevCon 2016: Testing of MIPI High Speed PHY Standard Implementations
MIPI DevCon 2016: Testing of MIPI High Speed PHY Standard ImplementationsMIPI DevCon 2016: Testing of MIPI High Speed PHY Standard Implementations
MIPI DevCon 2016: Testing of MIPI High Speed PHY Standard ImplementationsMIPI Alliance
 
Benefits of vlan
Benefits of vlanBenefits of vlan
Benefits of vlanLogitrain
 
10 Reasons for Choosing OpenSplice DDS
10 Reasons for Choosing OpenSplice DDS10 Reasons for Choosing OpenSplice DDS
10 Reasons for Choosing OpenSplice DDSAngelo Corsaro
 
FEX -PPT By NETWORKERS HOME
FEX -PPT By NETWORKERS HOMEFEX -PPT By NETWORKERS HOME
FEX -PPT By NETWORKERS HOMEnetworkershome
 
CCNAv5 - S2: Chapter2 Basic Switching Concepts and Configuration
CCNAv5 - S2: Chapter2 Basic Switching Concepts and ConfigurationCCNAv5 - S2: Chapter2 Basic Switching Concepts and Configuration
CCNAv5 - S2: Chapter2 Basic Switching Concepts and ConfigurationVuz Dở Hơi
 
Cisco Study: State of Web Security
Cisco Study: State of Web Security Cisco Study: State of Web Security
Cisco Study: State of Web Security Cisco Canada
 
Security problems in TCP/IP
Security problems in TCP/IPSecurity problems in TCP/IP
Security problems in TCP/IPSukh Sandhu
 
Session Border Controllers - Top 10 FAQ
Session Border Controllers - Top 10 FAQSession Border Controllers - Top 10 FAQ
Session Border Controllers - Top 10 FAQAlan Percy
 

What's hot (20)

Introduction to PROFINET - Derek Lane
Introduction to PROFINET - Derek LaneIntroduction to PROFINET - Derek Lane
Introduction to PROFINET - Derek Lane
 
Diffie-Hellman Key Exchange
Diffie-Hellman Key ExchangeDiffie-Hellman Key Exchange
Diffie-Hellman Key Exchange
 
Telecom Security
Telecom SecurityTelecom Security
Telecom Security
 
CCNP Switching Chapter 5
CCNP Switching Chapter 5CCNP Switching Chapter 5
CCNP Switching Chapter 5
 
Email security
Email securityEmail security
Email security
 
MIPI DevCon 2016: Testing of MIPI High Speed PHY Standard Implementations
MIPI DevCon 2016: Testing of MIPI High Speed PHY Standard ImplementationsMIPI DevCon 2016: Testing of MIPI High Speed PHY Standard Implementations
MIPI DevCon 2016: Testing of MIPI High Speed PHY Standard Implementations
 
Benefits of vlan
Benefits of vlanBenefits of vlan
Benefits of vlan
 
MPLS-TE
MPLS-TEMPLS-TE
MPLS-TE
 
10 Reasons for Choosing OpenSplice DDS
10 Reasons for Choosing OpenSplice DDS10 Reasons for Choosing OpenSplice DDS
10 Reasons for Choosing OpenSplice DDS
 
FEX -PPT By NETWORKERS HOME
FEX -PPT By NETWORKERS HOMEFEX -PPT By NETWORKERS HOME
FEX -PPT By NETWORKERS HOME
 
Storm-Control
Storm-ControlStorm-Control
Storm-Control
 
Multiplexage spatial
Multiplexage spatialMultiplexage spatial
Multiplexage spatial
 
CCNAv5 - S2: Chapter2 Basic Switching Concepts and Configuration
CCNAv5 - S2: Chapter2 Basic Switching Concepts and ConfigurationCCNAv5 - S2: Chapter2 Basic Switching Concepts and Configuration
CCNAv5 - S2: Chapter2 Basic Switching Concepts and Configuration
 
