遮挡计算器

In any triangulation based 3D vision system occlusion can occur. For guidance on positioning the camera to minimize occlusion in a real setup, see the positioning pages for bin-picking, piece-picking, and depalletization.

Occlusion from Object Height

Occlusion can also occur from the height of an object itself, independent of any bin wall or divider. In the illustration below, the taller blue object hides the shorter orange object.

Whether a tall object occludes its neighbors depends on several factors: where it sits along the camera's horizontal axis, its height and width, and its distance from the camera. The camera's baseline also plays a role.

How does the calculator work?

The camera and projector each sit offset from the camera's horizontal center by half the baseline, on opposite sides. The object is not a single point: it spans from object_position - object_width / 2 to object_position + object_width / 2. An emitter's shadow reaches as far as the ray through the object's farthest corner from that emitter: the camera (on the left) is bounded by the object's right face, the projector (on the right) by its left face. The ray through the near face lands short of that point, so it is not the binding constraint: everything between the two rays is still blocked by some part of the object's silhouette as seen from that emitter. A ray from an emitter grazing the top of the face that bounds it continues in a straight line down to the surrounding scene, marking one edge of the shadow that emitter casts. The calculator computes each edge as:

face_position + (face_position - emitter_position) * (object_height / distance_to_top)

• face_position is the object's right face for the camera's ray, and its left face for the projector's ray.

• emitter_position is -baseline / 2 for the camera and +baseline / 2 for the projector.

• object_height is the height of the object in mm.

• distance_to_top is the distance from the camera to the top of the object in mm, computed as distance_to_bottom - object_height.

The camera's ray extends the shadow beyond the object's right face, so the right occlusion is that edge minus the right face's position. Likewise, the left occlusion is the object's left face minus the projector's edge. If a ray lands back inside the object's own footprint instead of beyond it, the occlusion on that side is clamped to 0. Neither depends on the object's position, only on its height, width, and distance, so moving the object along the horizontal axis shifts the shadow without changing the occlusion on either side. When the object's width is negligible and it is centered directly below the camera (object_position is 0), the left and right occlusion are equal and this reduces to the same object_height * tan(atan(baseline / 2 / distance_to_top)) form used for the shared-wall case below.

The range of the object-position slider comes from the camera's field of view at distance_to_bottom (the same working distance used by the field of view calculator), so the object can only be placed where the camera can actually see it.

Occlusion from Multiple Bins

在固定安装的料箱拣选或单品拣选应用中，料箱侧壁或隔板会造成这种情况。如果相机正在对两个隔离的空间成像，则可以通过将相机基线与共享的侧壁或隔板对齐来避免遮挡。如果有两个以上的隔间，则不可能进行这种对齐。例如：

• 从超过 2 个箱子中抓取物体

• 从有 2 个或更多隔板的箱子中抓取物体

基线越大 ➞ 遮挡问题越严重

2 个箱子，可忽略不计的遮挡

俯视图

侧视图

4 个料箱，遮挡无法避免

俯视图

侧视图

下面的计算器显示了单个箱壁或隔板的遮挡效果。相机被直接放置在箱壁上方，以尽量减少最坏情况下的遮挡问题。您可以看到遮挡在箱壁的两侧是对称的。

How does the calculator work?

The calculator computes occlusion as bin_depth * tan(atan(baseline / 2 / distance_to_bin)).

• baseline is the camera's baseline in mm.

• distance_to_bin is the distance from the camera to the top of the bin in mm.

• bin_depth is the depth of the bin (or divider height) in mm.

The 2D camera and projector each sit offset from the camera's center by half the baseline. With the camera centered above the shared wall, the one further from a given side is the one whose view over that wall is blocked first, so its offset (half the baseline) sets the occlusion angle on that side. The examples below use this formula directly, with real camera baselines and the calculator's own AutoStore bin depths.

Camera	Baseline	Bin depth	Distance to top	Occlusion	Note
Zivid 2+	110 mm	200 mm (Small AutoStore)	500 mm	Approximately 22.0 mm	A shorter camera-to-bin distance increases occlusion even with a shallower bin.
Zivid 2+	110 mm	330 mm (Medium AutoStore)	1000 mm	Approximately 18.2 mm
Zivid 3 XL250	250 mm	425 mm (Large AutoStore)	1000 mm	Approximately 53.1 mm	At the same 1000 mm distance, the larger baseline accounts for most of the increase in occlusion from the row above; the deeper bin adds comparatively little on its own.