Computer vision in logistics

Ultralytics YOLO models help streamline logistical workflows by leveraging computer vision to accelerate supply chain processes and detect issues early.

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Ultralytics YOLO applications in logistics

Object detection

With Ultralytics YOLO11 warehouses can streamline inventory checks using object detection in logistics.

Instance segmentation

YOLO11 can segment packages, labels, logos, and delivery personnel in real-time to enhance tracking.

Image classification

Computer vision models like YOLO11 make classifying stock effortless, streamlining workflows.

Pose estimation

Vision AI can help monitor the postures of warehouse workers to identify unsafe practices.

OBB object detection

Monitor warehouse logistics, with oriented bounding box object detection, to reduce errors.

Object tracking

Computer vision can monitor and track packages in sorting systems improving inventory management.

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Benefits of computer vision in logistics

01

AI boosts logistics service levels by 65%

AI in logistics is helping companies achieve 15% cost savings, 35% inventory optimization, and drastically improved service levels.

02

AMRs are boosting productivity by 200%

Using technologies like YOLO11, Autonomous Mobile Robots (AMRs) in logistics are increasing productivity and creating near “zero-defect” workflows.

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Frequently asked questions

How is computer vision used in a warehouse?

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