Automating Warehouse Logistics with AI

Strong e-commerce sales and labor shortages are pushing warehouse logistics to their limit. Consumers are ordering more goods over the Internet and expecting rapid delivery, which requires transfer, distribution, and fulfillment centers to increase productivity and accuracy. To boost logistics processes, solutions based on artificial intelligence (AI) technologies can help scale up operations capacity, improve operation efficiency, and ensure workplace safety.

Improve Warehouse Operations Throughout the Entire Workflow

AI can automate warehouse operations, augment worker’s efforts, and free workers from monotonous tasks. Here are examples of how warehouses can benefit from AI throughout the entire workflow.

 

Receiving

AI-based receiving solutions can automatically identify and count received items, inspect them for damage, and provide a real-time report. AI-based vision systems can increase the speed and accuracy of returns processing by identifying the pieces of the returned item and checking them against a packing list.

Putaway and Replenishment

Material handling processes with AI technology can increase accuracy and productivity by sorting goods based on purchase order, product type/size, or part numbers. Compared to humans, autonomous mobile robots (AMRs) can typically operate in narrower aisles, thereby increasing floor space utilization.

Picking and Packing

Solutions with AI-based vision, like conveyers, collaborative robots, and palletizers, can help reduce picker travel time, increase picking accuracy and throughput, and automate picking and other manual processes. They can also check for product damage, verify the correct products are being picked, and capture proof-of-packing to resolve disputes.

Docking and Shipping

AI-enabled AMRs and autonomous forklifts can increase loading dock throughput by handling full, palletized truckloads and coordinating with robotic peers to keep goods flow error-free. AI-based vision systems enhance worker safety by alerting when warehouse workers lack proper personal protective equipment or enter restricted areas without authorization.

Build Well-Rounded AI Solutions for Warehouses and Logistics

AI solutions must deliver the responsiveness, performance, reliability, and development environment needed to perform warehouse tasks.

 

Employ Edge AI

Warehouse applications are time-critical, expected a 0.2 seconds or less cycle time from input data to analysis to action. Edge AI reduces latency, enhances data security and privacy, improves resilience and reliability, and lowers communication costs by processing data on the site instead of in the cloud.

Maximize Reliability

Developers should pay special consideration to cost, installation space, weight limit, and power efficiency. For example, battery-powered AMRs may prefer compact, low-power computing platforms. EMC is an important consideration to ensure reliable operation.

 

Optimize Computing Performance

AI algorithms work on different types of data. Heterogeneous architecture enables system optimization by running different types of workloads on a mix of processor cores, like CPUs, GPUs, FPGAs and ASICs.

Leverage Extensive Development Environment

Building robotics and AI applications from scratch is expensive and time-consuming. Pre-trained AI models, ready-to-use software development kits, and open source resources help developers fast track their projects from proof-of-concept to prototype.

Configure Your AI Solution for Success

System developers, OEMs, and SI’s can more easily and quickly deploy AI in warehouse solutions using ADLINK’s large portfolio of computing products and building blocks for a wide range of form factors. Supported by an extensive development environment, these capabilities deliver high performance and reliability without disrupting existing operating procedures.

Deep Learning Acceleration Platforms for Edge AI

  • DLAP-301-Nano

    AI-enabled Embedded NVR Powered by NVIDIA® Jetson Nano™ Learn more

    DLAP-301-JNX

    AI-enabled Embedded NVR Powered by NVIDIA® Jetson Xavier™ NX Learn more

    DLAP-201-JT2

    NVIDIA® Jetson™ TX2 Edge AI Inference Platform Learn more

    DLAP-211-Nano

    NVIDIA® Jetson Nano™ Edge AI Inference Platform Learn more

    DLAP-211-JNX

    Jetson Xavier™ NX Edge AI Inference Platform Learn more

Edge Computing Platforms for AI Vision, Motion, and DAQ Integration

  • IPC Systems
  • Expandable Fanless Embedded Computers
  • Intergrated Fanless Embedded Computers
  • DLAP-8000 Series

    9th Gen Intel® Xeon®, Core™ i7/i5/i3-Based Compact Industrial GPU Workstation Learn more

    DLAP-4000 Series

    Embedded System supporting FHFL dual-width PEG slot with 8th/9th Generation Intel® Core™ i7/i5/i3 in LGA1151 Socket Learn more

    DLAP-3200-CF Series

    Embedded System supporting MXM Graphics Module with 8th/9th Generation Intel® Core™ i7/i5/i3 in LGA1151 Socket Learn more

    DLAP-3100-CF Series

    Embedded System supporting MXM Graphics Module with 8th/9th Generation Intel® Core™ i7/i5/i3 in LGA1151 Socket Learn more

    DLAP-3000-CF Series

    Embedded System supporting MXM Graphics Module with 8th/9th Generation Intel® Core™ i7/i5/i3 in LGA1151 Socket Learn more
  • MVP-6100 Series

    Expandable Industrial Computer with Intel® Xeon®/Core™ i7/i5/i3 & 8th Gen Celeron® Learn more

    MVP-6100-MXM Series

    Value Family 9th Gen Intel® Xeon®/Core™ i7/i5/i3® Processor-Based Expandable GPU Workstation Platforms Learn more
  • MVP-5100 Series

    Integrated Embedded Computer with 9th Gen Intel® Core™ i3/i5/i7 or 8th Gen Celeron® Learn more

    MVP-5100-MXM Series

    Value Family 9th Gen Intel® Core™ i7/i5/i3® Processor-Based Embedded GPU/AI Platforms Learn more

