iCMORE weapons delivers highly accurate automatic detection of guns, gun parts, ammunition and knives improving security levels and efficiency at checkpoints
•Increases security and efficiency
•Invaluable support for security operators
•Real-time detection with no need to stop conveyor
•Reduction of risk of human errors
•Supports risk-based screening and more automation at the checkpoint
•Little or no training required
Automatic Weapons Detection
iCMORE Weapons is part of the iCMORE family of smart and adaptable object recognition algorithms offering automatic detection of an ever-expanding list of dangerous, prohibited and contraband goods.
Detecting handguns (pistols, revolvers), gun parts, ammunition, as well as flick and fixed-blade knives (min. length ~6cm), iCMORE Weapons was developed for aviation and urban security checkpoints.
Deep learning is fundamental to artificial intelligence (AI) and Smiths Detection took this approach in developing iCMORE Weapons -collaborating with customers and security authorities to build a huge library of images from which the algorithm could ‘learn’.
This results in accurate, reliable and powerful detection, providing invaluable support for security operators, customs officers and other controlling authorities. The access to proprietary raw data enables real-time detection with no need to stop the conveyor as well as a high probability of detection and low false alarm rate.The additional detection capabilities provide invaluable support to all image analysts and are particularly helpful for less experienced operators. As AI algorithms do not tire and are impartial, they reduce the risk of human errors.
iCMOREWeapons delivers a high probability of detection and low false alarm rate -improving security, whilst also increasing efficiency and throughput.
Automatic object detection algorithms can also be used to implement differentiated risk-based screening approaches by switching them on or off based on the individual requirements of controlling authorities. Adding iCMOREWeapons does not affect any regulatory certifications or approvals and little or no training is required.
Intelligent object recognition algorithms could lead to a more automated screening process. Especially when combined with automatic explosives detection and risk-based screening approaches, they could enable alarm-only viewing of X-ray images at checkpoints. A concept which has been in use for hold baggage screening at airports for several years already. In addition to increasing security levels, this would also reduce operational expenditure and improve throughput.