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Seeed IMX219 Camera Module V2

SeeedSeeed IMX219 Camera Module V2

MPN: 114992266
Seeed Technology Co., Ltd
IMX219 Camera Sensor Raspberry Pi Camera Module V2 Platform Evaluation Expansion Board
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Overview

This is a Seeed evaluation expansion board that implements the Sony IMX219 image sensor and is designed for the Raspberry Pi Camera Module V2 platform. It provides a ready-made camera sensor board that integrates with Raspberry Pi-compatible camera interfaces for prototyping and evaluation. The board is intended for software and hardware developers building camera and imaging applications on Raspberry Pi systems.

Why Choose This Part

This board uses the widely supported IMX219 sensor and is built for the Raspberry Pi Camera Module V2 platform, so it integrates easily with Raspberry Pi hardware and software ecosystems. It saves time compared with wiring a discrete sensor because drivers and examples exist for Raspberry Pi OS and common vision libraries. The compact form factor and evaluation-board packaging make it convenient for rapid prototyping and bench testing.

Applications

Raspberry Pi prototyping
Quickly add a camera interface to Raspberry Pi projects for proof-of-concept imaging and sensor integration.
Computer vision and edge AI
Capture images or video streams for object detection, classification, and other vision workloads on edge devices.
Robotics and navigation
Provide vision input for SLAM, obstacle detection, or autonomous navigation systems on small robots and drones.
Surveillance and monitoring
Use in time-lapse, security, or environmental monitoring applications that need a compact camera module.
Education and lab evaluation
Teaching, labs, and platform evaluation where students and engineers experiment with camera sensors and image processing.

Key Specifications

Type Sensor
Contents Board(s)
Function Camera
Platform Raspberry Pi Camera Module V2
Utilized IC / Part IMX219

Getting Started

Connect the board to a Raspberry Pi using the CSI ribbon cable and enable the camera interface in Raspberry Pi OS (raspi-config) or use the modern libcamera stack. Use standard tools like libcamera-still, libcamera-vid, or Python bindings (OpenCV, picamera alternatives) to capture images and video. Refer to Seeed and Raspberry Pi documentation for wiring examples, driver support, and example code.

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