Page 19 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

In this use case, the designers combined the use of cameras to detect changes in smoke and
light to alert the potential fire in areas that have dense human activity, and satellite images for
remote areas with fewer human existence. The combination of the cameras paved the way for
responses of low latency and high accuracy, which guarantee the efficiency and effectiveness
of conservation efforts. Deployment of the cameras, by applying the knowledge of local
communities, e.g. determining specific areas that tend to have frequent fires, enhances the
accuracy of the model, and also brings in the local community, facilitating the conversation
among stakeholders and the implementation of the project.

It is also noteworthy that the project's fire prevention efforts help safeguard jobs and economic
activities related to forestry, agriculture, and tourism. In the background of Brazil, forest fire
greatly impacts the performance of the powerlines. Once a forest fire is detected, for the sake
of safety, the electricity companies should cut off the power in case of detrimental emergencies.
Yet the cut-off is closely related to the key performance indicators (KPI) of the company, which
implies that the more times the fire happens, the lower KPIs companies gain, and the higher
loss of the amount of money.

With the help of this prevention and prediction model, not only the environment could be
protected, but also the local community could be empowered.

Fig 5 - Instances of Readiness Factors in Case Study-4

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