BeeScanning: saving bees thanks to the iPhone and artificial intelligence

We cannot deny that smartphones do unimaginable things, from saving lives to turning your iPhone into a mini Macintosh. Everything varies according to the creativity of users / developers to solve the most varied problems of day-to-day using machine learning.

The swedish Bjrn Lagerman, with the help of a team of researchers and engineers, is building the BeeScanning (“Bee Scanner”), an application for beekeepers that can be a great and inexpensive tool. Using the iPhone alone, the app applies a more intelligent view to smartphone photos, alerting beekeepers when there are germs in their bee colonies. To better understand how it works, check out the video in practice:

Germs are a big nightmare for bees and their keepers; the ladies literally suck their lives, destroying entire colonies and causing great damage to beekeepers. The way to protect yourself through continuous monitoring of bees and, when the problem is detected early, salvation is possible. However, traditional methods are expensive and time-consuming. in this problem that BeeScanning comes into play; the expensive ones strongly contrast the red color on the back of the bees and, through the iPhone camera and an object recognition algorithm, quickly check the “lots” of bees that have the germs.

BeeScanning

Taking into account the machine learning used in the app, the group responsible for its development is in the process of collecting 40,000 images of 10,000 bee colonies around the world being a very important process to “train” the images. The idea of ​​BeeScanning is to provide a quick test to check germs and become a great tool for beekeepers, students and the entire research community.

BeeScanning has been launched as a Kickstarter and is looking to raise the necessary funding to put the service on the market. The initial amount collected will be for the creation of the application database due to machine learning, one of the most important points for proper functioning. Lagerman is confident that the project will receive the necessary support mainly from research institutions and in time to be completed later this year.

For more information, visit the official website of the project and its page on Kickstarter.

(via TechCrunch)