Cisco Study: State of Web Security
Cisco Study: State of Web Security Cisco Study: State of Web Security
Cisco Study: State of Web Security
 
Security problems in TCP/IP
Security problems in TCP/IPSecurity problems in TCP/IP
Security problems in TCP/IP
 
Multicast for ipv6
Multicast for ipv6Multicast for ipv6
Multicast for ipv6
 
Trame mic
Trame micTrame mic
Trame mic
 
Réseau lora
Réseau loraRéseau lora
Réseau lora
 
Implementing Network Redundancy
Implementing Network RedundancyImplementing Network Redundancy
Implementing Network Redundancy
 
Session Border Controllers - Top 10 FAQ
Session Border Controllers - Top 10 FAQSession Border Controllers - Top 10 FAQ
Session Border Controllers - Top 10 FAQ
 

Similar to 01 lens & sensor technology 20130123

Imaging & Lenses
Imaging & LensesImaging & Lenses
Imaging & LensesD-Link USA
 
Introduction of Cameras for the surveillance.ppt
Introduction of Cameras for the surveillance.pptIntroduction of Cameras for the surveillance.ppt
Introduction of Cameras for the surveillance.pptsudhakarbhatele1
 
Introduction of cameras for the better understanding of functionality of cameras
Introduction of cameras for the better understanding of functionality of camerasIntroduction of cameras for the better understanding of functionality of cameras
Introduction of cameras for the better understanding of functionality of camerassudhakarbhatele1
 
Cctv presentation by MNJ Consultants.
Cctv presentation by MNJ Consultants.Cctv presentation by MNJ Consultants.
Cctv presentation by MNJ Consultants.MNJ Consultants
 
Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...
Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...
Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...Keith Harris
 
CCTV System - Close circuit television System - UCJ
CCTV System - Close circuit television System - UCJCCTV System - Close circuit television System - UCJ
CCTV System - Close circuit television System - UCJPaheerathan Sabaratnam
 
Digital Camera by Abhinav Kumar
Digital Camera by Abhinav KumarDigital Camera by Abhinav Kumar
Digital Camera by Abhinav KumarAbhinav Kumar
 
02 cctv camera specification
02 cctv camera specification02 cctv camera specification
02 cctv camera specificationNader Elmansi
 
Advanced Photojournalism BMT III Sem.pptx
Advanced Photojournalism BMT III Sem.pptxAdvanced Photojournalism BMT III Sem.pptx
Advanced Photojournalism BMT III Sem.pptxBajracharyaSunilC
 
“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...
“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...
“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...Edge AI and Vision Alliance
 

Similar to 01 lens & sensor technology 20130123 (20)

Imaging & Lenses
Imaging & LensesImaging & Lenses
Imaging & Lenses
 
3.2 IP CCTV lenses
3.2 IP CCTV lenses3.2 IP CCTV lenses
3.2 IP CCTV lenses
 
SECURICO CCTV BOOK
SECURICO CCTV BOOK SECURICO CCTV BOOK
SECURICO CCTV BOOK
 
P-iris
P-irisP-iris
P-iris
 
Photography 101
Photography 101 Photography 101
Photography 101
 
Introduction of Cameras for the surveillance.ppt
Introduction of Cameras for the surveillance.pptIntroduction of Cameras for the surveillance.ppt
Introduction of Cameras for the surveillance.ppt
 
Introduction of cameras for the better understanding of functionality of cameras
Introduction of cameras for the better understanding of functionality of camerasIntroduction of cameras for the better understanding of functionality of cameras
Introduction of cameras for the better understanding of functionality of cameras
 
Cctv presentation by MNJ Consultants.
Cctv presentation by MNJ Consultants.Cctv presentation by MNJ Consultants.
Cctv presentation by MNJ Consultants.
 
