EyeFox detects and identifies hidden threats. Our solution employs deep learning computer vision to the screening process for automatic threat detection.
Also, it creates a centralised image processing network whose value increases exponentially as it develops, learns, and improves with data aggregation
AI systems replicate the capabilities of the human mind.
These advanced algorithms can sort large amounts of visual data, which in the security X-ray screening realm make decisions on whether to reject or clear a passenger bag in the presence of a detected threat item.
Machine learning plays a key role in the AI technology we use, where a computer system is fed large amounts of data, which it then uses to learn how to carry out a specific task.
A subfield of machine learning is deep learning, where neural networks are expanded into sprawling networks with a huge number of layers that are trained using massive amounts of data.
It is these deep neural networks that have fueled the current leap forward in the ability of computers to carry out tasks like computer vision.