Raspberry Pi 8MP Auto Focus 75 Degree Sony IMX219 Camera Module
Specificaitons
| Model No. | SF-X219J3507BHA |
| Sensor | Sony IMX219 |
| Pixel | 8MP |
| Pixel Size | 1.12μm×1.12μm |
| Active Pixels | 3280 (H) × 2464 (V) |
| Focusing Range | 2.92mm |
| Fov(D) | 75° |
| TV Distortion | ＜1% |
| Warranty | 10 Years |
| Replacement | 1 Years |
Description
This is an 8MP Raspberry Pi compatible camera based on the Sony
IMX219 image sensor. It's capable of shooting still images at 3280
x 2464 pixels, and also supports 1080p30, 720p60, and 640x480p90
video. It connects to the Pi via a dedicated standard CSi
interface.
The camera can be manually adjusted for focus or autofocus, and it
complements the official Raspberry Pi camera for different lens
mounts, field of view (FOV) and depth of field (DOF), as well as
motorized IR-cut filters for daylight and night vision need.
Features
Sony IMX219 Color CMOS 8-megapixel
3280 x 2464 (active pixels)
Back-illuminated CMOS image sensor Exmor RTM
2-wire serial communication circuit on chip
CSI2 serial data output (selection of 4lane/2lane)
Timing generator, H and V driver circuits on chip
CDS/PGA on chip
10-bit A/D converter on chip
Automatic optical black (OB) clamp circuit on chip
PLL on chip (rectangular wave)
High sensitivity, low dark current, no smear
Excellent anti-blooming characteristics
Variable-speed shutter function (1 H units)
R, G, B primary color pigment mosaic filters on chip
Max. 30 frame/s in all-pixel scan mode
Pixel rate: 280 MHz (All-pixels mode)
720p/120 frame/s, 1080p (crop)/30 frame/s
Data rate: Max. 755 Mbps/lan
Device Structure
CMOS Image Sensor
Image Size: Diagonal 4.60 mm (Type 1/4.0)
Total number of pixels: 3296 (H) × 2512 (V) approx. 8.28 M pixels
Number of effective pixels: 3296 (H) × 2480 (V) approx. 8.17 M
pixels
Number of active pixels: 3280 (H) × 2464 (V) approx. 8.08 M pixels
Chip size: 5.095 mm (H) × 4.930 mm (V) (w/ Scribe
Unit cell size: 1.12 μm (H) × 1.12 μm (V)
Substrate material: Silicon
Applicaitons
Smart Toys
Home Security Supervise
Face Recognition
Embedded Systems
Machine Vision, etc.