Cctv presentation
Cctv presentationCctv presentation
Cctv presentation
 
Cctv presentation
Cctv presentationCctv presentation
Cctv presentation
 
Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...
Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...
Step Into Security Webinar - IP Security Camera Techniques for Video Surveill...
 
CCTV System - Close circuit television System - UCJ
CCTV System - Close circuit television System - UCJCCTV System - Close circuit television System - UCJ
CCTV System - Close circuit television System - UCJ
 
Sony DSR-PD175P
Sony DSR-PD175PSony DSR-PD175P
Sony DSR-PD175P
 
Sony DSR-PD175
Sony DSR-PD175Sony DSR-PD175
Sony DSR-PD175
 
CCTV Camera- A Hand Book
CCTV Camera- A Hand BookCCTV Camera- A Hand Book
CCTV Camera- A Hand Book
 
Digital Camera by Abhinav Kumar
Digital Camera by Abhinav KumarDigital Camera by Abhinav Kumar
Digital Camera by Abhinav Kumar
 
02 cctv camera specification
02 cctv camera specification02 cctv camera specification
02 cctv camera specification
 
DSLR Cameras
DSLR Cameras DSLR Cameras
DSLR Cameras
 
Advanced Photojournalism BMT III Sem.pptx
Advanced Photojournalism BMT III Sem.pptxAdvanced Photojournalism BMT III Sem.pptx
Advanced Photojournalism BMT III Sem.pptx
 
“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...
“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...
“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a...
 

Recently uploaded

Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 

Recently uploaded (20)

Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 

01 lens & sensor technology 20130123

  • 1. Lens and Image Sensor Technology Release department: ICB MKT | AVer Information Inc. | www.aver.com | 2013-01-23 Internal Only (including branch offices)
  • 2. Agenda • Lens Technology – Lens & Mounting – Lens Types – Focal Length, Aperture, Depth of Field & View Angle – Lens vs. IR Light • Sensor Technology – CMOS vs. CCD – Interlaced vs. Progressive • Lighting vs. Image Quality – Shutter vs. Gain Control – Denoise – Backlight Compensation vs. Wide Dynamic Range – Other factors affecting image quality © AVer Information Inc.
  • 3. Lens Technology © AVer Information Inc.
  • 4. Image Processing SoC CPU DSP for WLAN or Image (video/audio Lens Image Ethernet/ LAN/ Sensor compression) processing PoE Internet Flash DRAM 128MB 128/256MB Capturing Encoding Streaming Light (optical image) The processed video is Images are transmitted passes through the compressed by a Digital Signal in a single or multiple lens and falls on the Processing (DSP) to achieve a streams in pre-set sensor that converts smaller data size for optimal resolution, frame rate it into electrical transmission. Signals can be and image quality via signals (where compressed and encoded into an Ethernet cable to cropping of ePTZ H.264 / MJPEG / MPEG-4 the remote site via images take place; or formats. LAN or Internet. some in SoC) © AVer Information Inc.
  • 5. Camera Lens Camera Lens is the fundamental component that determines image quality • Factors affecting image quality • light source of the environment • Lens • Sensor • compression engine • bandwidth • Most Box type IP cameras are designed to adapt interchangeable external lenses to allow system installers to select and purchase lens that best fits their specific needs © AVer Information Inc.
  • 6. Lens Technology Lens & Mounting © AVer Information Inc.
  • 7. Lens Mount Type Some lens mounts enables the interchange of external lens • Board-mount – lens is not interchangeable and is mounted directly on the circuit board. They are less versatile and can be very small (M12, M14 or M19). For example, bullet, dome and fisheye cameras. • C-mount – 17.526mm FFD (more expensive) • CS-mount – 12.5mm FFD; mostly ≥ 2M (cheaper) *FFD stands for flange focal distance (i.e. distance between lens mount and sensor) *Speed domes use zoom lens modules Board-mount lens C-mount lens CS-mount lens © AVer Information Inc.
  • 8. C-mount vs. CS-mount Lenses Box type cameras can support both C-mount and CS-mount lenses with the use of C-ring (5mm spacer ring) Lens Type C-mount CS-mount Camera Type FFD 17.526mm FFD 12.5mm C-mount yes no Camera C/CS-mount yes yes manufacturer’s CS-mount C-ring yes tuning ring © AVer Information Inc.
  • 9. CS-mount Camera vs. C-mount Lens The use of adapter ring helps to get the image into focus light rays light rays C-mount lens C-mount lens C-ring 17.526mm 17.526mm Image out of focus sensor sensor CS-mount camera CS-mount camera © AVer Information Inc.
  • 10. C/CS-mount Camera vs. C-mount Lens Sometimes with the use of the adapter ring, because of the difference in the distance between the lens and the sensor, the image quality may be affected. C/CS-mount cameras come with built-in flange-back adjustment ring that can adjust the distance between the lens and the sensor with a switch. C-mount lens Flange-back sensor adjustment sensor ring Adjustable C/CS-mount camera *Some advanced IP cameras can remotely adjust the back focus. © AVer Information Inc.
  • 11. Lens Form Factor vs. Sensor sensor size 1/4” 1/3” 1/2.5” 1/2“ diagonal 4mm 6mm 7.18mm 8mm width 3.2mm 4.8mm 5.76mm 6.4mm height 2.4mm 3.6mm 4.29mm 4.8mm Sensor sizes are specified by its diagonal length. Sensor size given in inches employs sensor’s outer glass diagonal as a base, not a real diagonal. 1/4” lens & 1/3” sensor 1/3” lens & 1/3” sensor 1/2” lens & 1/3” sensor The field of view (FOV) Lens size matches with The angle of view of the is narrower with black the sensor = optimized lens is not fully utilized corners image quality *Example: If an IP camera adapts a 5M sensor with a 3M lens, the image quality may be similar to that of a 2.5M IP camera. © AVer Information Inc.
  • 12. Lens Technology Lens Types © AVer Information Inc.
  • 13. Types of Lens Fixed lens Lens with constant focal length that cannot be adjusted fixed lens adjust tele/wide Vari-focal lens Lens with adjustable focal length and manual focus is vari-focal lens required Zoom lens Subtype of vari-focal lens and some zoom lenses come with the auto focus feature, such as speed domes. zoom lens © AVer Information Inc.
