Solution overview
PalletPro uses a ToF depth camera to capture a pallet point cloud and outputs geometric features, position, and pose through the recognition algorithm. Historical test records report distance error within ±10 mm at a 2 m working distance; validate actual performance against pallet type, installation, and site conditions.Solution characteristics
- 3D pose output: Support pallet recognition from initial localization through fine positioning.
- Multiple pallet types: Configure recognition for pallets with different shapes, sizes, and materials.
- Complex-scene recognition: Use depth data to reduce the impact of complex backgrounds and lighting changes.
- Outdoor support: Historical material includes outdoor tests; validate the target environment before deployment.
Recognition examples
Demonstration and test videos
- Multiple pallet tests
- Outdoor test
- Long-reach forklift test
PalletPro operation guide
See software operation, calibration, and recognition deployment instructions.