AI-lab

AREAS IN FOCUS

AI

We explore and develop AI solutions that make a real impact. Here, we showcase research projects and how we help organizations optimize processes and enhance performance with AI.

Digitalization. Strikersoft has gathered all its AI projects and collaborations under one umbrella to promote the exchange of knowledge and develop new innovative solutions for our customers. Here you can read about the initiatives and hopefully get some inspiration on how AI can enhance your business. Don't hesitate to contact us for more information and discussions. ai@strikersoft.com

 

NeAIxt – Sensing for Rescue Misions

Strikersoft is one of the industrial partners in NeAIxt, a European collaborative initiative pushing the boundaries of intelligent sensing for mission‑critical applications. Together with KTH, IRnova, and other consortium members, we develop next‑generation AI‑enabled perception systems that improve safety, healthcare access, and emergency response. 

Learn more on the official project homepage

What we Develop

Remote detection of survivors using mmWave radar and IR sensors, designed to operate through clutter, smoke, vegetation, or partial occlusions.
Contactless vital‑sign monitoring (breathing, pulse) for emergency and clinical settings, enabling assessment of a person’s condition without physical contact.
Advanced DSP and ML pipelines optimized for edge execution, leveraging the SiLago platform from KTH.
High‑fidelity datasets combining radar, IR, audio, and synthetic environments through scalable rendering pipelines.

Expected Efficiency Gains:

  • Safer operations enabled by remote vital-sign assessment
  • Expanded coverage via scalable edge deployments
  • Reduced false positives and faster survivor detection

Updates

  • First offline meeting 
  • Project Kick-off

Cynergy4MIE for Edge AI 

Strikersoft is one of 39 organizations from 8 EU countries involved in the Cynergy4MIE project for Edge AI, an EU Research and Innovation project within the Chips Joint Undertaking (Chips JU). The project will last for three years. More information about Cynergy4MIE can be found here

Find out more on the official project homepage

Strikersoft is developing a HW millimeter wave radar solution and AI models to improve rescue mission efficiency: 

  • Survivor detection from a distance 
  • Contactless vital signs at a short distance

Updates

Usecases of survivor detection from a distance and contactless vital signs at a short distance

  

StorAIge

Storage is an EU-funded research project (Horizon 2020 programme) to develop "AI on the edge", i.e., give AI the opportunity to function at the end of the chain. There, demands are placed on local execution and low power consumption. It can, for example, be deep down in a mine where there is no coverage for data communications. Another example is the equipment used for self-monitoring in a patient, where there is a risk of power outages and interrupted communication during storms.

 In addition to Strikersoft, the other Swedish participants are Atlas Copco, KTH and Uppsala University.

Read more about StorAIge 

As part of the project, Strikersoft is developing AI models to investigate and diagnose:

  • Atrial fibrillation 
  • Congestive heart failure
  • Sepsis
StorAIge

 Updates 

  • Project's results meeting   
  • Download our PDF ECG interpretation on FPGA for Edge AI in the StorAIge project 2024 Overview. This document presents the development experience and results obtained within the StorAge project. One of the parts of the project was the development of an electrocardiogram (ECG) interpretation system on a field programmable gate array (FPGA) platform. This document refers specifically to that part of the StorAIge project, omitting everything that does not concern the magic of AI and its implementation on the FPGA 
  • Project start

 

 

Healthcare demos

Strikersoft has developed a number of demos to show how AI could be integrated into the healthcare processes in SwipeCare.

Heart failure AI
  •  

Clinical Decision Support for heart problems

Here is a demo of an AI-based prediction of potential coronary heart problems (Angiographic disease) based on XGBoost (eXtreme Gradient Boosting). XGBoost is a powerful and popular machine learning algorithm used for both regression and classification tasks. XGBoost uses a technique called gradient boosting that effectively combines multiple weak learning models, usually decision trees, to create a stronger and more robust model. The dataset comes from the Cleveland Heart Clinic, USA.

No shows

Another demo shows how a clinic could optimize visit bookings to minimize no-shows, i.e. the patient not showing up at their booked appointment. No-shows are a significant problem in healthcare, and some types of clinics have upwards of 20% - 25% no-shows.

 

Trends 

 

Master Thesis Reports

Three students from the Master's program in Health Informatics at Karolinska Institutet and Stockholm University have done their master's theses around AI at Strikersoft in the spring of 2023.

  • Predict Sleep Apnea patient treatment through Machine Learning
  • Map adverse drug reactions to patient-reported symptoms using AI
  • Improving XAI Explanations for Clinical Decision-Making - Physicians' Perspective on Making the Presentation of Local Explainers and Counterfactual Explanations More Useful in Healthcare
KI and SU

For more information about the Strikersoft AI Innovation Center or any of the projects, potential cooperations, or how AI can help improve your business, contact Fredrik Wångberg, Head of SAIIC, at fredrik.wangberg@strikersoft.com