Home Waveshare IMX415 8MP Camera Module (A) for RPi / Luckfox Series Boards

Waveshare IMX415 8MP Camera Module (A) for RPi / Luckfox Series Boards

SKU: Waveshare-32004
Sale price 24,10 €
incl. VAT
excl. VAT

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Waveshare IMX415 8MP Camera Module (A) for RPi / Luckfox Series Boards

Waveshare IMX415 8MP Camera Module (A) for RPi / Luckfox Series Boards

24,10 €

Description

Waveshare IMX415 8MP Camera Module (A) for RPi / Luckfox Series Boards is a high-resolution color camera module built around the Sony IMX415 image sensor. This IMX415 8MP Camera (A) is designed for Raspberry Pi and Luckfox development platforms, combining 8.29MP resolution, a 95.5° wide-angle lens, and strong low-light image performance for embedded vision and AI camera projects.

Waveshare IMX415 8MP Camera Module A

This camera module is suitable for developers building high-definition vision systems, AI image processing devices, and smart camera applications on Raspberry Pi 5, Raspberry Pi 4B, Zero series, and Luckfox Omni3576 platforms. Its compact layout and wide FOV make it practical for facial recognition, road marking recognition, license plate recognition, and other embedded imaging tasks.

Features

  • Sony IMX415 sensor for high-resolution embedded imaging.
  • Approx. 8.29MP output with 3840 × 2160 recording pixels.
  • 95.5° wide-angle lens for a broader field of view.
  • Low distortion of less than 1%.
  • High SNR and solid low-light performance for better image quality in dim environments.
  • Color camera module with 1/2.8 inch CMOS sensor size.
  • Compact lens design with 2.88mm focal length and F2.4 aperture.
  • Supports Raspberry Pi 5, Raspberry Pi 4B, Zero 2 W, Zero W, and Luckfox Omni3576.
  • 22PIN FPC cable included for connection.

Specifications

Product IMX415 8MP Camera (A)
Sensor IMX415
Camera Type Color
CMOS Size 1/2.8 inch
Recommended Recording Pixels Approx. 8.29MP, 3840 × 2160
Image Size Diagonal 6.43mm
Unit Cell Size 1.45um × 1.45um
Aperture F2.4
Focal Length 2.88mm
FOV 95.5°
Distortion < 1%
Applications Facial recognition, road marking recognition, license plate recognition, and other AI vision applications

Waveshare IMX415 8MP Camera Module dimensions

Applications

  • Facial recognition systems using high-resolution image capture.
  • Road marking recognition and intelligent transport vision tasks.
  • License plate recognition and edge AI camera applications.
  • Embedded high-definition imaging on Raspberry Pi and Luckfox boards.
  • Smart surveillance and monitoring projects requiring wide-angle coverage.
  • Custom AI vision solutions for image analysis and detection.

Waveshare IMX415 camera module features

Product List

  1. IMX415 8MP Camera (A) ×1
  2. 22PIN FPC cable ×1

Other Content

Wide field of view is one of the main strengths of this camera module. The onboard 95.5° lens provides a broad viewing range for embedded camera and AI applications.

Waveshare IMX415 wide field of view

High SNR and low-light performance help the IMX415 camera maintain image quality in more challenging lighting conditions.

Waveshare IMX415 high SNR

Waveshare IMX415 low light performance

Multiple motherboard support is another key advantage. The official connection references cover Raspberry Pi 5, Raspberry Pi 4B, Zero 2 W, Zero W, and Luckfox Omni3576.

Waveshare IMX415 connecting with Raspberry Pi 5

Waveshare IMX415 connecting with Raspberry Pi 4B

Waveshare IMX415 connecting with Zero 2 W

Waveshare IMX415 connecting with Luckfox Omni3576

For Raspberry Pi 4B and Raspberry Pi 3 series, an extra FPC cable is required according to the official connection guidance. Boards and extra accessories shown in the reference images are not included unless listed in the package content.

You can also review OpenELAB articles on Waveshare ecosystem and device setup basics for related project context.

Resources

FAQ

Q: What sensor does this camera module use?
A: It uses the Sony IMX415 image sensor.

Q: Is this a color or monochrome camera?
A: It is a color camera module.

Q: What boards does it support?
A: It supports Raspberry Pi 5, Raspberry Pi 4B, Zero 2 W, Zero W, and Luckfox Omni3576 according to the official materials.

Q: What kinds of applications is it suitable for?
A: It is suitable for facial recognition, road marking recognition, license plate recognition, and other embedded AI vision projects.

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