  • 14. Lens with Fixed / Manual Iris Iris is used to control the light level to the image sensor, ensuring the image is sharp, clear and correctly exposed with good contrast and resolution. Fixed iris The size of the iris cannot be adjusted and is a look at the iris suitable for indoor applications where the light level is constant. The camera can compensate for changes in the level of light by adjusting the exposure time or using gain. Source: ACTi Manual iris Fixed iris lenses can be manually adjusted the iris size and is used in stable lighting conditions. (Unlike the auto-iris lenses, its lens does not have a cable.) Manual iris lens © AVer Information Inc.
  • 15. Lens with Auto Iris Auto-iris There are 2 types of auto-iris lenses: DC-drive iris and video-drive iris. Both are motor-driven with auto- adjustable iris openings that responds to changes in light levels. They are recommended for use in inconsistent lighting conditions (e.g. outdoors). However, the control cannot be made available to the camera or user. DC-drive iris lens DC-drive iris The iris opening is controlled via DC current with drive circuit inside the camera Video-drive iris The iris opening is controlled with drive circuit built in the lens (mostly used in analog cameras) Video-drive iris lens © AVer Information Inc.
  • 16. Lens with Auto Iris – P-iris P-iris (Precise Iris) P-iris lens is to be a replacement of DC-drive iris that it uses a motor which allows the position of the iris opening to be precisely controlled. Together with software that is configured to optimize the performance of the lens and image sensor, it automatically provides the best iris position for optimal image quality in all lighting conditions. motor inside It provides improvements in contrast, clarity, resolution and P-iris lens depth of field, and is ideal for the monitoring of long corridor or parking lot. Prevailing scenario: In bright situations, P-Iris limits the closing of the iris to avoid blurring (diffraction) caused when the iris opening becomes too small. This can typically happen in cameras that use DC-iris lenses in combination with megapixel sensors that have small pixels. © AVer Information Inc.
  • 17. Lens Technology Focal Length, Aperture, DOF & View Angle © AVer Information Inc.
  • 18. Focal Length (f) vs. F-number (F/no) camera sensor lens light Focal Length (f) distance between focal point (sensor) and optical center (lens) for example: f=3~9mm optical focal point center focal length F-number (F/no) (a.k.a. F-stop or relative aperture) aperture the amount of light getting through the iris aperture, controlled by the sizing of an iris focal length (f) iris F/no = retina diameter of the aperture (mm) pupil (aperture – (sensor) or iris size opening of the iris) lens © AVer Information Inc.
  • 19. Depth of Field (DOF) DOF is a range of distance in which object is acceptably sharp and can be adjusted by sizing the iris (aperture) Depth of Field = Front Depth of Field + Rear Depth of Field Front DOF is the distance in front the object that is acceptably sharp Rear DOF is the distance behind the object that is acceptably sharp front depth of field rear depth of field focal depth Depth of Field Focal depth is the distance over which the sensor can be displaced while the object stays acceptably sharp. © AVer Information Inc.
  • 20. Depth of Field – Applications Depth of Field F/no Iris Size focal length (f) short Small (F1.2) large F/no = diameter of the aperture (mm) long Large (F22) small or iris size smaller F/no bigger F/no Applications: Applications: • Tollgate (license plate) • office space / passageways • front door / courtyard (where the • outdoor parking lot record of passersby is not allowed) • 24hrs outdoor surveillance © AVer Information Inc.
  • 21. Depth of Field – Adjusting Focus When a camera is installed at day time, the iris size is usually set to small (longer DOF). A camera with auto iris will auto adjust at night to allow more light to come through, thus decreasing the DOF. If the focus was not adjusted to its best position, the blurring effect will be even more obvious at night time. depth of field depth of field DAY NIGHT ideal focus position ideal focus position adjusted focus position adjusted focus position © AVer Information Inc.
  • 22. Angle of View The shorter the focal length or the larger the sensor, the bigger FOV the angle of view. • It can be measured horizontally (image shorter focal length width) and vertically (image height) or diagonally (a.k.a. Field of View, FOV) Tele vs. Wide angle of view lens sensor 97.9°(W)~23.6°(T) (vertical) Tele (T) – minimum angle of view Wide (W) – maximum angle of view longer focal length © AVer Information Inc.
  • 23. Lens Technology Lens vs. IR Light © AVer Information Inc.
