'ioView ('io, pronounced "ee-oh") is an end-to-end disaster assessment platform.

‘ioView ingests imagery or video data taken of affected areas and uses computer vision AI to quickly identify damaged infrastructure over large areas. That data can then be used to position or redirect recovery personnel and resources to the most critical areas, saving time, effort, and potentially lives.

Input Sources

UAV Drone Footage

Fixed Wing

Mobile Phone

Dashcam

How it works

Footage is analyzed by Machine Learning algorithms that have been trained to identify objects such as downed electricity poles.

'ioView assesses whether objects are within their standard operating parameters.

Input data is tagged with locational information, allowing recovery crews to pinpoint specific locations of infrastructure damage over a large range of affected areas.

The platform is flexible and allows for human interaction, cross-checking of data, and manual/mobile app data entry.

With 'ioView acting as real-time support, human crews can much more efficiently allocate resources and position personnel, getting communities on the road to recovery sooner.

Impact Areas

When a disaster-stricken area loses electricity, every moment counts. Populations without power are immediately vulnerable, especially when it comes to:

  • Food Safety – According to the CDC, if a refrigerator or freezer’s power is out for more than 4 hours, perishable food may become dangerous
  • Drinking Water – Without power, purification systems become compromised, and water-borne illnesses can spread
  • Medication – Many drugs require refrigeration to maintain efficacy, and the chronically ill are disproportionately affected when the power goes out
  • Extreme Temperatures – The risk of heat exhaustion and hypothermia rises dramatically without electric cooling or heating systems
  • Mental Health – in studies conducted in the aftermath of Hurricane Sandy in 2012, scientists found that just two weeks without power had negative mental health effects for up to a year later

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