DORHEA 5PCS Raspberry Pi 4 Camera Video Module 5 Megapixels 1080p Sensor OV5647 Mini Webcam with 15 Pin Ribbon Cable for Raspberry Pi Model A/B/B+, Pi 2B and Raspberry Pi 3B, Pi 3 B+, Raspberry Pi 4 5PACK
DORHEA 5PCS Raspberry Pi 4 Camera Video Module 5 Megapixels 1080p Sensor OV5647 Mini Webcam with 15 Pin Ribbon Cable for Raspberry Pi Model A/B/B+, Pi 2B and Raspberry Pi 3B, Pi 3 B+, Raspberry Pi 4
Description
Specifications: Max frame rate: 30fpsFocus Mode: fixed- focusAngle of View: 54 x 41 degreesWorking voltage: 1.7V~3.0VFull-frame SLR lens equivalent: 35 mmFixed Focus: 1 m to infinityField of View: 2.0 x 1.33m at 2 m Working temperature: -20 °C ~ 70 °CSensor type: OmniVision OV5647 5MPMaximum Photo Resolution: 2592 x 1944 pixelSupported Video Resolution: 1080p@30fps, 720p@60fps, 480p@90fps Interface: 15-pin MIPI camera serial interface - plugs directly into the Raspberry Pi board You can find more detailed instructions for the Raspberry Pi camera: raspberrypi.org/camera raspberrypi.org/downloads raspberrypi.org/documentation/usage/camera Read more Package include: 5 X Raspberry Pi 5 Megapixels camera module 5 X 15cm white ribbon flex cable Read more
Features:
- Camera Specifications -- The high-definition video camera is capable of 2592 x 1944 pixel static images,and also supports 1080 p @ 30 fps, 720 p @ 60 fps and 640 x480 p 60/90 video recording, with 5MP OV5647 1080p webcam sensor.
- Fixed Focus -- The sensor has a native resolution of 5 megapixel with OV5647 sensor in a fixed-focus lens.
- Compatible With -- High-Definition video camera for Raspberry Pi Model A, B, B+, Raspberry Pi 2 B, Raspberry Pi 3,3 B+ ,Pi 4.
- CSI Interface -- This interface uses the dedicated CSI interface, via the CSI bus, a higher bandwidth link which carries pixel data from the camera back to the processor, high data rates, and it exclusively carries pixel data.
- 15 Pin Ribbon Cable -- 15-pin MIPI camera serial interface - plugs directly into the Raspberry Pi board; The camera module size: 25mm24mm9mm, making it perfect for mobile, you can be applied to image recognition and image tracking, etc.