Accelerate: The Training Issue
Accelerate: The Training Issue
ACCELERATE
Welcome to the latest issue of Accelerate, a magazine highlighting developments in security screening solutions. This issue is focused on training.
Training personnel to detect contraband, deter threats or screen spectators requires an increasingly higher level of preparation and sophistication. This issue explores how to prepare your workforce with the skills and knowledge to succeed.
The secret sauce to effective training is deploying real-world scenarios and information, delivered by trainers with hands-on operational experience. Being a talented trainer is not enough. Trainers should speak the same language and use real information. The result? High-performing personnel who make smarter, faster decisions. For a closer look at successful training methods, read “Is Your Team Ready To Drive?” on p. 4.
Training with experienced trainers and real information supports the skills of your personnel. S2 University’s Smuggling Trends Map (p. 14) provides a window into what highly trained personnel are finding and stopping at borders.
Progress in the use of Augmented Reality (AR) and Virtual Reality (VR) as immersive training tools is enabling students to dive deeply into multidimensional imagery to get comfortable with technology and be better prepared with critical skill levels at their position. See “What Lies Ahead” on p. 16.
Enjoy Accelerate!
Outsmarting Smugglers: Contraband detection in the era of AI
AI is transforming smuggling detection by predicting high-risk shipments through analysis of various textual data. The emerging frontier is image-recognition algorithms trained on thousands of X-ray images annotated by experts. As smuggling techniques get more sophisticated, so too must our methods of detection.
S2 University’s Global Smuggling Trends Report
Take a look at the S2U website’s special feature, Global Smuggling Trends Report . This interacti...
Border Security – Scanning And Threat Detection – The Path To Ai
AI’s success should be built upon a solid foundation of appropriate inputs, including a significant body of scanned images and the appropriate algorithms to guide machine learning towards reasonable, accurate outcomes.
