AI Detection a Threat to Job Security?
Wherever artificial intelligence is touted it arouses concern about job security and the misplacement of the human element. Photographers and editors are wary of AI in photo enhancement programs; doctors and radiologists imagine they will become redundant, and the same applies to security X-ray screeners. This of course is highly speculative. AI appears in our everyday lives in autocorrect functions; maps and navigation; social media, and even virtual booking travel systems. These functions, among the many, make our everyday routines much easier (well, perhaps not always autocorrect).
Artificial Intelligence is currently used extensively in airports from self-check-in kiosks to flight data analysis and all are designed to improve operational efficiency. AI processes information much faster than humans and therefore when it comes to analysis and recognition it makes perfect sense to use this technology in the security equipment technology in airport security. For the safety of the travelling public automated threat detection at the security checkpoint is an added layer of confidence that anyone passing through the checkpoint is “clean”. AI can identify threat items in sub-seconds, and it alerts the X-ray screener who makes the final decision. Given that X-ray screeners only see an image for about 3 seconds any AI detection happens in milliseconds and allows for a much better reaction time to the threat detection protocols to be initiated as well as speeding up the security screening process without sacrificing the operational integrity. A long and ever-growing prohibited items list makes screening a more complex task for screeners and the use of AI as a tool is highly effective.
AI detection is easily retrofitted to new or existing machines so there is seamless integration into the existing security equipment through the video signal output to the monitor without the need to make any modifications to the scanner.
Renful Premier Technologies’ EyeFox detects designated items in X-ray imagery by leveraging innovative Convolutional Neural Networks. Additionally, by continuously analyzing the system’s results, they improve the model and quickly adapt to new detection requirements. The EyeFox Detection system was developed by Neural Guard and the technology permits the detection of the designated items in CT and X-Ray Imagery by utilizing cutting-edge Artificial Intelligence.