We believe that the object detection and analytics method can be used for processing Kirlian images for their characteristics as another stage of GBT/Tokenize’s Kirlian Electrophotography research.

The algorithm learns to spot these movements by studying past footage of individuals, and the result is a tool that’s at least 92 percent accurate at spotting several different types of deepfakes.

We are going to invest significant efforts to develop real-time object detection and pattern recognition methods to reach our goal, which is a speed lightning, real time analysis.