Ricoh Caplio RR10 vs. Ricoh Caplio RR120

Comparison

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Caplio RR10 image
vs
Caplio RR120 image
Ricoh Caplio RR10 Ricoh Caplio RR120
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Megapixels
2.11
2.20
Max. image resolution
1600 x 1200
1792 x 1200

Sensor

Sensor type
CCD
CCD
Sensor size
1/2.7" (~ 5.33 x 4 mm)
1/3.2" (~ 4.5 x 3.37 mm)
Sensor resolution
1676 x 1260
1717 x 1281
Diagonal
6.66 mm
5.62 mm
Sensor size comparison
Sensor size is generally a good indicator of the quality of the camera. Sensors can vary greatly in size. As a general rule, the bigger the sensor, the better the image quality.

Bigger sensors are more effective because they have more surface area to capture light. An important factor when comparing digital cameras is also camera generation. Generally, newer sensors will outperform the older.

Learn more about sensor sizes »

Actual sensor size

Note: Actual size is set to screen → change »
vs
1.41 : 1
(ratio)
Ricoh Caplio RR10 Ricoh Caplio RR120
Surface area:
21.32 mm² vs 15.17 mm²
Difference: 6.15 mm² (41%)
RR10 sensor is approx. 1.41x bigger than RR120 sensor.
Pixel pitch
3.18 µm
2.62 µm
Pixel pitch tells you the distance from the center of one pixel (photosite) to the center of the next. It tells you how close the pixels are to each other.

The bigger the pixel pitch, the further apart they are and the bigger each pixel is. Bigger pixels tend to have better signal to noise ratio and greater dynamic range.
Difference: 0.56 µm (21%)
Pixel pitch of RR10 is approx. 21% higher than pixel pitch of RR120.
Pixel area
10.11 µm²
6.86 µm²
Pixel or photosite area affects how much light per pixel can be gathered. The larger it is the more light can be collected by a single pixel.

Larger pixels have the potential to collect more photons, resulting in greater dynamic range, while smaller pixels provide higher resolutions (more detail) for a given sensor size.
Relative pixel sizes:
vs
Pixel area difference: 3.25 µm² (47%)
A pixel on Ricoh RR10 sensor is approx. 47% bigger than a pixel on Ricoh RR120.
Pixel density
9.89 MP/cm²
14.56 MP/cm²
Pixel density tells you how many million pixels fit or would fit in one square cm of the sensor.

Higher pixel density means smaller pixels and lower pixel density means larger pixels.
Difference: 4.67 µm (47%)
Ricoh RR120 has approx. 47% higher pixel density than Ricoh RR10.
To learn about the accuracy of these numbers, click here.



Specs

Ricoh RR10
Ricoh RR120
Crop factor
6.5
7.7
Total megapixels
Effective megapixels
Optical zoom
Yes
Yes
Digital zoom
Yes
Yes
ISO sensitivity
Auto, 100, 200, 400
Auto, 100, 200, 400
RAW
Manual focus
Normal focus range
14 cm
40 cm
Macro focus range
4 cm
8 cm
Focal length (35mm equiv.)
38 - 76 mm
38 - 114 mm
Aperture priority
Yes
No
Max. aperture
f2.8 - f3.8
f2.9 - f6.9
Max. aperture (35mm equiv.)
f18.2 - f24.7
f22.3 - f53.1
Metering
Centre weighted
Matrix
Exposure compensation
±2 EV (in 1/2 EV steps)
±1.5 EV (in 1/3 EV steps)
Shutter priority
No
No
Min. shutter speed
4 sec
1 sec
Max. shutter speed
1/1000 sec
1/1000 sec
Built-in flash
External flash
Viewfinder
Optical
Optical
White balance presets
7
4
Screen size
1.5"
1.5"
Screen resolution
110,000 dots
61,600 dots
Video capture
Max. video resolution
Storage types
MultiMedia, Secure Digital
SmartMedia
USB
USB 1.1
USB 1.1
HDMI
Wireless
GPS
Battery
Li-Ion
4x AA
Weight
172 g
230 g
Dimensions
117 x 30 x 54 mm
105 x 67 x 55 mm
Year
2001
2002




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Diagonal

Diagonal is calculated by the use of Pythagorean theorem:
Diagonal =  w² + h²
where w = sensor width and h = sensor height

Ricoh RR10 diagonal

The diagonal of RR10 sensor is not 1/2.7 or 0.37" (9.4 mm) as you might expect, but approximately two thirds of that value - 6.66 mm. If you want to know why, see sensor sizes.

w = 5.33 mm
h = 4.00 mm
Diagonal =  5.33² + 4.00²   = 6.66 mm

Ricoh RR120 diagonal

The diagonal of RR120 sensor is not 1/3.2 or 0.31" (7.9 mm) as you might expect, but approximately two thirds of that value - 5.62 mm. If you want to know why, see sensor sizes.

w = 4.50 mm
h = 3.37 mm
Diagonal =  4.50² + 3.37²   = 5.62 mm


Surface area

Surface area is calculated by multiplying the width and the height of a sensor.

