3D bin picking
3D localization of loose parts allows the robot to calculate the optimal pick without a dedicated gripper or organized feeding. At Psycle, vision models adapt to the diversity of shapes and materials.
Robot guidance
Waste sorting
Machine vision identifies and classifies heterogeneous flows in real time by type, shape or color, to guide a sorting robot with a precision that conventional detection systems cannot achieve.
Complex depalletizing
Mixed layers, disorganized packages, variable heights: 3D vision algorithms detect each unit and calculate the optimal unstacking sequence for autonomous operation without human intervention.
Food product picking
Poultry, vegetables, pastries: picking non-rigid or irregular products from a bin or a moving belt requires vision that can handle deformation, glossiness and variations in shape at industrial speeds.
Vision-guided assembly
Vision-based robot guidance positions each component with sub-millimeter accuracy for insertion, screwing or clipping operations, even when the part arrives in an uncontrolled pose.
Robot arm-mounted inspection
Mounting the camera directly on the robot arm makes it possible to combine guidance and quality control in a single cycle, with no dedicated inspection station, reducing line footprint and cycle time.