To make this website work, we log user data. By using Shephard's online services, you agree to our Privacy Policy, including cookie policy.

Open menu Search

DSEI 2023: 4GD to upgrade SimStriker smart target with generative AI and computational vision

15th September 2023 - 13:30 GMT | by Norbert Neumann in London


This integration of ChatGPT will help eliminate repetitive phrases and enable the company to create diverse personas for its smart targets. (Photo: 4GD)

Both the SimStriker enhancements involving computer vision and generative AI are currently in development, with some aspects already de-risked.

Immersive close combat training specialist 4GD is working to improve its humanoid, non-ballistic smart target called SimStriker with generative AI and computational vision.

Talking to Shephard at DSEI 2023 in London, James Crowley, business development director at 4GD, said the computer vision will allow the targets to see and identify objects and trainees further away and engage with them appropriately.

This means that a moving curtain, for instance, would not trigger a reaction from SimStriker, or it would react to a dog differently from a human soldier, Crowley said.

In terms of generative AI, 4GD has been working to implement

Already have an account? Log in

Want to keep reading this article?

Read this Article

Get access to this article with a Free Basic Account

  • Original curated content, daily across air, land and naval domains
  • 2 free stories per week
  • Personalised news alerts
  • Daily and weekly newsletters
Create account

Unlimited Access

Access to all our premium news as a Premium News 365 Member. Corporate subscriptions available.

  • Original curated content, daily across air, land and naval domains
  • 14-day free trial (cancel at any time)
  • Unlimited access to all published premium news
Start your free trial
Norbert Neumann


Norbert Neumann

Norbert is the Aviation, Military Training & Simulation reporter at Shephard Media. Before joining Shephard in …

Read full bio

Share to