EM Verification of Onboard Smoke Detection Model and Algorithms

In P2-38, simulated imagery and a low-cost emulation system were utilized to replicate HyperScout 2 AI onboard processing for fire smoke detection. This project aims to adjust and test all onboard imagery processing tasks, developed as part of P2-38, and verify them for their error-proof deployment on the Kanyini/HyperScout 2 system. Project activities include functional and performance verifications on four systems – (a) Virtual System, (b) Emulation system, (c) Distributed FlatSat system and (d) FlatSat system with EM. Expected outcomes are adjusted CPU and VPU scripts for onboard fire smoke detection that will have been systematically tested to run successfully onboard of Kanyini, ensuring that all onboard function is working correctly under all possible configurations, scenarios and constraints.

P2.61

Project Leader:
Dr Stefan Peters, The University of South Australia

Participants: