Larus Technologies' research and engineering team has combined our real-world software engineering expertise with our leading research in computational intelligence to develop a number of innovative sensor networking and data fusion solutions for a wide range of markets, including health monitoring, asset tracking, environment monitoring, battle field surveillance, etc. Our R&E Team have successfully completed two NRC-IRAP projects in these areas and continues to conduct research with NRC-IRAP.

Larus Technologies’ Research & Engineering (R&E) team is available to work with commercial clients to enhance their existing applications or products with custom computational intelligence (CI) software components.

The R&E team works closely with the client team to identify innovative CI solutions for current and potential product markets.

Key Projects:

• Computational Intelligence Framework for Mobile Asset Tracking: A tracking system is typically evaluated by many factors, including tracking accuracy, operational cost and transmitting device power consumption. Directly working with a client’s mobile asset tracking system, the Larus R&E team optimized these factors through the use of a Larus CI engine that was trained and developed for real-world deployment.
• Hypertension State Classification using Nexus for Health Monitoring: A multi-source monitoring system must provide data analytic capabilities such as event classification, anomaly detection and state prediction. Directly working with a client’s personal health monitoring system, the Larus R&E team significantly improved these capabilities through the use of a Larus CI engine that was trained to provide real-time actionable intelligence to the interested parties.

For more information on R&E initiatives, contact us at This e-mail address is being protected from spambots. You need JavaScript enabled to view it