Recently I wrote about a fascinating use of AI to analyze images undertaken by researchers from University College London. They have worked with the shipping industry to try and speed up the process by which containers are checked as they flow through ports.
As with medical imaging, each container is currently scanned by an x-ray machine, with that image then checked by humans for suspicious items. It’s estimated that each container takes around ten minutes to check by a human, but the automated approach developed by UCL can do it in just 3.5 seconds.
The algorithm was trained on a few hundred thousand scans generated by a company called Rapiscan, with the process documented in a recently published paper by the team.
When the algorithm was put through its paces, it managed to spot 90% of the items that were hidden in the images, with just 6/100 false positives given by the system, with a bit of fine tuning reducing this to 1/100.