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    Nancal Embodied Intelligence Smart City Solution

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    Deployed on AWS
    Nancal Embodied Intelligence Smart City Solution replaces manual patrol with AI robots, achieving 24/7 city-level autonomous inspection, intelligent interaction, and security monitoring, significantly reducing operational costs and safety risks. Powered by AWS-native AI and IoT services with a cloud-edge collaborative architecture, it delivers millisecond-level real-time response and GDPR-grade data compliance, applicable to smart cities, industrial parks, and high-risk industrial environments.

    Overview

    Nancal Embodied Intelligence Smart City Solution is jointly built by NengKe AI Smart Manufacturing and AWS. Using AI robots as physical carriers and leveraging AWS cloud-native services, it creates a cloud-edge-device three-tier collaborative architecture for smart cities, industrial parks, and high-risk industrial environments.

    Three Core Scenarios:

    1. Urban Government Patrol: Equipped with Alpha B2 industrial-grade robot dogs (3D LiDAR + dual-vision sensors), using GPT-5.6 Terra (Amazon Bedrock) for cloud-based task planning, combined with HERE API and VLN models for autonomous navigation. Edge devices run OpenVLA/RT-2 for physical action execution, supporting 24/7 road, facility, and environmental anomaly detection and alerting.
    2. Smart City Navigation & Interaction: Based on Claude Opus and GPT-5.6 Sol (Amazon Bedrock) for multimodal intelligent guidance and visual perception, combined with HERE Indoor for indoor/outdoor spatial navigation, supporting high-concurrency elastic invocation for high-traffic public scenarios.
    3. Electronic Fence Zone Inspection: Event-driven fully unmanned operation through AWS IoT Events + Lambda, edge-side reinforcement learning (PPO/DQN) for autonomous path planning, and on-device YOLOv8 for millisecond-level intrusion detection and equipment fault identification.

    Training Platform: Built on Amazon SageMaker, EC2 GPU, IoT Greengrass, S3/DynamoDB/Timestream, covering a six-step closed loop from data collection, intelligent annotation, reinforcement learning training, automated deployment, edge inference to monitoring iteration, with CI/CD automation pipeline support.

    Compliance & Security: Strictly follows GDPR standards with real-time facial blurring and license plate masking on NVIDIA Jetson edge devices. Raw video is processed locally and destroyed immediately. Combined with CloudTrail auditing and IAM fine-grained access control, ensuring zero sensitive data leakage.

    Hardware Capabilities: Alpha B2 Industrial Edition, 40kg/120kg load capacity, >4 hours endurance, supporting multi-form robot ecosystem including quadruped, wheeled, humanoid, and UAV.

    Highlights

    • Smart City Navigation & Interaction

    Details

    Delivery method

    Supported services

    Delivery option
    New delivery option 1

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    Pricing

    Nancal Embodied Intelligence Smart City Solution

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    This product is available for a fee. If you have any questions or require support, please contact us at caoyu@nancal.com 

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    Usage information

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    Delivery details

    New delivery option 1

    Supported services: Learn more 
    • Amazon ECS
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    v1

    Additional details

    Usage instructions

    Prerequisites

    • An active AWS account
    • Docker installed or access to Amazon ECS/EKS
    • Appropriate IAM permissions to pull images from ECR

    Steps to Deploy

    1. Subscribe to this product on AWS Marketplace.

    2. Pull the container image: docker pull <ECR_image_URI>

    3. Run the container: docker run -d -p 8080:8080 <ECR_image_URI>

    4. Access the service at http://localhost:8080 

    Configuration

    • Environment variables:
      • API_KEY: Your API key
      • PORT: Service port (default: 8080)

    Support

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