A DS-A10700 structured-light camera works with an industrial robot while AIRVision performs part localization, curvature analysis and feature extraction. Path-planning software generates grinding paths, and an AI-assisted process model combines with force control for accurate finishing.
The DS-A10700-P camera is optimized for transparent and other challenging materials. It supports a field of view of 840 mm by 640 mm with a capture time of 0.8 seconds for vision-guided robotic picking.
Garment cutting involves 3D shapes that are difficult to plan with conventional vision, while elastic fabrics deform easily. A DS-L10400 camera scans the fabric from a moving platform, AIRVision detects the cutting line and generates a path, and a collaborative robot follows the planned trajectory.
A collaborative robot carries an A10400 structured-light camera to scan the bottom of the battery box. AIRVision locates the enclosure, segments the base and calculates the dispensing path and speed at each point.
3D vision reconstructs transparent, dark and other challenging materials. Combined with robotic grasp planning, it supports automatic sorting in unmanned retail environments.
Irregular, reflective metal parts demand accurate imaging and handling. An eye-in-hand 3D vision system provides high-quality point clouds and flexible changeover between part types.
An eye-in-hand camera with a large field of view compensates for incoming position variation on reflective, irregular sheet-metal parts while keeping image capture and point-cloud processing within two seconds.
Multi-dimensional vision guidance and grasp planning handle mixed box sizes and irregular stacks, improving parcel depalletizing and loading throughput.
AIeveR Robotics Limited