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.

Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...

It classifies object detection algorithms based on multimodal fusion of point clouds, images, and combinations of both. Furthermore, we analyze the strengths and weaknesses of various methods ...

What does it take for a rock as big as a dinosaur to slip by Earth at slightly more than half the way to the Moon? On September 3, asteroid 2025 QD8 will provide a spectacular demonstration, whizzing ...

DHS S&T Awards Funds to Birmingham, Ala., Startup Developing Object Detection and Tracking Algorithms for Securing Soft Targets By Homeland Security Today June 15, 2023 ...

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...

--GBT Technologies Inc., together with GBT Tokenize Corp is developing real time algorithms and techniques for Kirlian research. A Kirilian image includes vast amount of graphical data. GBT ...