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M3 Edge Vision AI

Vision AI & Edge Inference

Deploy vision AI models on reComputer Jetson, reCamera for real-time edge inference.

Vision AI & Edge Inference Illustration

What This Module Solves

Edge vision AI gives devices the ability to see.

Difficulty Advanced 1.5 Days 4 audience groups

Typical Scenarios

Emergency Rescue Outdoor Exploration & Event Support Underground Space Communication Field Research

Core Hardware

  • Mission Pack
  • Meshtastic Terminal
  • LoRa Module

Key Capabilities

  • Mesh Relay Planning
  • Meshtastic Networking & Monitoring
  • LoRa Off-Grid Communication
  • Node-RED Automation Integration

Three-tier Progression: Demo → Consultant → Design

L1 · 展示层 1 days

Device & Relay Planning

Demo Level · Single-Point Experience

  • Master Basic Device Operation
  • Plan Mesh Relays
  • Solve Communication Dead Zones in Complex Environments
L2 · 顾问层 1 days

Network Monitoring & Linking

Advisory · Scenario Automation

  • Monitor Mesh Network Anomalies & Location Data
  • Orchestrate with Low-Code Platform
  • Implement Automated Linking
L3 · 设计层 1 days

Off-Grid Sensor Devices

Design Level · Business Integration

  • Integrate External Sensors / Custom Devices into Mesh
  • Design & Build Off-Grid Sensing Devices
  • Build Decentralized Network

What You Take Away

Not a pile of demos, but deliverables that can be lit up on-site, validated by clients, and replicated by teams.

  • Mesh Relay Planning & Dead Zone Coverage
  • Automated Linking of Network Anomalies & Location Data
  • Custom Off-Grid Sensing Device

Who This Course Is For

Emergency Communication Team Outdoor Event Support Field Research Public Safety Integrators

Course Combinations Including This Module

M3 Vision AI & Edge Inference

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