NtechLab Learns to Identify People by Their Silhouettes

Russian startup NtechLab has developed a methodology to identify people by their silhouettes enabling their movements to be tracked down. The technology will be ready within 2 months, whereupon its testing will begin.

NtechLab CEO Alexander Minin reported on the new technology enabling people’s movements to be traced down by their silhouette using cameras installed in cities. It uses the same operation principle as the conventional facial recognition technology shifting the focus onto an individual’s figure. The know-how will be particularly effective in catching offenders who have left the scene of the crime: hiding their faces will no longer help them.

NtechLab representative also spoke about the hypothetical demand for the innovation in countries that have strict laws on personal data storage, such as the European countries. The main difficulty in creating the new know-how, according to the CEO, was to teach the system to understand images received from cameras with varying colour modes and resolutions.