Monitoring tailings in a GISTM-driven era
Canary Systems CEO Alex Neuwirt and ATC Williams CTO Kim Morrison discuss how real-time monitoring, scalable technologies, and cross-sector partnerships are driving a new era of accountability and resilience in tailings storage facilities.
AI in Mining
In October 2025, Canary Systems exhibited at the International Slope Stability in Mining Conference, where we joined many industry professionals attending to exchange views on best practices and state-of-the-art slope technologies. The presentation titled “Incorporation of AI learned numerical processing algorithms to improve risk management in surface mining operations” was presented as part of this workshop on October 26 in Vancouver, Canada. This recording of that presentation was prepared by Alex Neuwirt and focuses on the integration of AI in technologies and use cases.
Use of Machine Learning Technologies (ML) to Improve Risk Management in Mining
In 2025, we were honored to present our accepted abstract topic, “The Use of Machine Learning (ML) Technologies to Improve Risk Management in Mining.” Our presentation highlighted how machine-learning driven solutions can enhance risk assessment, streamline data management, and improve overall mine safety.
Geotechnical Radar Monitoring
Canary Systems prepared this course as a contribution to the Geotechnical Radar Monitoring program held by the Geotechnical Center of Excellence at the University of Arizona. Our part of the program concentrates on the integration of monitoring techniques and numerical models. We urge everyone interested in expanding their knowledge to enroll in the complete course
Tailings Dam Monitoring and Risk Management
In June 2019, we held a webinar that covered two methodologies typically employed in monitoring tailings dams/levees. This webinar outlined several methods for each type of monitoring and outlines their strengths and weaknesses including Satellite Radar (InSAR), Ground-Based Radar, In-Place Inclinometers, Shape Accelerometer Arrays, Settlement Sensors, Pressure Cells, Piezometers, GPS, Robotic Total Stations, Wire Extensometers, and Weirs.
The Rise of Big Data and Its Effect on Geotechnical and Structural Monitoring
This presentation by Alex Neuwirt from 2016 explores the emergence of Big Data and its impact on the geotechnical and structural monitoring industry.
News & Announcements
Canary Systems Featured in Engineering and Mining JournalMay 18, 2026 - 12:06 pm
Geotechnical Radar Monitoring CourseApril 23, 2026 - 10:25 am
See you at SME 2026!February 12, 2026 - 4:43 pm
Advisory Board Press ReleaseFebruary 2, 2026 - 1:04 pm
Slope Stability 2025 Workshop Recap & PresentationDecember 16, 2025 - 4:43 pm