Building an Image-classification Library for Deep-learning Algorithms
The purpose of BILDA is to improve the detection rate of the detection algorithm we use.
Until now, the detection rate has been too low for it to be possible to use only analyzes from the algorithm.
This means that a third party must manually verify data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images,
it is expected that the detection rate can be improved with up to 95% accuracy,
which will drastically reduce resources spent on manually verifying the data.
Lightwave Information System for Electronic Remote Assessment
The overall goal is to develop a system for robotic life cycle analysis and a new "best practice" for real estate development.
The idea is to develop a system that catches faults and deficiencies during a construction project, from start to remediation.
Using advanced drone and laser technology, we want to scan buildings throughout their life cycle to detect and document any deviations and deficiencies.
Our system eliminates the subjectivity of human observations and instead uses computer vision algorithms to offer a virtual network of experience and expertise.