BenQ DC 3410 vs. Casio Exilim EX-FS10

Comparison

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DC 3410 image
vs
Exilim EX-FS10 image
BenQ DC 3410 Casio Exilim EX-FS10
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Megapixels
2.10
9.10
Max. image resolution
2048 x 1536
3456 x 2592

Sensor

Sensor type
CMOS
CMOS
Sensor size
1/3.2" (~ 4.5 x 3.37 mm)
1/2.3" (~ 6.16 x 4.62 mm)
Sensor resolution
1678 x 1252
3479 x 2616
Diagonal
5.62 mm
7.70 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 : 1.88
(ratio)
BenQ DC 3410 Casio Exilim EX-FS10
Surface area:
15.17 mm² vs 28.46 mm²
Difference: 13.29 mm² (88%)
FS10 sensor is approx. 1.88x bigger than DC 3410 sensor.
Note: You are comparing sensors of very different generations. There is a gap of 6 years between BenQ DC 3410 (2003) and Casio FS10 (2009). Six years is a lot of time in terms of technology, meaning newer sensors are overall much more efficient than the older ones.
Pixel pitch
2.68 µm
1.77 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: 0.91 µm (51%)
Pixel pitch of DC 3410 is approx. 51% higher than pixel pitch of FS10.
Pixel area
7.18 µm²
3.13 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: 4.05 µm² (129%)
A pixel on BenQ DC 3410 sensor is approx. 129% bigger than a pixel on Casio FS10.
Pixel density
13.9 MP/cm²
31.9 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: 18 µm (129%)
Casio FS10 has approx. 129% higher pixel density than BenQ DC 3410.
To learn about the accuracy of these numbers, click here.



Specs

BenQ DC 3410
Casio FS10
Crop factor
7.7
5.62
Total megapixels
10.30
Effective megapixels
9.10
Optical zoom
No
3x
Digital zoom
Yes
Yes
ISO sensitivity
100
Auto, 100, 200, 400, 800, 1600
RAW
Manual focus
Normal focus range
120 cm
40 cm
Macro focus range
30 cm
10 cm
Focal length (35mm equiv.)
43 mm
38 - 114 mm
Aperture priority
No
No
Max. aperture
f3
f3.9 - f5.4
Max. aperture (35mm equiv.)
f23.1
f21.9 - f30.3
Metering
Centre weighted, Matrix, Spot
Centre weighted, Multi-pattern, Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
No
Min. shutter speed
1/20 sec
1 sec
Max. shutter speed
1/1000 sec
1/40000 sec
Built-in flash
External flash
Viewfinder
Optical
None
White balance presets
5
7
Screen size
1.5"
2.5"
Screen resolution
230,400 dots
Video capture
Max. video resolution
Storage types
MultiMedia, Secure Digital
SDHC, Secure Digital
USB
USB 1.1
USB 2.0 (480 Mbit/sec)
HDMI
Wireless
GPS
Battery
Li-Ion
Rechargeable lithium ion battery (NP-60)
Weight
120 g
121 g
Dimensions
99.9 x 60.8 x 34 mm
96.5 x 81.2 x 16.3 mm
Year
2003
2009




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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

BenQ DC 3410 diagonal

The diagonal of DC 3410 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

Casio FS10 diagonal

The diagonal of FS10 sensor is not 1/2.3 or 0.43" (11 mm) as you might expect, but approximately two thirds of that value - 7.7 mm. If you want to know why, see sensor sizes.

w = 6.16 mm
h = 4.62 mm
Diagonal =  6.16² + 4.62²   = 7.70 mm


Surface area

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

DC 3410 sensor area

Width = 4.50 mm
Height = 3.37 mm

Surface area = 4.50 × 3.37 = 15.17 mm²

FS10 sensor area

Width = 6.16 mm
Height = 4.62 mm

Surface area = 6.16 × 4.62 = 28.46 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

DC 3410 pixel pitch

Sensor width = 4.50 mm
Sensor resolution width = 1678 pixels
Pixel pitch =   4.50  × 1000  = 2.68 µm
1678

FS10 pixel pitch

Sensor width = 6.16 mm
Sensor resolution width = 3479 pixels
Pixel pitch =   6.16  × 1000  = 1.77 µm
3479


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

DC 3410 pixel area

Pixel pitch = 2.68 µm

Pixel area = 2.68² = 7.18 µm²

FS10 pixel area

Pixel pitch = 1.77 µm

Pixel area = 1.77² = 3.13 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

DC 3410 pixel density

Sensor resolution width = 1678 pixels
Sensor width = 0.45 cm

Pixel density = (1678 / 0.45)² / 1000000 = 13.9 MP/cm²

FS10 pixel density

Sensor resolution width = 3479 pixels
Sensor width = 0.616 cm

Pixel density = (3479 / 0.616)² / 1000000 = 31.9 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

DC 3410 sensor resolution

Sensor width = 4.50 mm
Sensor height = 3.37 mm
Effective megapixels = 2.10
r = 4.50/3.37 = 1.34
X =  2.10 × 1000000  = 1252
1.34
Resolution horizontal: X × r = 1252 × 1.34 = 1678
Resolution vertical: X = 1252

Sensor resolution = 1678 x 1252

FS10 sensor resolution

Sensor width = 6.16 mm
Sensor height = 4.62 mm
Effective megapixels = 9.10
r = 6.16/4.62 = 1.33
X =  9.10 × 1000000  = 2616
1.33
Resolution horizontal: X × r = 2616 × 1.33 = 3479
Resolution vertical: X = 2616

Sensor resolution = 3479 x 2616


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


DC 3410 crop factor

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

FS10 crop factor

Sensor diagonal in mm = 7.70 mm
Crop factor =   43.27  = 5.62
7.70

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).

DC 3410 equivalent aperture

Crop factor = 7.7
Aperture = f3

35-mm equivalent aperture = (f3) × 7.7 = f23.1

FS10 equivalent aperture

Crop factor = 5.62
Aperture = f3.9 - f5.4

35-mm equivalent aperture = (f3.9 - f5.4) × 5.62 = f21.9 - f30.3

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