Description
Overview
Stereo vision systems give the robots depth perception skills, which make artificial machines and systems develop an understanding of their environment by estimating the relative distance of objects in their vision from many visual cues. Hence, stereo vision are used in many areas of robotics, such as self-driving cars, drones for rescue missions, robots for remote surgery.
Arducam released this Stereo Camera MIPI Module Series for Raspberry Pi and Jetson Nano/Xavier NX. They directly connect to the MIPI CSI-2 connectors of the motherboards, and run with a V4L2 camera driver on those platforms. They offer better flexibility to be integrated into your own hardware design or run with your own algorithm on embedded systems for applications like depth sensing, 3d mapping, SLAM, etc.
This Arducam 1MP Stereo Camera MIPI Module is a stereo camera module with two synchronized monochrome global shutter OV9281 image sensors (2x1MP). The monochrome sensor’s capable of excellent detail and sensitivity allow it to get higher accuracy and frame rates in extracting depth information.
⚠️ KERNEL CAMERA DRIVER USED
This camera relies on kernel drivers to work – one kernel version, one camera driver. Up or downgrading your OS leads to a kernel bump, and you may need to re-install a matching driver.
Key Specifications
- Sensor: Dual Monochrome global shutter OV9281
- Pixel Size: 3 μm x 3 μm
- Active Array Size: 1280 x 800
- Optical Size: 1/4 inch
- Focus Type: Fixed focus
- Focusing Range: 30mm ~ infinite
- Output Interface: 2-lane MIPI serial output
- Output Formats: 8-bit/10-bit RAW
- Maximum Image Transfer Rate: [email protected] x 800 on Jetson Nano/Xavier NX; [email protected] x 800 on Raspberry Pi
- Lens: Default Wide angle lens (Part Number: M25170H12 )
- EFL: 1.7, F.NO: 2.0, HFOV: 120 Deg.
- IR Sensitivity: Sensitive to IR, No IR filter
- Board Size: 105(L) x 24(W) x 22.5(H) mm
Application
- Depth sensing
- 3d mapping
- SLAM
- 360 camera
- VR / AR application
- ……
Documentation
How to use Arducam stereo camera to perform location with Visual SLAM
1. What is Arducam stereo camera? Stereo vision systems give the robots depth perception skills, which make artificial machines and systems develop an understanding of their environment by estimating the relative distance of objects in Read more…
How to use Arducam stereo camera to estimate depth on ROS with Visual SLAM
2D representation is good enough for most applications. However, there are applications that require information to be provided in three dimensions. An important application is robotics, where information in three dimensions is required to accurately Read more…
Used on Pi:
Camarray – Arducam 1MP*2 Stereo Camera MIPI Module
Introduction This Arducam 1MP*2 Stereo Camera MIPI Module is a stereo camera module with two synchronized monochrome global shutter OV9281 image sensors (2×1MP). It directly connects to the MIPI CSI-2 connectors of Raspberry Pi and Read more…
Used on Jetson Nano:
Camarray – Arducam 1MP*2 Stereo Camera MIPI Module
Introduction This Arducam 1MP*2 Stereo Camera MIPI Module is a stereo camera module with two synchronized monochrome global shutter OV9281 image sensors (2×1MP). It directly connects to the MIPI CSI-2 connectors of Raspberry Pi and Read more…
NOTE
- Raspberry Pi & Jetson Nano/Xavier NX motherboards, acrylic case, and tripod are not included in the package.
- Contact us to get 3D files of this camera module and case.
Package Including
- 1 pcs Arducam 1MP OV9281 stereo MIPI camera module with wide angle M12 Mount Lens
- 1 pcs 150mm 15pin 1.0mm pitch FPC cable
- 1 pcs 150mm 15pin 1.0mm to 22pin 0.5mm pitch FPC cable
Blog
Introducing Camarray: Arducam’s New Solution to Multiple Cameras on Embedded Systems and Edge Devices
Preface As one of the leading companies that pioneers in multiple cameras for popular embedded systems, Arducam now releases the new multi-camera solutions – named Camarray – which allows you to connect and sync up Read more…
Video
Camarray Stereo Camera Tutorial for ROS:
Arducam Camarray Solution Showcase:
How to purchase
You can purchase this item from Arducam distributors
