SKU: IOWC-0584
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Waveshare IMX415 8MP Camera Module with F2.0 Aperture

₹3,409.00 (Inclusive of all taxes)
Out of Stock

The Waveshare IMX415 8MP Camera Module delivers high-resolution imaging with a 98° wide-angle FOV and F2.0 aperture, optimized for low-light AI vision tasks on platforms like Raspberry Pi and embedded systems.

Features

  • High-resolution 8.29MP (3840×2160) sensor captures detailed imagery for AI and computer vision applications.
  • 98° wide-angle lens provides a broad field of view, ideal for surveillance and scene monitoring.
  • High SNR and F2.0 aperture ensure excellent low-light performance and clarity in dim environments.
  • Low distortion (<1%) maintains image accuracy for precise object recognition and measurement.
  • Robust build ensures reliability for integration into Raspberry Pi and embedded IoT projects.

Out of stock

Description

The Waveshare IMX415 8MP Camera Module is engineered for demanding embedded vision applications requiring high fidelity and reliability. Its Sony IMX415 sensor provides an 8.29-megapixel resolution, enabling detailed capture for advanced AI processing tasks such as facial recognition, license plate reading, and object detection. The module’s optical design incorporates a wide 98-degree field of view lens with a fast F2.0 aperture, maximizing light intake to deliver superior performance in challenging low-illumination conditions.

Built for system integrators and developers, this camera module features a high signal-to-noise ratio (SNR) architecture that minimizes visual noise, resulting in cleaner, more accurate images. The low-distortion lens (<1%) ensures geometric integrity, which is critical for measurement and recognition algorithms. Its compact form factor and standard interface compatibility facilitate straightforward integration into Raspberry Pi-based systems and custom embedded platforms, making it a versatile component for smart security, industrial inspection, and autonomous robotics projects.

Key Features

  • Sony IMX415 8.29MP (3840x2160) sensor for high-detail image and video capture.
  • 98° wide-angle lens with <1% distortion for accurate, broad-scene monitoring.
  • Fast F2.0 aperture maximizes light capture, enhancing low-light sensitivity and SNR.
  • Optimized for AI vision workloads including facial, object, and license plate recognition.
  • Robust mechanical design ensures durability in diverse environmental conditions.
  • Compatible with Raspberry Pi and other embedded Linux/ARM-based development platforms.
  • Standard MIPI CSI-2 interface (implied) for high-speed data transfer to host processor.

Applications

  • AI-powered facial recognition and people counting systems.
  • Automated license plate recognition (ALPR) and traffic monitoring.
  • Smart security and surveillance with low-light capability.
  • Industrial machine vision for quality inspection and object detection.
  • Robotics and autonomous vehicle perception modules.

Technical Specifications

Sensor ModelSony IMX415
Resolution8MP (8.29MP, 3840x2160)
Lens ApertureF2.0
Field of View (FOV)98°
Optical Distortion<1%
Key PerformanceHigh SNR, Good Low-Light
Primary InterfaceMIPI CSI-2 (Typical for IMX415)
Typical PlatformRaspberry Pi, Embedded Linux
Dimensions (Shipping)5 × 5 × 4 cm

Frequently Asked Questions

What platforms is the Waveshare IMX415 camera compatible with?

The module is primarily designed for Raspberry Pi boards (using the MIPI CSI-2 interface) and other embedded systems with a compatible CSI host port. You will need to install the appropriate V4L2 driver or use libraries like OpenCV or Picamera2 on the Raspberry Pi OS to capture and process the video stream. Ensure your host platform supports the required data lane configuration for the IMX415 sensor.

How do I achieve the best low-light performance with this camera?

Utilize the built-in F2.0 aperture to maximize light intake. Configure the sensor's exposure time and gain settings via software (e.g., using `libcamera` or `raspistill` commands on Raspberry Pi) to optimize for dim environments. A well-lit scene or supplemental IR illumination can further enhance performance. The high SNR of the IMX415 sensor inherently reduces noise in the captured image under low-light conditions.

What software is needed to run object detection or facial recognition?

After physically connecting the camera to your Raspberry Pi's CSI port, install a compatible OS like Raspberry Pi OS 64-bit. Install Python libraries such as OpenCV, TensorFlow Lite, or PyTorch for AI inference. You can use pre-trained models for facial recognition (like Face Recognition library) or train custom models using frameworks like YOLO. The high 8MP resolution provides ample detail for accurate object detection and classification algorithms.

Package Includes

  • 1 x Waveshare IMX415 8MP Camera Module

Additional Information

Weight 0.016 kg
Dimensions 5 × 5 × 4 cm