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AI Service

LG CNS AI Vision Solution uses powerful image analysis to classify, detect, and make smart decisions in real time. By quickly deploying AI models across logistics sites, it helps automate manual tasks and enhance sortation accuracy. From AI-powered picking robots and intelligent 3-way sortation to automated inspection, mixed de/palletizing, and predictive maintenance, LG CNS delivers a full suite of AI-driven solutions to transform your operations.

Picking Robot

LG CNS Picking Robot is a smart automation solution built to handle item picking in warehouses and distribution centers with speed and precision. By combining robotic arms, AI-powered vision, and advanced logistics software, it boosts efficiency, improves accuracy, and reduces reliance on manual labor—making your operations faster, smarter, and more scalable.

Key Features

  • Automate picking and loading of items on a pallet

  • AI vision-based individual sortation algorithm for mixed pallet

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Applied Technology

  • Region of interest(ROI) extraction from 2D/3D images

  • Parcel detection with AI Algorithms

Intelligent Automatic 3-way Sorting

LG CNS Intelligent Automatic 3-Way Sorting uses AI and advanced automation technology to efficiently sort packages or parcels in three directions (hence, "3-way"). This system is typically used in logistics centers, warehouses, and distribution facilities to optimize parcel handling, improve speed, and reduce human labor.

Key Features

  • Automatic determination/classification by item size and shape through AI Deep learning

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Applied Technology

  • Vision camera-based image recognition

  • Volumetric analysis

  • AI learning for sorting by parcel size and shape

AI-based Automated Inspection

LG CNS AI-based Automated Inspection brings intelligence to quality control by using advanced computer vision and deep learning to detect defects and anomalies with speed and precision. Whether in manufacturing or logistics, it enhances inspection accuracy, reduces labor costs, and ensures consistent product quality—all while keeping your operations running efficiently.

Key Features

  • Automated inspection process

  • Recognizes over 10,000 SKUs, 98% accuracy

  • New products can be added without additional learning

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Applied Technology

  • Product image learning

  • Object detection and background separation, feature extraction, product recognition

Mixed Depalletizing

LG CNS Mixed Depalletizing leverages AI and robotics to automate the unloading of goods from pallets, even when various types of items (mixed SKUs) are stacked together. This complex task, traditionally handled by humans, is made more efficient and accurate, streamlining operations in warehouse and distribution centers.

Key Features

  • 3D Vision camera extracts images and recognizes box position

  • Realization of accurate cargo picking and depalletizing by accurate box coordinate extraction

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Applied Technology

  • Vision camera-based image recognition

  • Optimal movement algorithm

Mixed Palletizing

LG CNS Mixed Palletizing automates the process of efficiently stacking a variety of products—regardless of shape, size, or weight—onto a single pallet. Ideal for logistics centers, warehouses, and distribution environments, this technology maximizes space utilization, improves product handling accuracy, and boosts overall operational efficiency.

Key Features

  • Item size recognition and pallet loading status monitoring with 3D vision

  • Increase efficiency through AI-based loading position simulation

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Applied Technology

  • Vision camera-based image recognition

  • Optimal loading algorithm

  • Loading status monitoring

Predictive Maintenance

LG CNS Predictive Maintenance is a cutting-edge digital solution that uses AI, IoT, Big Data analytics, and cloud computing to monitor equipment conditions and predict potential failures before they occur. Designed to boost operational efficiency, minimize downtime, and optimize maintenance schedules, it’s ideal for smart factories, logistics, and infrastructure environments, keeping your systems running smoothly and reliably.

Key Features

  • Failure detection through IoT and AI etc.

  • Optimal equipment maintenance time notice based on accumulated data analysis

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Applied Technology

  • IoT-based data collection

  • Data accumulation/analysis/judgment (Failure detection, life span prediction, optimal maintenance time determination)

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