Professor John Murray John.Murray@hull.ac.uk
Professor of Robotics and Autonomous Systems
Adaptive Real-Time Scanning for novel detections of illicit items.
People Involved
Project Description
This project ustilises advances in Machine and Deep-Learning technologies to develop a robust adaptive real-time detection system capable of identifying illicit objects in packages. Without impacting on the processing of packages, the system is able to process X-Ray images of packages in real-time, providing a detection and recognition result for illicit objects within packages. The developed algorithm will function as an integral part of the scanning process, running along side the current flow of incoming packages and parcels, in real-time, thereby not impacting on the current capability or performance of the system.
The algorithm and system proposed is fully automated, providing accurate detection rates whilst also adaptable in that the system is able to learn and adapt to the changing landscape of items that might need detecting.
| Status | Project Complete |
|---|---|
| Funder(s) | Innovate UK |
| Value | £46,384.00 |
| Project Dates | May 13, 2019 - Aug 5, 2019 |
| Partner Organisations | 00 No Partners |
You might also like
SKYPERION - Autonomous and Intelligent UAV Detection May 1, 2018 - Oct 31, 2018
SKYPERION is an Unmanned Air Vehicle (UAV) detection system. UAV, sometimes called Drones, are readily available and can cause negative effects that range from a nuisance (invasion of privacy) to potential threat to life (proximity or collision with...
Read More about SKYPERION - Autonomous and Intelligent UAV Detection.
ProTEcTME: Proposal based exTEnsible Threat detection fraMEwork Apr 9, 2018 - Nov 30, 2019
The automatic identification and classification of single objects within an image representation of a scene, is in itself a challenging computer vision problem. Previous research has achieved good results in simple structured images. However, objects...
Read More about ProTEcTME: Proposal based exTEnsible Threat detection fraMEwork.