Stucan Analytics has developed a weapon and tactics training collection and analytical tool called Smart-Shooter Intelligent Enhancement Trainer (SiET).

Stucan Analytics has developed a weapon and tactics training collection and analytical tool called Smart-Shooter Intelligent Enhancement Trainer (SiET) which reviews data and analyses it rapidly to provide immediate feedback for the user and long-term exploitation benefits for decision makers. It also continues to demonstrate how emerging technologies can be fused with existing equipment and novel capture technologies to prototype Data Science/Machine Learning approaches to training.

What is the Problem we are trying to Solve?

Stucan Analytics personnel have been involved, near continuously, in Dismounted Combat Capability (DCC) research.  It looks at DCC capability issues from doctrine to weapon mix, to load and load carriage, and most specifically at lethal performance of systems in the hands of users.  This work utilized a then ground-breaking mix of small arms targetry and re-purposed in-service Live Simulation equipment to match individual and teams’ firing activity to target effect. 

It proved unequivocally that, in a realistic, stressor rich, live fire tactical setting, weapon performance in the hands of users were many times worse than had been previously assumed, dramatically worse than that achieved in capstone marksmanship training activities.  This work had an immediate impact on weapons mix decisions within the militaries and infantries.

Stucan Analytics have maintained an interest in this area and recently showed that we could significantly improve training insights through engagement with USMC, U.S. Army, and British MOD. SiET demonstrated ways to better inform personalized training for individuals and acts as a catalyst for more advanced data-science methods to predict future performance.  Working in partnership with Defense organizations we can assist the modernization in which dismounted lethality skills are delivered and assessed.

The Solution

Developing a performance enhancement solution called the Smart-Shooter Intelligent Enhancement Trainer (SiET).  The resulting system will enable us to capture firing and hit data at scale and rapidly interpret them through analytics, resulting in rapid feedback for the user and long-term exploitation for decision makers.  We believe that it provides a novel dimension, as it:

• Employs innovative solutions to bring effective training and evaluation capabilities into previously inaccessible performance areas for DCC users;
• Integrates and fuses data from, and between, a dynamic framework of distributed training and experimentation systems;
• Captures and exploits lethality performance information during training, thereby leveraging an increasingly scarce and disproportionately important training activity to its maximum extent.
• Manages individual proficiency within the context of inherently broad marksmanship experiences, and all in the context of team and collective performance outputs.

Outcomes

Better understanding of Performance – SiET approach will give Defence a true understanding of its dismounted lethality performance.

Individual feedback – Individuals will be provided with a deeper understanding of marksmanship performance throughout the entire, including provision of innovative feedback during Live Fire Tactical Training – something which is not currently available.

Linking individual and collective training – The conventional training approach has been split between individual and collective training establishments and is predominantly assessed on a Pass or Fail or outcome basis. It has little capability to make holistic performance assessments. Infantry Companies (the lowest organizational level which can be classed as ‘combined’) currently have no means to measure how well they have integrated and delivered lethal effects as a ‘team of teams’. This understanding is particularly important as higher echelon live firing reduced frequency of without an effective means of quantifying or managing this risk.  We believe SiET can begin to solve this problem.

Digitizing Skill at Arms – Finally, the majority of the performance data that is recorded (i.e. shooting record cards, training attendance, tactics courses), remains paper based and inconsistently recorded, this leads to data loss or missed, wider exploitation opportunities.