25mm M12-mount lens (IR-Cut Filter)
€41.14
25 mm M12 lens for up to 1/2" sensors. The lens provides a 15.04° horizontal angle of view, making it suitable for applications that need a narrow field of view and tighter subject framing than standard board lenses. Distortion below 1.1% also makes it a practical option where more natural image geometry and straighter lines are preferred. Suitable for embedded vision, robotics, machine vision, and other compact camera systems that require longer focal length optics.
Selected configuration preview and CAD models
Gallery photos show real products and may represent similar configurations. Rendered preview shows exact selected variant and dimensions. Some variants are made to order, photos may not be available for every configuration. CAD models are available on GitHub.
| Aperture: | f/1.8 |
|---|---|
| Filter: | IRCUT |
| Flange Focal Distance (mm): | 6.1 |
| Focal length (mm): | 25 |
| Image circle (in): | 1/2" |
| Lens controls: | NONE |
| Lens mount: | M12 |
| Lens view angle (deg): | 15.04 |
| Megapixel rating: | 5 |
| Minimum Object Distance (m): | 0.3 |
| HS CODE: | 9002 11 00 90 |
| Country Of Origin: | China |
| Weight (g): | 6.0 |
Accessories
Aluminium adapter for using low-profile or short back focus M12 lenses with CS-mount cameras. It provides an M12 lens interface on a CS-mount camera body, making it useful when compact board lenses need to be fitted to CS-mount systems. Long focal length M12 lenses can also be used with a 5mm spacer ring when additional spacing is needed. This adapter is intended for short back focus lenses, and with some lens and camera combinations the filter may need to be removed to achieve proper fit or focus. The kit includes 2x M2 DIN914 set screws and a 0.9mm hex key. Selected configuration preview and CAD models Gallery photos show real products and may represent similar configurations. Rendered preview shows exact selected variant and dimensions. Some variants are made to order, photos may not be available for every configuration. CAD models are available on GitHub.