  • 24. IR-Cut Filter Removable (ICR) Infrared (IR) Light Though it is not visible to the human eye, may downgrade image quality during day-time by distorting colors; however, it can be used to improve visibility under low lightening conditions. ICR adjusts infrared light access to the camera • Digital ICR a digital filter and the performance is not very impressive • Mechanical ICR a mechanical shutter placed between the camera sensor and the lens, that is controlled by a motor or an electromagnet © AVer Information Inc.
  • 25. ICR (Day / Night) Day-time ICR removed ICR on It blocks infrared light and allows only visible light to pass through Night-time or low lighting ICR on ICR removed ICR is disabled/removed and the live the image will become black & white, which is more sensitive to infrared light * However, the image may be blurred and can be adjusted with an IR corrected lens. © AVer Information Inc.
  • 26. IR Corrected Lens Since visible light is composed of lights of various wavelengths, with a single lens, light is bent in the same way as with a prism and the focal lengths of lights with different wavelengths vary. As a result, not all light rays reach the same point (focal point), which causes chromatic aberration. IR Corrected Lens (type of Chromatic Lens) The purpose is to compensate for the focus shift by matching the focal lengths of two different wavelengths (e.g. visible & IR lights) to reduce the chromatic aberration to a certain extent. However, lights of other wavelengths have different focal lengths and result in residual chromatic aberration, which is known as the secondary spectrum. image source: Microscopy Resource Center
  • 27. Extra-low Dispersion (ED) Lens (色散) Extra-low Dispersion Glass (ED Lens) It a more a expensive and higher-quality glass that reduces chromatic aberrations, or optical color defects (fringing) to a remarkable degree thus helps the lens to always stay in focus. It is most suitable for day & night and those with telephoto lens IP cameras. image source: Nikon
  • 28. Sensor Technology © AVer Information Inc.
  • 29. What is a Sensor? Sensor is a camera component converting optical image into electrical signal. It is made up of many photo-sites and each photo-site corresponds to a picture element (pixel). Each pixel registers the amount of light it is exposed to and converts it into a corresponding number of electrons. The brighter the light, the more electrons are generated. Sensor Type CCD CMOS – higher power consumption + low power consumption – more expensive (Japanese + cheaper patents) + more integration possibilities & functions It should be noted that sensor technology is evolving dynamically and the differences between both sensor types are becoming smaller. This is why both types should be considered a potential choice in the future. © AVer Information Inc.
  • 30. Scanning Scanning is a process of building image by camera sensor as well as displaying it by monitors and TVs. Interlaced Scanning + odd lines even lines Progressive scanning © AVer Information Inc.
  • 31. Interlaced Scanning Interlaced scanning  two fields of lines are been processed at the same time: a field displaying the odd lines, and a second field displaying the even lines  only half the number of lines (alternating between odd and even lines) of an image is sent at a time, which reduces the use of bandwidth by half  may creates artifacts or distortions as a result of ‘missing’ data (though not noticeable on interlace monitors) + = odd lines even lines distorted image or blurred actual image *1080i represents 1080 lines interlaced; 720i does NOT exist. © AVer Information Inc.
  • 32. Progressive Scanning Progressive scanning (*all IP cameras adopt progressive CMOS cameras)  values are obtained for each pixel on the sensor and image data is scanned sequentially line by line, producing a full frame image  entire image frame can be sent over a network but requires higher bandwidth  best for presenting moving objects *720p represents 720 lines progressive; 1080p represents 1080 lines progressive
  • 33. Lighting vs. Image Quality © AVer Information Inc.
  • 34. Lighting vs. Image Quality Shutter vs. Gain Control © AVer Information Inc.
  • 35. Exposure Exposure of an image refers to the amount of light that falls on an image sensor • exposure is dependant upon the shutter speed and aperture • longer exposure time produces better image in low lighting conditions, however it is susceptible to motion blur • shorter exposure time is recommended for capturing fast movement The exposure settings of an IP camera includes • gain control • shutter speed • usually the iris size / aperture is not configurable © AVer Information Inc.
