Grants and Contributions

This project will upgrade the current 3D-TRUBI prototype by implementing an advanced transcranial imaging mode to improve real-time imaging performance and spatial resolution.

We have built a wrist worn device to improve sleep quality and quantity. This device uses several sensors to accurately, in real time detect sleep stages and help the user naturally obtain better sleep. The goal of this project is to ensure the prototypes meet all requirements for clinical trials. This will include improving device noise performance, improving device stimulation accuracy, enabling OTA updates, developing software to detect changes in delta waves and ensuring enclosure is compliant with IP65.

This project aims to develop and validate a novel matrix ultrasonic probe for inspecting composite structures used in modern eVTOL aircraft. Integrated into a portable inspection system and supported by machine learning–based automated analysis, the solution will improve inspection speed, defect detection accuracy, and operational reliability compared to conventional ultrasonic methods.

This project will test hypotheses and experiment with new mechanisms to design (or optimize) a repeatable and scalable business process, which may result in new business methods for Ultrasound NDT equipment for metal joints.

Design, build and test a system for inspection of one-sided welds.

Participation in the Canadian advanced manufacturing technology co-innovation mission to the Eureka Global Innovation Summit at Hannover Messe (Germany) – March 30 to April 4, 2025. Delegation led by the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) to develop international partnerships and potential project ideas under the Eureka Programs.

As part of the international consortium project [AI4PE], this project will focus on the development of an ultrasonic method and algorithms based on artificial intelligence for nondestructive evaluation of electrofusion joints in construction of gas and water polyethylene pipelines, resulting in the design of a prototype device for practical use in field condition.

Canada-Germany 3+2 SSQC with IconPro, Aachen University and Ford (Germany) and NRC and the University of Waterloo (Canada). The main focus of this international project will be to develop a set of ultrasound-based monitoring and artificial intelligence (AI) processing systems for each of resistance spot welding (RSW) and laser brazing (LBW). These systems will rely on real-time automated ultrasonic inspection, which requires the design and development of new single-element or phased array probes for monitoring each joining process. An AI system will automatically interpret the ultrasonic nondestructive evaluation (NDE) data in real time, thus we will develop high-speed high-performance inference models using cutting-edge deep learning techniques. These real-time process monitoring systems represent major steps towards zero-defect manufacturing, NDE 4.0, Ind. 4.0

The topic of this Project is focused on resistance spot welding (RSW) technology which plays a very important role in today’s sheet assembly industries, and automotive industry being one of its biggest users. Introduction of new metals and coating types as well as increased product quality assurance requirements have created big demand for real-time adaptive welding controllers capable of adjusting welding schedule to ensure acceptable quality of every joint.

Tessonics is in the final stages of releasing a new Cold Spray device. We are currently in process of completing the final production version of the hardware and we require additional help for the final release of the device. We plan to modify the prototype device with new portability of the device for field applications and development of the powder feeding system.