Use case

Our solution detects, classifies, and counts cigarette cartons and boxes discharged from an Automatic Dispensing System (APS) as they move along a high-speed conveyor at 1.5 m/s. Powered by AiVOps, our MLOps platform, the system enables rapid on-site labeling, training, and model deployment, allowing seamless adaptation to newly designed or previously unseen products.

This vision solution integrates an advanced optical system, deep learning models, and 3D vision algorithms to precisely detect and classify boxes and slip sheets on a pallet, ensuring that only the boxes are restacked.

AiV’s proprietary 3D optical system, combined with cutting-edge deep learning models and computer vision algorithms, enables highly precise depalletizing of boxes with exceptional accuracy.

AiVot is a high-precision robotic solution designed for seamless and efficient palletizing and depalletizing operations.

Leveraging 3D laser profiling technology, our solution rapidly scans all four sides of the ball joint, integrating 2D imaging and 3D data for highly precise inspection. A deep learning-based 2D segmentation model first identifies potential defect areas, after which the system selectively crops only the relevant regions from the 3D data, optimizing the detection process for maximum efficiency.

Our solution performs a 360-degree full-range inspection of input shafts, precisely detecting defects such as foreign particles, dents, chip entanglement, incomplete machining, and contamination with micron-level accuracy down to 500μm.