  • 36. Auto Gain Control Gain control is basically a form of amplification where the camera will boost the image received so the object can be seen more clearly and is critical in low lighting conditions Automatic Gain Control (AGC) • auto amplifies video signal when its strength falls below minimal value • as the image gets brighter, more noise is produced • as gain increases, the bandwidth consumption increases, and CBR or VBR with a bandwidth cap can be applied to minimize the negative side effects  video loss or missing pixels Denoise features can help to reduce the noise as well as reduce the bandwidth consumption *a.k.a. ISO value in optical © AVer Information Inc.
  • 37. Auto Electronic Shutter (AES) A camera’s shutter determines when the camera sensor will be open or closed to the incoming light (exposure time) Shutter Speed The duration that light is permitted to enter the camera and is usually described using fractions of seconds (e.g. 1/30s, 1/300s). Quick shutter results in short exposure time Auto Electronic Shutter (AES) It is used in IP cameras where the iris remains fixed, allowing the shutter speed to automatically adjust exposure according to lighting conditions to keep the signal output at the best possible level. Slow shutter results in long exposure time © AVer Information Inc.
  • 38. Rolling Shutter Rolling shutter is a method of image rolling shutter exposure control acquisition in which each frame is recorded reset by scanning across the frame either vertically or horizontally and not all parts of the image are recorded at exactly the same time, even though the whole frame is displayed at the same time during playback. readout Inte- gration Pros: It allows the image to have a more time reset organic (filmic) effect look. Cons: This produces predictable distortions of fast-moving objects or when the sensor readout Inte- captures rapid flashes of light. gration reset time Source: Wiki & Aptina © AVer Information Inc.
  • 39. Global Shutter Global shutters is an alternative method global shutter exposure control of image acquisition where pixels in the imaging array are exposed all at once. reset all pixels Pros: The image is not likely to appear distorted. Cons: The use of global shutter pixel all pixels requires the addition of a pixel-level integrating memory. all pixels stop integration and commence readout Source: Aptina © AVer Information Inc.
  • 40. Global vs. Rolling Shutter Source: Aptina click to watch the video at http://www.youtube.com/watch?v =R-h46Zz9YZQ © AVer Information Inc.
  • 41. Auto Iris vs. AES Auto Iris AES technology optical electronic controls the amount controls the duration function of light exposed to sensor sensor is exposed to light reaction to slower quicker lighting change eliminate smearing effect advantage faster to adjust exposure level (拉光) cost high moderate © AVer Information Inc.
  • 42. Illumination (lux) Illumination (measures in lux) is the intensity of light hitting a surface as seen by a human eye (i.e. the brightness of a place) 1 lumen (light emission unit) 1 lux = 1 m2 (surface unit) Recording Conditions Illumination Level sunset 500 lux twilight 1 lux night w/ full moon 0.1 lux night w/ quarter of the lunar disk 0.01 lux night w/ a clear starry sky 0.001 lux © AVer Information Inc.
  • 43. Lighting vs. Image Quality Denoise © AVer Information Inc.
  • 44. Noise Reduction 3D & 2D noise reduction (denoise) Technology to provide clearer video with less noise under poor lighting conditions and dramatically reduces the storage capacity for backend encoding through an improved, cleaner signal. Method 3D denoise 2D denoise Difference analyzes successive pictures to technology detect and adjust for noise analyzes only a single picture over a span of time can dramatically reduce noise can maintain smooth edges on pros on the image moving objects moving objects will show with cons the effect is limited motion blur © AVer Information Inc.
  • 45. Dynamic Noise Reduction Dynamic 3D / 2D noise reduction (denoise) Features advanced automated 3D and 2D denoise adjustment to deliver cleaner, sharper images even in low lighting conditions and greater storage efficiency 3D denoise motion 2D vs. 3D denoise *3D noise reduction is achieved by comparing noise level of continuous frames © AVer Information Inc.
  • 46. Lighting vs. Image Quality Backlight Compensation vs. Wide Dynamic Range © AVer Information Inc.
  • 47. Backlight Compensation (BLC) When bright lighting that originates behind a subject of interest, it will lead to the underexposing (silhouetting) of the main subject. BLC is a mechanism designed to adjust the exposure of the entire image to properly expose the subject in the foreground. Scenario inside bank lobby Since BLC tries to ignore small areas of high BLC on illumination to ensure the larger portion of the scene remains bright, the area of interest would have the same exposure regardless of the background (people passing by on the street outside of the bank). BLC off © AVer Information Inc.
