Guest Blog: How edge computing aids in COVID-19 response

Easing exit strategies in the least disruptive way for society

As countries across the globe are scrambling to develop COVID-19 exit plans, government officials, citizens and experts remain uncertain as to what the best approach is when alleviating social distancing measures. On the whole, local governments and transit authorities will play a key role in developing policies that protect staff, citizens and core workers. This will require a huge amount of information and a careful balancing act between how stringent measures are being followed and what economic impact they have.

As countries enter the next phase of executing these plans, it’s essential that citizens step up to ensure that any voluntary guidance is adhered to, and that companies support government plans in easing social distancing in the least disruptive way to society. Decisions will need to be made quickly and precisely, adding pressure to an already precarious situation. Fortunately, edge computing can help accelerate the exit plan, providing long-lasting benefits to cities and municipalities along the way.

Overlaying edge computing to speed up response to COVID-19

Automotive and urban mobility companies with edge-computing applications are key players in speeding up the transition to a new normal post-COVID-19, particularly AI companies with cloud-point solutions. Predictive AI can aid in essential decision making, information gathering and measuring the impact of social distancing measures are of particular importance for municipalities. “Municipalities have a key advantage they’re not aware of when responding to coronavirus,” says Leslie Nooteboom, Co-Founder and Chief Product Officer at Humanising Autonomy. “Overlaying pre existing CCTV infrastructure with predictive AI software can provide fast, accurate insights into how society can safely return back to normal through temporary infrastructure improvements and public transportation route optimisation.”

Predictive AI is a core solution for municipalities

The process is fairly simple: existing infrastructure video data is fed through software to provide anonymised data around crowding and pedestrian flows. With substantial data points, these insights are fed back to municipalities, which can then determine to implement solutions that resolve the bottleneck. Data around crowded bus stops allow for more frequent operation in that area. High street sidewalks that do not cater properly for social distancing measures can be temporarily widened. COVID-19 has highlighted the critical importance of infrastructure and public space to our economies and societies, in which Humanising Autonomy intelligence allows for improved citizen mobility rather than surveillance and enforcement.

Supporting local government in the transition to the new normal

As industry pivots its solutions to aid federal and local governments in their response to COVID-19, promising solutions are surfacing. The infrastructure is already there: municipalities previously lacked resources to be able to analyse data, but are now  able to  leverage CCTV footage and new predictive AI, cloud point and edge computing  technologies to craft safe policy that will protect staff, citizens, and essential workers. . Though government plans are ambitious and rely heavily on voluntary cooperation from the public, new technology and innovation provides a great deal of hope and opportunity for collaboration to solve society’s emerging

  • Laura Foster

    Laura Foster

    Programme Manager | Technology and Innovation

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