RR10 sensor area

Width = 5.33 mm
Height = 4.00 mm

Surface area = 5.33 × 4.00 = 21.32 mm²

RR120 sensor area

Width = 4.50 mm
Height = 3.37 mm

Surface area = 4.50 × 3.37 = 15.17 mm²


Pixel pitch

Pixel pitch is the distance from the center of one pixel to the center of the next measured in micrometers (µm). It can be calculated with the following formula:
Pixel pitch =   sensor width in mm  × 1000
sensor resolution width in pixels

RR10 pixel pitch

Sensor width = 5.33 mm
Sensor resolution width = 1676 pixels
Pixel pitch =   5.33  × 1000  = 3.18 µm
1676

RR120 pixel pitch

Sensor width = 4.50 mm
Sensor resolution width = 1717 pixels
Pixel pitch =   4.50  × 1000  = 2.62 µm
1717


Pixel area

The area of one pixel can be calculated by simply squaring the pixel pitch:
Pixel area = pixel pitch²

You could also divide sensor surface area with effective megapixels:
Pixel area =   sensor surface area in mm²
effective megapixels

RR10 pixel area

Pixel pitch = 3.18 µm

Pixel area = 3.18² = 10.11 µm²

RR120 pixel area

Pixel pitch = 2.62 µm

Pixel area = 2.62² = 6.86 µm²


Pixel density

Pixel density can be calculated with the following formula:
Pixel density =  ( sensor resolution width in pixels )² / 1000000
sensor width in cm

One could also use this formula:
Pixel density =   effective megapixels × 1000000  / 10000
sensor surface area in mm²

RR10 pixel density

Sensor resolution width = 1676 pixels
Sensor width = 0.533 cm

Pixel density = (1676 / 0.533)² / 1000000 = 9.89 MP/cm²

RR120 pixel density

Sensor resolution width = 1717 pixels
Sensor width = 0.45 cm

Pixel density = (1717 / 0.45)² / 1000000 = 14.56 MP/cm²


Sensor resolution

Sensor resolution is calculated from sensor size and effective megapixels. It's slightly higher than maximum (not interpolated) image resolution which is usually stated on camera specifications. Sensor resolution is used in pixel pitch, pixel area, and pixel density formula. For sake of simplicity, we're going to calculate it in 3 stages.

1. First we need to find the ratio between horizontal and vertical length by dividing the former with the latter (aspect ratio). It's usually 1.33 (4:3) or 1.5 (3:2), but not always.

2. With the ratio (r) known we can calculate the X from the formula below, where X is a vertical number of pixels:
(X × r) × X = effective megapixels × 1000000    →   
X =  effective megapixels × 1000000
r
3. To get sensor resolution we then multiply X with the corresponding ratio:

Resolution horizontal: X × r
Resolution vertical: X

RR10 sensor resolution

Sensor width = 5.33 mm
Sensor height = 4.00 mm
Effective megapixels = 2.11
r = 5.33/4.00 = 1.33
X =  2.11 × 1000000  = 1260
1.33
Resolution horizontal: X × r = 1260 × 1.33 = 1676
Resolution vertical: X = 1260

Sensor resolution = 1676 x 1260

RR120 sensor resolution

Sensor width = 4.50 mm
Sensor height = 3.37 mm
Effective megapixels = 2.20
r = 4.50/3.37 = 1.34
X =  2.20 × 1000000  = 1281
1.34
Resolution horizontal: X × r = 1281 × 1.34 = 1717
Resolution vertical: X = 1281

Sensor resolution = 1717 x 1281


Crop factor

Crop factor or focal length multiplier is calculated by dividing the diagonal of 35 mm film (43.27 mm) with the diagonal of the sensor.
Crop factor =   43.27 mm
sensor diagonal in mm


RR10 crop factor

Sensor diagonal in mm = 6.66 mm
Crop factor =   43.27  = 6.5
6.66

RR120 crop factor

Sensor diagonal in mm = 5.62 mm
Crop factor =   43.27  = 7.7
5.62

35 mm equivalent aperture

Equivalent aperture (in 135 film terms) is calculated by multiplying lens aperture with crop factor (a.k.a. focal length multiplier).

RR10 equivalent aperture

Crop factor = 6.5
Aperture = f2.8 - f3.8

35-mm equivalent aperture = (f2.8 - f3.8) × 6.5 = f18.2 - f24.7

RR120 equivalent aperture

Crop factor = 7.7
Aperture = f2.9 - f6.9

35-mm equivalent aperture = (f2.9 - f6.9) × 7.7 = f22.3 - f53.1

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