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demonstrate a factory floor visual inspection Use Case with hard hat and facemask detection using static transport slicing.

Leverage the existing 5G SBP using lab hosted @kaloom Montreal using Free5GC + ONAP + EMCO + Kaloom Fabric, UPF and vRouter with network slicing + GenXComm RAN + IBM visual inspection models and AI software running on Nvidia T4 GPUs + Aarna AMCOP + A10 FW

Problem Statement: Ensure safety on a factory floor

Solution: Automated end-to-end solution with AI that detects and alerts when hard hat and/or facemask is not being worn by an individual.

Users Stories

• Worker A enters an area of the factory floor where hard hats are required. Worker A IS wearing a hard hat. The system detects that Worker A IS wearing a hard hat and responds with action A.
• Worker B enters an area of the factory floor where hard hats are required. Worker B is NOT wearing a hard hat. The system detects that Worker B is NOT wearing a hard hat and responds with action B.
• Worker C enters an area of the factory floor where facemasks are required. Worker C IS wearing a facemask. The system detects that Worker C IS wearing a facemask and responds with action C.
• Worker D enters an area of the factory floor where facemasks are required. Worker D is NOT wearing a facemask. The system detects that Worker D is NOT wearing a facemask and responds with action D.

Mandatory Goals:

• Demonstrable Proof of Concept End to End system demonstrating:
  • Hard Hat detection
  • Facemask detection
  • Static Transport Slicing
• Video shot in the lab depicting mandatory goals above.
• Slideware
• Build Guide

Need to sort out which goals below are attainable, which are stretch, which are roadmap

Attainable/Stretch/Roadmap Goals (in addtion to above), prioritized:

1. "Live" demo at the ONE Summit venue. The blue box in the lower left in the below lab diagram is setup at the venue in Seattle and demonstrated live.
2. Massive IoT simulation. A massive IoT simulator (open source preferred) is used to demostrate scalability of the system.
3. Remote Attestation (Peraton Labs) - authenication of IoT devices (cameras).

Demo Storyline (optional)

Interaction with other open source projects and components

Links to existing documentation (Build Guide, Slideware, etc), if available (optional).

Image Added

Links to existing demo/video, if available (optional).

Links to existing code/repos, if available (optional).