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Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- nVision Technology Inc.
- Proposal award date
- 2020-11-16
- Contract end date
- 2022-07-11
- UEI
- WWJNEYMEJVB8
- Solicitation number
- 19.2
- Topic code
- A19-106
Research abstract
The primary objective is to is to develop a collaborative fire control decision aid – referred to as Centralized Fire Control Software (CFCS) - that will aggregate the data from end-users to a server on the network, utilize those data to compute the optimal engagements for each enemy, then push the results back to the individuals on the network. The result would be that Soldiers’ status is pulled from the very devices that they’re using to engage targets (e.g. laser rangefinders) and pushed to a central location for processing & viewing, providing the chain of command with unmatched situational awareness, without requiring any further inputs from the soldier. This organic integration with fire control devices will enhance soldier lethality by minimizing the time from enemy detection to engagement by the best-positioned friendly asset. One of the central capabilities to this approach is using a technique known as Weapon Employment Zone (WEZ) analysis to compute the expected probability of hit for a shooter on a target, based upon the shooter’s weapon, the current atmospheric conditions, the target’s dimensions and movement. WEZ has been used heavily by SOCOM, the Army, and DHS to assess the effect of different parameters on the expected performance of small arms weapons, even being used in Afghanistan to determine enemy standoff distances. When calculated for each friendly against each enemy in the centralized database, this can be utilized as an objective measure of which friendly should be engaging which enemy. One innovation for the CFCS is that this WEZ technique can be utilized in both directions of an engagement. If the enemy information includes the weaponry that the enemy possesses, nVision will utilize WEZ to compute the probability that an enemy can hit each of the friendly assets. This provides Soldiers and leaders with an objective measure of which enemy poses the greatest threat to any friendly and the leader can re-task his team members accordingly.
Technology keywords
Not reported
Other awards by this recipient
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Awards with the same topic code
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Research funding history
15 SBIR/STTR records share this UEI (2013–2025). Reported award amounts total $6,506,984. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense
Agency intelligence
Department of Defense
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