AMR/Autonomous Device Controllers

  • ROS2 Controllers
  • Jetson-based Controller
  • RQX-580/58G

    Expandable ROS 2 Robotic Controller powered by NVIDIA® Jetson™ AGX Xavier Learn more

    RQP-T33/35/37

    Compact Fanless ROS2 Robotic Controller with Intel® 11th Gen Core Processor Learn more

    NPN-1B/2B

    Compact Fanless Robotic Controller based on NVIDIA® Jetson™ NX Learn more

    RQI-53/55/57/58

    Expandable ROS2 Robotic Controller with Intel® 9th Gen Core Processor Learn more
  • DLAP-401-Xavier

    Edge AI Inference Platform by NVIDIA® Jetson AGX Xavier™ Learn more

Embedded MXM GPU Modules

  • Ampere Architecture
  • Turing Architecture
  • Pascal Architecture
  • EGX-MXM-A4500

    Embedded MXM GPU Module with NVIDIA RTX™ A4500 Learn more

    EGX-MXM-A2000

    Embedded MXM GPU Module with NVIDIA RTX™ A2000 Learn more

    EGX-MXM-A1000

    Embedded MXM GPU Module with Embedded NVIDIA RTX™ A1000 Learn more

    EGX-MXM-A500

    Embedded MXM GPU Module with Embedded NVIDIA RTX™ A500 Learn more
  • EGX-MXM-RTX5000

    Embedded MXM GPU Module with NVIDIA® Quadro® RTX5000 Learn more

    EGX-MXM-RTX3000

    Embedded MXM GPU Module with NVIDIA® Quadro® Embedded RTX3000 Learn more

    EGX-MXM-T1000

    Embedded MXM GPU Module with NVIDIA® Quadro® Embedded T1000 Learn more
  • EGX-MXM-P2000

    Embedded MXM GPU Modules with NVIDIA® Quadro® Embedded P2000 Learn more

    EGX-MXM-P1000

    Embedded MXM GPU Module with NVIDIA® Quadro® Embedded P1000 Learn more

PCI Express Graphics Cards

  • Ampere Architecture
  • Turing Architecture
  • Pascal Architecture
  • NVIDIA RTX A6000E

    PCI Express Graphics Cards with RTX A6000E Learn more

    NVIDIA RTX A5000

    PCI Express Graphics Cards with RTX A5000 Learn more

    NVIDIA RTX A4000E

    PCI Express Graphics Cards with RTX A4000E Learn more

    NVIDIA RTX A2000E

    PCI Express Graphics Cards with RTX A2000E Learn more
  • Quadro PEG RTX5000

    PCI Express Graphic Card with NVIDIA® Quadro® RTX5000 Learn more

    Quadro PEG RTX4000

    PCI Express Graphic Card with NVIDIA® Quadro® RTX4000 Learn more

    NVIDIA RTX T1000E

    PCI Express Graphics Card with NVIDIA RTX™ T1000E Learn more
  • Quadro-E PEG P1000

    PCI Express Graphic Card with NVIDIA® Quadro® Embedded P1000 Learn more

    Quadro-E PEG P620

    PCI Express Graphic Card with NVIDIA® Quadro® Embedded P620 Learn more

Resource Library

  • Solution Brief
  • Use Case
  • Brochure
  • Video

Automate Logistic Automation with AI

The rapid expansion of e-commerce and the global marketplace are driving a surge in package volume, which is stressing warehouse logistics in transfer, distribution, and fulfillment centers. Warehouse operators are also struggling to hire enough workers, reduce errors, and maintain a safe work environment. Helping to address these critical issues, logistics automation solutions providers are using artificial intelligence (AI) at the edge of the network in a wide variety of applications.

Download this solution brief to learn how AI-based solutions can help operators automate and optimize common warehouse processes.

Key Takeaways

  • Key challenges faced by warehouses on a daily basis
  • 5 ways AI can improve warehouse operations
  • 4 tips to implement AI-based solutions for warehouses and logistics

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Improving Production Processes with Autonomous Mobile Robots

Seeking to increase logistics efficiency, automotive manufacturers are developing and deploying autonomous mobile robots (AMRs) capable of handling and transporting production material without human intervention. idealworks, a wholly-owned subsidiary of BMW Group, turned to NVIDIA and ADLINK for support in developing the necessary software stacks and robust, edge AI computing platforms.

Download this use case to learn how NVIDIA and ADLINK helped idealworks build AMRs to free employees from repetitive loading tasks and allow them to focus on their core competencies.

Key Takeaways

  • Route planning and safe navigation by running complex AI computations in real time
  • Reliable AMR operation powered by rugged ADLINK edge AI platforms
  • Accelerated AMR development leveraging the NVIDIA Isaac SDK

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GPU Solutions

Simplify the Design and Deployment of Edge Computing and Edge AI Applications
ADLINK extends system performance, lifecycle, and ROI with hardware optimization

  • Embedded Graphics/Deep Learning Accelerator
  • GPU Computing Platform
  • Edge AI Platform
  • Customization Services

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Transform Logistics with Powerful and Compact ADLINK Platforms

Deploying AI at the edge improves operational efficiency by augmenting workers’ efforts and automating warehouse processes. ADLINK’s deep learning acceleration platforms based on NVIDIA Jetson modules deliver powerful AI inference for real-time image analysis, machine vision, and robotics operations to speed up AI adoption.

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