  • 48. Wide Dynamic Range (WDR) WDR is a more effective alternative to BLC because it can handle multiple exposure zones to give both the highlight and low light areas a proper exposure. Digital WDR (D-WDR) short exposure It is a software-based technique that optimizes the image + quality by maintaining the original exposure value while adjusting the gamma y value to enhance the dark areas. True WDR long exposure It is accomplished by using 2 shutters (or more – multi- frame imaging) to capture the same image with both short and long exposures may cut the frames by half. © AVer Information Inc. result
  • 49. WDR Applications an indoor premise where light having the IP camera pointing enters from various angles (intense towards a window or an entrance sunlight or artificial light), such as a door and the background is washed multi-window room, e.g. airport, out during daytime, e.g. restaurant, train station, shopping mall, et al. stores with big glass windows, et al. © AVer Information Inc.
  • 50. BLC vs. WDR technology True WDR Digital WDR BLC item shutter needed 2 or more 1 1 combine frames of adjust the gamma y adjust the exposure technology long and short value to enhance of the entire image exposures the dark area good image quality comparatively good object of interest is pros image quality and clear lower in cost may have minor minor image washed overexposure in color restoration out problem brightly lighted cons problem or color areas, resulting in dispersion the loss of pertinent information © AVer Information Inc.
  • 51. Lighting vs. Image Quality Other factors affecting image quality © AVer Information Inc.
  • 52. Color Temperature Color temperature intensity relative describes the spectrum of light which is radiated from a "blackbody“ – an 400 450 500 550 600 650 700 object that absorbs all wavelength incident light. color temperature light source (Kelvin) The color temperature of 1000~2000K candlelight a light source refers to 2500~3500K tungsten bulb (household variety) the relative warmth or 3000~4000K sunrise/sunset (clear sky) coolness of the white 4000~5000K fluorescent lamps light. 5000~5500K electronic flash 5000~6500K daylight with clear sky (sun overhead) 6500~8000K moderately overcast sky 9000~10000K shade or heavily overcast sky © AVer Information Inc. Source: Cambridge in Colour
  • 53. White Balance The white balance function is designed to remove unrealistic color cast from the image and compensate for hue shifts by adjusting color balance in relation to white color. Automatic White Balance (AWB) The white balance is adjusted automatically. However, white or bright colorless element is needed for proper calibration, otherwise color abundance may be mistaken for color cast. This function is best suited for environments with no light source changes (e.g. between incandescent and fluorescent lights). Manual White Balance (MWB) The white balance is adjusted manually and can be more precise when capturing image rich in colors. © AVer Information Inc.
  • 54. Color Rolling (色飄) Cause: When the frequencies of the camera shutter and light source do not match, camera may have problems with adjusting the white balance. As a result, consecutive color shifts occur. Typically seen with fluorescent lightings (flicker, 50/60Hz). Solution: It can be solved by matching shutter speed with light source frequency  50Hz vs. 1/50s or 60Hz vs. 1/60s * Only analog cameras has this problem © AVer Information Inc.
  • 55. Blooming (暈光) Cause: It is when strong light or backlight that causes the sensor to be overcharged and some pixels will overflow to pixels nearby, resulting in blurred halos surrounding the objects. Solution: Sometimes it can be solved by adjusting the exposure settings. Scenario: - when light source is shone directly at the IP cameras - car or traffic lights © AVer Information Inc.
  • 56. Smear (拉光) Cause: It is a type of blooming where very strong light source (e.g. sun, car’s headlights) causes part of the image to be overexposed and the whole column of pixels becomes overloaded to form vertical white lines. Solution: It can be solved by adjusting exposure settings Scenario: - when there is glaring sun light © AVer Information Inc.
  • 57. Spot Light Effect Cause: When the field of view of the IR LED illuminator is smaller than that of the IP camera, areas where not covered by the IR LED illuminator appears to be darker. Solution: Use an IR LED illuminator with a wider field of view. However, with a wider field of view, the IR distance may decrease; or zoom in on the object but the viewable area becomes smaller. © AVer Information Inc.