Raspberry Pi NoIR Camera Module V2.1 8MP
Product Overview
Capture high-quality images and videos in both visible and infrared light with the Raspberry Pi NoIR Camera Module V2.1. Featuring the Sony IMX219 8MP sensor, this camera is ideal for night vision projects, wildlife monitoring, robotics, and Raspberry Pi-based surveillance systems.
Description
The Raspberry Pi NoIR Camera Module V2.1 is an official 8-megapixel camera board designed specifically for Raspberry Pi systems. Equipped with the highly capable Sony IMX219 image sensor, this camera delivers excellent image quality while providing unique infrared imaging capabilities thanks to its NoIR (No Infrared Filter) design.
Unlike standard camera modules, the NoIR version does not contain an infrared blocking filter, allowing it to capture both visible and near-infrared light. When combined with an external IR illuminator, the camera can operate effectively in complete darkness, making it ideal for night vision applications.
This camera connects directly to the Raspberry Pi through the dedicated CSI camera interface, enabling fast image transfer and efficient performance for real-time image processing projects.
Whether you're building a smart surveillance system, wildlife observation camera, autonomous robot, AI vision project, STEM education platform, or industrial monitoring system, the Raspberry Pi NoIR Camera Module provides reliable and professional imaging performance.
Benefits
- Enables infrared and low-light imaging
- Official Raspberry Pi camera compatibility
- High-resolution 8MP image capture
- Supports HD video recording
- Compact and lightweight design
- Ideal for AI vision and machine learning projects
- Perfect for Raspberry Pi robotics and automation systems
Applications:
- Raspberry Pi projects
- Night vision camera systems
- Wildlife monitoring
- Security and surveillance systems
- Smart home automation
- AI vision applications
- Image recognition projects
- Robotics development
- STEM education
- Infrared photography
- Agricultural monitoring
- Industrial inspection systems
6. Key Features
- Official Raspberry Pi camera module design
- Sony IMX219 8MP image sensor
- Infrared-sensitive NoIR technology
- Supports high-resolution still photography
- Full HD video recording support
- Direct CSI interface connection
- Compact and lightweight construction
- Suitable for low-light environments
- Compatible with Raspberry Pi camera software ecosystem
- Ideal for DIY electronics and embedded vision projects
7. Technical Specifications
| Specification | Details |
|---|---|
| Product Name | Raspberry Pi NoIR Camera Module V2.1 |
| Sensor | Sony IMX219 |
| Resolution | 8 Megapixels |
| Still Image Resolution | 3280 × 2464 |
| Video Resolution | 1080p30 |
| Video Resolution | 720p60 |
| Video Resolution | 640 × 480p90 |
| Filter Type | NoIR (No Infrared Filter) |
| Interface | CSI Camera Interface |
| Ribbon Cable Length | 15 cm |
| Dimensions | 25mm × 23mm × 9mm |
| Weight | Slightly over 3g |
Package Includes:
- 1 × Raspberry Pi NoIR Camera Module V2.1
- 1 × 15cm CSI Ribbon Cable
Datasheet Summary
| Parameter | Details |
|---|---|
| Sensor | Sony IMX219 |
| Native Resolution | 8MP |
| Maximum Image Resolution | 3280 × 2464 |
| Video Modes | 1080p30, 720p60, 640×480p90 |
| Interface Type | CSI Camera Interface |
| Supported Platforms | Raspberry Pi Series |
| Infrared Capability | Yes (NoIR Design) |
| Filter | No Infrared Filter |
Pin Configuration Summary
Uses Raspberry Pi CSI camera connector through supplied ribbon cable.
10. How It Works
The Raspberry Pi NoIR Camera Module captures light using its Sony IMX219 image sensor. Unlike standard camera modules, it does not contain an infrared-blocking filter, allowing the sensor to detect both visible and near-infrared light.
The camera connects directly to the Raspberry Pi through the CSI interface. Images and video can be captured using Raspberry Pi camera software, Python libraries, OpenCV, or AI vision frameworks.
When paired with an infrared LED illuminator, the camera can capture clear images even in complete darkness, making it ideal for night vision and monitoring applications.