Arducam LK002 Low Distortion M12 mount camera lens kit for Arduino and Raspberry Pi camera
Brand: Arducam
Features
About this item
The Arducam LK002 is a precision-engineered low distortion camera lens kit designed for Arduino and Raspberry Pi camera modules with M12 lens mounts. This kit provides a high-quality optical solution for users who require minimal image distortion and enhanced image clarity, making it ideal for applications such as robotics, surveillance, industrial inspection, and computer vision. Featuring carefully designed lens elements, the LK002 minimizes barrel and pincushion distortion common in wide-angle lenses, ensuring straight lines remain straight and images stay true to life. This low distortion performance is critical for machine vision and measurement tasks where accurate spatial representation is required. The kit includes multiple lenses, allowing users to select the optimal focal length and field of view for their specific project needs. All lenses are compatible with standard M12 mounts, making installation quick and easy without any modifications. The rugged build ensures durability in various environments, supporting both indoor and outdoor applications. Designed to complement the Raspberry Pi Camera series and various Arduino-compatible camera modules, the LK002 lens kit enhances overall image quality and consistency, making it an excellent choice for developers and hobbyists aiming for professional-grade imaging results.
Specifications
| Lens Type | Low distortion multi-element M12 lens kit |
|---|---|
| Mount | Standard M12 screw mount compatible with Raspberry Pi and Arduino cameras |
| Distortion | Minimal barrel and pincushion distortion |
| Material | High-quality optical glass elements |
| Focal Lengths Included | Multiple lenses with varying focal lengths (e.g., 2.1mm, 3.6mm, 6mm options) |
| Field of View | Varies by lens, typically wide to medium angle coverage |
| Compatibility | Works with Raspberry Pi Camera modules and Arduino SPI cameras with M12 mounts |
| Use Cases | Robotics, surveillance, industrial vision, computer vision, and measurement applications |
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