Question: Facebook has used its AI tools to identify human-made structures in how many countries?
Answer: 20 – They use artificial intelligence software to scan satellite imagery and identify human-built structures
The world’s biggest social network “Facebook” has announced that it has been using artificial intelligence software to scan satellite imagery to identify human-build structures, sometimes as small as a tent.
The hopes are to be able to use this information to determine where internet-beaming drones will best be deployed, however a few other companies have expressed their interests in these maps.
Some experts are raising concerns, saying that – Although this can be seen as a technical innovation, there are some concerns about the public policy issues.
Facebook has said that it has already analysed 14.6 billion satellite images covering 20 different countries which has resulted in a staggering 350TB of data!
Facebook went on to add that the task had not been without problems.
“While recognising structures in aerial imagery is a popular task in computer vision, scaling it to a global level came with additional difficulty.”
“Aside from processing billions of images, finding buildings with high fidelity in rural areas is really a needle-in-a-haystack problem.”
“Typically, more than 99% of the landmass we analyse does not contain any human-made structure, and it therefore poses a challenge for the machine learning algorithms to learn from such an unbalanced data set.”
Eventually, Facebook intends to use the maps connect more people to the internet through the use of these drones. The drones can extend internet signals beyond cities by using lasers beamed by the aircraft. The drones will use sunlight to power engines and internet equipment, and then send data from the ground between drones and then send internet signals to other users on Earth.
This is overall very interesting to me. When I was in school, I wrote a report on the Google Maps. I researched into whether people thought that it was an invasion of privacy, and the results were surprisingly split.
Now that we have companies wanting to go into further detail it will be interesting to find out how people feel, and where the limit is.
Let us know what you think below.