DS 8388 is a functional photo camera with stylish metallic body.
The camera is equipped with 8 Megapixel sensor, 3x optical and 4x digital zoom for shooting high quality images.
Among preset functions providing easy photo shooting a special attention should be paid to Face detection - an option for focusing on people's faces, Smile detection - a function that detects smiles, AntiShake - a digital stabilization option. Manufacturers equipped camera with PictBridge support for convenient photo printing.
Together with photo shooting the camera is able to record video clips with sound at 30 fps with resolution 640 ? 480 and 320 ? 240 pixels.
DS 8388 has a compartment for SD/SDHC memory cards.
High speed data transfer between camera and PC is reached due to USB 2.0 technology used in ERGO DS 8388.
The camera is powered by Li-ion rechargeable battery. Dimensions of the device are only 92.8 x 57.8 x 18.7 mm.
Multifunctional and stylish designer solution of this new model allows not only to get high quality images but also makes it an irresistible detail highlighting and complementing its user image.
| Sensor: |
1/2.5" CCD-sensor, 8 million pixels |
| File format: |
Still image:
DCF,
JPEG (EXIF 2.2),
DPOF
Video:
Motion JPEG (AVI) |
| Image resolution: |
Still image:
3264 ? 2448,
2816 ? 2112,
2272 ? 1704,
1600 ? 1200,
640 ? 480
Video:
640 ? 480,
320 ? 240 |
| Lens : |
5.7 - 17.1mm (34-102mm, 35mm camera equiv.), f/2.9-5.2 |
| ISO: |
Auto, ISO 64, 100, 200, 400, 800, 1600 |
| Exposure compensation : |
+/- 2EV in 1/3 EV steps (manual mode) |
| White Balance : |
Auto, Preset modes (Daylight, Fluorescent 1, Fluorescent 2, Cloudy), Custom |
| Built-in flash : |
Yes |
| Timer : |
2 or 10 sec, 2+10 sec |
| Storage : |
Built-in memory - 32 MB
Secure Digital/SDHC memory cards |
| LCD monitor : |
3.0" TFT LCD |
| Interface : |
USB/AV out 2-in-1 |
| Power supply : |
Li-Ion rechargeable battery |
| Dimensions : |
92.8 ? 57.8 ? 18.7 mm |
| Weight : |
114 g |
| Additional functions: |
PictBridge
Digital image stabilization
Face detection
Smile detection |
