BenQ DC 2410 vs. Sony Cyber-shot DSC-F505v

Comparison

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DC 2410 image
vs
Cyber-shot DSC-F505v image
BenQ DC 2410 Sony Cyber-shot DSC-F505v
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Megapixels
3.14
3.34
Max. image resolution
2272 x 1704
2240 x 1680

Sensor

Sensor type
CCD
CCD
Sensor size
1/2.7" (~ 5.33 x 4 mm)
1/1.8" (~ 7.11 x 5.33 mm)
Sensor resolution
2044 x 1537
2108 x 1585
Diagonal
6.66 mm
8.89 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 : 1.78
(ratio)
BenQ DC 2410 Sony Cyber-shot DSC-F505v
Surface area:
21.32 mm² vs 37.90 mm²
Difference: 16.58 mm² (78%)
F505v sensor is approx. 1.78x bigger than DC 2410 sensor.
Note: You are comparing cameras of different generations. There is a 3 year gap between BenQ DC 2410 (2003) and Sony F505v (2000). All things being equal, newer sensor generations generally outperform the older.
Pixel pitch
2.61 µm
3.37 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: 0.76 µm (29%)
Pixel pitch of F505v is approx. 29% higher than pixel pitch of DC 2410.
Pixel area
6.81 µm²
11.36 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: 4.55 µm² (67%)
A pixel on Sony F505v sensor is approx. 67% bigger than a pixel on BenQ DC 2410.
Pixel density
14.71 MP/cm²
8.79 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: 5.92 µm (67%)
BenQ DC 2410 has approx. 67% higher pixel density than Sony F505v.
To learn about the accuracy of these numbers, click here.



Specs

BenQ DC 2410
Sony F505v
Crop factor
6.5
4.87
Total megapixels
Effective megapixels
Optical zoom
No
5x
Digital zoom
Yes
Yes
ISO sensitivity
Auto, 100, 200
100
RAW
Manual focus
Normal focus range
80 cm
50 cm
Macro focus range
20 cm
2 cm
Focal length (35mm equiv.)
34 mm
38 - 190 mm
Aperture priority
No
Yes
Max. aperture
f2.9
f2.8 - f3.3
Max. aperture (35mm equiv.)
f18.9
f13.6 - f16.1
Metering
Centre weighted, Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
Yes
Min. shutter speed
1/4 sec
8 sec
Max. shutter speed
1/1000 sec
1/1000 sec
Built-in flash
External flash
Viewfinder
Optical
None
White balance presets
6
4
Screen size
1.6"
2"
Screen resolution
80,000 dots
123,000 dots
Video capture
Max. video resolution
Storage types
MultiMedia, Secure Digital
Memory Stick
USB
USB 1.1
USB 1.0
HDMI
Wireless
GPS
Battery
2x AA
InfoLithium (NP-FS11)
Weight
185 g
482 g
Dimensions
94 x 66 x 41 mm
107 x 62 x 136 mm
Year
2003
2000




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vs

Diagonal

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

BenQ DC 2410 diagonal

The diagonal of DC 2410 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

Sony F505v diagonal

The diagonal of F505v sensor is not 1/1.8 or 0.56" (14.1 mm) as you might expect, but approximately two thirds of that value - 8.89 mm. If you want to know why, see sensor sizes.

w = 7.11 mm
h = 5.33 mm
Diagonal =  7.11² + 5.33²   = 8.89 mm


Surface area

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

DC 2410 sensor area

Width = 5.33 mm
Height = 4.00 mm

Surface area = 5.33 × 4.00 = 21.32 mm²

F505v sensor area

Width = 7.11 mm
Height = 5.33 mm

Surface area = 7.11 × 5.33 = 37.90 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 2410 pixel pitch

Sensor width = 5.33 mm
Sensor resolution width = 2044 pixels
Pixel pitch =   5.33  × 1000  = 2.61 µm
2044

F505v pixel pitch

Sensor width = 7.11 mm
Sensor resolution width = 2108 pixels
Pixel pitch =   7.11  × 1000  = 3.37 µm
2108


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 2410 pixel area

Pixel pitch = 2.61 µm

Pixel area = 2.61² = 6.81 µm²

F505v pixel area

Pixel pitch = 3.37 µm

Pixel area = 3.37² = 11.36 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 2410 pixel density

Sensor resolution width = 2044 pixels
Sensor width = 0.533 cm

Pixel density = (2044 / 0.533)² / 1000000 = 14.71 MP/cm²

F505v pixel density

Sensor resolution width = 2108 pixels
Sensor width = 0.711 cm

Pixel density = (2108 / 0.711)² / 1000000 = 8.79 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 2410 sensor resolution

Sensor width = 5.33 mm
Sensor height = 4.00 mm
Effective megapixels = 3.14
r = 5.33/4.00 = 1.33
X =  3.14 × 1000000  = 1537
1.33
Resolution horizontal: X × r = 1537 × 1.33 = 2044
Resolution vertical: X = 1537

Sensor resolution = 2044 x 1537

F505v sensor resolution

Sensor width = 7.11 mm
Sensor height = 5.33 mm
Effective megapixels = 3.34
r = 7.11/5.33 = 1.33
X =  3.34 × 1000000  = 1585
1.33
Resolution horizontal: X × r = 1585 × 1.33 = 2108
Resolution vertical: X = 1585

Sensor resolution = 2108 x 1585


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 2410 crop factor

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

F505v crop factor

Sensor diagonal in mm = 8.89 mm
Crop factor =   43.27  = 4.87
8.89

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 2410 equivalent aperture

Crop factor = 6.5
Aperture = f2.9

35-mm equivalent aperture = (f2.9) × 6.5 = f18.9

F505v equivalent aperture

Crop factor = 4.87
Aperture = f2.8 - f3.3

35-mm equivalent aperture = (f2.8 - f3.3) × 4.87 = f13.6 - f16.1

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