L064-2.1-M12

2.1mm M12 wide angle low distortion fixed focus lens

Pictures

Specifications

Dimensions

Distortion map

The field angle map shows iso angle contour lines projected through the calibrated lens model onto the sensor plane. Each line represents a constant field angle from the optical axis outward. Straight, evenly spaced lines indicate clean rectilinear behavior. Curved or compressed lines reveal barrel or pincushion distortion. The blue dashed circle marks the image circle boundary - beyond it, no usable image is formed. All content outside the circle is clipped for clarity. This map is the quickest way to evaluate how a lens distributes angular information across the sensor and whether the distortion profile is suitable for your application.

DOF

The depth of field chart shows the near and far focus limits as a function of subject distance for a given f-number. The circle of confusion (CoC) defines the largest blur spot that still appears sharp in the final image. Here it is set at the Nyquist limit - twice the pixel pitch - which represents the smallest detail the sensor can physically resolve. Short focal length lenses produce inherently deep depth of field. In many cases the hyperfocal distance is well under one meter, meaning everything beyond that distance is acceptably sharp without refocusing. This is especially relevant for surveillance, machine vision, and multi camera rigs where active focus adjustment is impractical or undesirable.

Cube projection

The camera is placed at the center of a virtual cube, facing the front wall. Grid lines on all visible faces are projected through the calibrated lens model. Each wall is drawn in a distinct color - front, sides, top, bottom, and back - so you can immediately see which faces the lens covers. A lens with a horizontal FOV beyond 90 degrees will show portions of the side walls. Very wide lenses will reveal all five forward facing walls, while only ultra wide fisheye designs reach the rear wall behind the camera. The view is clipped to the image circle, showing only the usable portion of the projection. This gives an intuitive, at a glance sense of the lens's spatial reach and how it distorts geometry toward the edges.

GSD

The GSD chart shows the minimum physical feature size that can be resolved as a function of distance for several pixel count thresholds. The relationship is linear - feature size grows proportionally with distance - but the log scaled distance axis reveals how quickly resolving power falls off at range. Each threshold corresponds to a tier from the Johnson criteria, widely used in surveillance and machine vision: detection (1-2 pixels) confirms that something is present, recognition (6-8 pixels) determines the class of object, and identification (12-20 pixels) distinguishes one specific object from another. For each threshold the chart shows two lines: the center of the image circle where angular resolution is highest, and the edge where it degrades. Short focal length lenses cover wide fields of view but sacrifice per pixel resolving power at distance. Long focal length lenses push the detection and identification envelopes much further but see a narrower scene. This tradeoff is fundamental when selecting optics for a given working distance - the chart makes it possible to read off directly whether a lens can detect a 1mm defect at 5meters or identify a person at 200meters.

Panorama projection simulation

The panorama projection renders a full 360x180° equirectangular scene through the calibrated lens model, showing exactly what the camera would capture in a real environment. The image is generated by tracing rays from every pixel through the lens distortion model into the panorama, producing a geometrically accurate view that includes all barrel distortion, pincushion, and field curvature native to the optic. The image circle boundary marks the physical limit of the lens illumination - pixels outside it receive no light and are masked black. Sensor overlays drawn inside the circle show how much of the projected scene each sensor format actually captures, making it immediately obvious whether the sensor is under-filling or over-filling the image circle. Wide angle and fisheye lenses compress a large solid angle into the circle, pulling peripheral detail toward the edges where pixel density drops and distortion increases. Narrow lenses frame a smaller portion of the scene but preserve straight lines and uniform sampling across the field. The principal point crosshair marks the optical axis where resolution peaks and distortion is zero. Comparing this projection across different lens and sensor combinations reveals the practical tradeoff between field of view coverage and per-pixel fidelity - the same scene detail that fills dozens of pixels at image center may occupy only a few pixels near the circle edge, directly impacting detection and recognition capability at the periphery.