Agenda

Using Unmanned Drones For Delivering Critical Medical Supplies And Searching For Victims

When disaster strikes, one of the critical concerns is getting important relief goods such as medical supplies to those in need as swiftly as possible. However, when roads are unpassable, this becomes a tricky logistical challenge. Thus, the use of drones in delivering medical packages is nothing short of a brilliant idea. These drones can land in places that ground vehicles either cannot get to or take too long to reach. It can deliver life-saving treatment directly to the victims and at the same time give remote physicians eyes, ears and voice to instruct anyone on site.

Exploring Artificial Intelligence And Predictive Mapping In Disaster Risk Management

Software algorithms are progressively generating important insights on a variety of phenomena. These software programs have also become so advance that they seemingly imitate human intelligence, hence the appropriate namesake artificial intelligence (AI). AI has had tremendous impact in managing disasters and planning out relief operations. It could be utilized to potentially predicting earthquakes to quickening recovery and response times, flood occurrences and even patterns in climate. Humanitarian groups are now also using AI to speed up map creation by using machine learning in computer software to extract objects such as buildings and roads from aerial images.

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For years Google has warned users about natural disasters by incorporating alerts from government agencies like FEMA into apps like Maps and Search. Now, the company is making predictions of its own. As part of a partnership with the Central Water Commission of India, Google will now alert users in the country about impending floods. These predictions are being made using a combination of machine learning, rainfall records, and flood simulations. Such warnings are particularly important in India, where 20 percent of the world’s flood-related fatalities are estimated to occur.

Roundtable Discussion: Latest Innovative Technology For Disaster & Rescue Management

• Understanding Evacuation Patters with Big Data and Social Media Analytics
  
• Securing Communication Infrastructure During Major Disasters
  
• Predicting Bushfire Spread with Big Data Analytics and AI
  
• Autonomous Drones in Search and Rescue

How Disaster Teams Are Using Temperature-Controlled Autonomous Drone Delivery System To Deliver Critical Medical Supplies

Innovations In Cobots And Exoskeleton In Fighting Bushfires

Bounding up numerous flights of stairs when the elevator is out is punishing enough for our legs and lungs, but imagine having to do so while carrying heavy equipment needed to extinguish a blazing high-rise fire. Such a scenario has prompted specialist vehicle manufacturer Trigen Automotive to work with Singapore’s Civil Defence Force to develop Auberon, a purely mechanical exoskeleton designed to take the strain out of carrying emergency equipment up to tower-top fires. Trigen says that the breathing apparatus, hose lines, nozzles, power tools and more which often make up a firefighter’s emergency toolkit can all add up to 40 kg (90 lb) of back-punishing weight, particularly when having to climb flights of stairs in a burning tower. Such equipment becomes much less of a burden when mounted to the Auberon Pneumatic Exoskeleton’s specially-designed frame.

• Overview of recent incident on drones causing waterbombing to be grounded on bushfire rescue attempt
  
• Why drones can be dangerous in bushfire surrounding?
  
• What countermeasures can be done?
  

• Understand risks & consequences;
  
• Understand Capability Requirements;
  
• Enhance & Develop Capabilities;
  
• Foster Partnerships;
  
• Plan, coordinate capabilities and partnerships; Inform policy, investment & expectations;
  
• Establish effective governance, roles & responsibilities.
  

Case Study Of Red Cross Boosts Disaster-Prone Communities With Blockchain ‘Cash’

The technology allows slum dwellers and rural villagers with simple mobile phones to effectively create their own local currencies to bootstrap development.

How AI And Big Data Helps City Councils To Identify Earthquake Vulnerability In Cities And Prepare For Emergency Evacuation

Detecting seismic vulnerability in urban areas is critical. Identifying high-risk buildings can save lives and help prioritize retrofitting investments. However, sending large teams of surveyors into the field is time consuming and expensive. Instead, this case study leverages imagery from satellites and drones, and street-view images from 360° street cameras to identify homes that are a high risk for collapse during an earthquake. Digital elevation models from satellite imagery helped identify buildings located on steep slopes, which are at higher risk for mudslides. A combination of satellite and drone imagery helped identify rooftop material, suggesting underlying construction techniques which are more vulnerable to seismic activities. The availability of street-view imagery is unique, as it can be used to identify soft-story constructions which are vulnerable to seismic activities. This case study is a good example of how different physical factors of vulnerability can be extracted from various data sources and the unique capabilities of street-view imagery. The deep learning algorithm trained on the street-view imagery caught 85% of the buildings which were flagged by expert engineers as vulnerable.

How Virtual Reality Helps Train Fire Fighters In Handling Emergency Responses During Searing Bushfires

• How technology can be utilized in resilience process.
• How technology driven resilience can be used more effectively
• How technology can work with existing laws and regulations
• Harmony between regulations and human behavior.