12mp IMX477 Sensor Arducam Raspberry Pi Wide Angle Camera Module

Specificaitons

Description

The IMX477 is a 12.3MP Type 1/2.3” Sony Exmor RS CMOS image sensor, mainly designed for consumer cameras, especially for consumer-use camcorders. It features back-illuminated and stacked CMOS image sensor Digital Overlap High Dynamic Range (DOL-HDR) mode with raw data output. It has a high signal-to-noise ratio (SNR) and supports full resolution @60 frame/s (Normal), 4K2K @60 frame/s (Normal), 1080p @240 frame/s Full resolution @40 frame/s (12 bit Normal), Full resolution @30 frame/s (DOL-HDR, 2 frame).

Features

◆Back-illuminated and stacked CMOS image sensor Exmor RS

◆Digital Overlap High Dynamic Range (DOL-HDR) mode with raw data output.

◆High signal to noise ratio (SNR).

◆Full resolution @60 frame/s (Normal), 4K2K @60 frame/s (Normal), 1080p @240 frame/s Full resolution @40 frame/s (12 bit Normal), Full resolution @30 frame/s (DOL-HDR, 2 frame)

◆Output video format of RAW12/10/8, COMP8.

◆Power Save Mode

◆Pixel binning readout and V sub-sampling function.

◆Independent flipping and mirroring.

◆Input clock frequency 6 to 27 MHz

◆CSI-2 serial data output (MIPI 2lane/4lane, Max. 2.1 Gbps/lane, D-PHY spec. ver. 1.2 compliant)

◆2-wire serial communication.

◆Two PLLs for independent clock generation for pixel control and data output interface.

◆Ambient Light Sensor (ALS)

◆Fast mode transition. (on the fly)

◆Dual sensor synchronization operation (Multi camera compatible)

◆7 K bit of OTP ROM for users.

◆Built-in temperature sensor

◆10-bit/12-bit A/D conversion on chip

◆92-pin high-precision ceramic package

Device Structure

◆CMOS image sensor

◆Image size : Diagonal 7.857 mm (Type 1/2.3)

◆Total number of pixels : 4072 (H) × 3176 (V) approx. 12.93 M pixels

◆Number of effective pixels : 4072 (H) × 3064 (V) approx. 12.47 M pixels

◆Number of active pixels : 4056 (H) × 3040 (V) approx. 12.33 M pixels

◆Chip size : 7.564 mm (H) × 5.476 mm (V)

◆Unit cell size : 1.55 μm (H) × 1.55 μm (V)

◆Substrate material : Silicon

Applicaitons

UAV/Drones/FPV camera
Machine Vision
Robotics
Face Recognition
Defect Detection, etc.