Redefining robot precision and speed with AI vision

AI powered for complex surfaces in harsh conditions

CameraPoint cloud
Point-cloud cases

  • A passive stereo solution delivers accurate 3D reconstruction of complex parts.
  • Reliably captures complete 3D data for irregular structures, curved surfaces, and angular parts.

  • The proprietary DexVerse engine addresses imaging challenges with transparent, dark, and highly reflective objects.
  • AI models extend imaging to materials that are hard for standard vision systems.

  • Import CAD models directly, with no manual labeling.
  • A streamlined vision-only design reduces hardware cost without compromising imaging quality.

Solutions

Loading and Unloading

AI + 3D vision guided workpiece handling

AI + 3D vision guide robots to pick randomly stacked or closely packed parts from bins for transfer or further processing. The solution supports workpiece handling in automotive, logistics,construction machinery, and steel manufacturing.

Learn more
Loading and Unloading

AI + 3D vision guided workpiece handling

AI + 3D vision guide robots to pick randomly stacked or closely packed parts from bins for transfer or further processing. The solution supports workpiece handling in automotive, logistics,construction machinery, and steel manufacturing.

Learn more
Robot vision guidance on an automotive parts line

AI + 3D vision guided positioning and assembly

AI and 3D vision identify workpiece position and orientation in real time to guide precise picking, positioning, and assembly. It handles different part sizes and flexible production lines, improving assembly consistency and cutting changeover time.

Learn more

Specifications

Product model
KINGFISHER-S-601
KINGFISHER-S-601
KINGFISHER-S-1001
KINGFISHER-S-1001
KINGFISHER-W-3003
KINGFISHER-W-3003
Field of view (H/V)
Dimensions (mm)
Weight (kg)
Baseline (mm)
Resolution (px)
Interface
Certifications
Protection rating
Near field of view (mm)
Far field of view (mm)
Recommended distance (mm)
Repeatability (mm)
XY-axis accuracy
Typical acquisition time (s)
Output data
Operating systems
SDK interfaces
58°/37°
96.5×94.5×38.5
0.39
60
1920×1080
Gigabit Ethernet
CE、FCC、RoHS、KC
IP65
186×134
1171×674
200-1000
0.288
0.64mm@1000mm 0.13mm@200mm
1
Color image, depth map, point cloud
Windows 11/Linux
C/C++/C#/python
48°/39°
209×134×46
1.0
150
1280×1024
Gigabit Ethernet
CE、FCC、RoHS、KC
IP65
455×355
1803×1425
500-2000
0.259
0.35mm@0.5m 1.39mm@2m
1
Color image, depth map, point cloud
Windows 11/Linux
C/C++/C#/python
50°/43°
457×129×48
1.5
400
1280×1024
Gigabit Ethernet
CE、FCC、RoHS、KC
IP65
1452×1166
3274×2721
1500-3500
0.272
1.13mm@1.5m 2.56mm@3.5m
1
Color image, depth map, point cloud
Windows 11/Linux
C/C++/C#/python