Grants and Contributions

Chartis RSS is planning to develop a multiple modality Detect and Avoid system that will incorporate both a short and long range intruder detection system incorporating Camera, Radar ADS-B and Machine learning to ensure operational integrity and regulatory compliance. This solution will complete a system for remote inspections of infrastructure and assets minimizing the carbon footprint of maintenance, security and safety.

Revolutionizing Youth Sports Registration, this project will enable advancements to create a robust, yet seamlessly self-provisioning engine and management system for effortless participant, team, coach and volunteer registration and management.

Engage an engineer to redesign an existing crematorium and bring it into compliance with CSA 149.3. Secondly for a contractor to produce a operations and maintenance manual allow testing to be performed to prove the design.

The firm wants to develop a new rearing line better suited to the more dynamic rearing conditions that characterize its rearing sites, with the aim of taking advantage of sites more exposed to prevailing winds, while seeking to mechanize its production activities. The project aims to develop a new, more stable buoy and evaluate the various production parameters in order to conceptualize the rearing equipment that will make up the new rearing system and the pieces of equipment that will be used to operate it.

Development of a analytics platform to deliver community risk assessments (CRAs) to that identify, prioritize, and define fire service risks, capabilities and characteristics.

This project is a dedicated technical effort to assure a minimum level of image quality for lung ultrasound images that are to be subjected to a computer vision machine learning solution. This project - by creating a pre-processing, image analysis solution - provides an essential quality step in a pathway to assure that images subjected to already developed lung ultrasound image classifiers contain the necessary anatomic elements and are composed in such a fashion as to optimize the accuracy of the downstream machine learning model.

The present project aims to implement artificial intelligence and natural language processing in order to improve and accelerate in-depth literature review process needed when starting to work with a new client on a drug discovery project.

Deploy MVP mobile app to test clients and collect feedback for product refinement. Also develop a commercialization plan based upon market response to application.

This shrimp hatchery project involves breeding and raising shrimp from eggs to post-larvae stage, with the aim of producing high-quality shrimp for sale to shrimp farmers. It requires a well-equipped hatchery facility, high-quality broodstock, careful monitoring of water quality, temperature, and feeding, and expertise in shrimp biology and cultivation. Success depends on factors such as disease control measures and availability of suitable feed and equipment. A successful project can offer significant economic benefits, including job creation, increased shrimp production, and improved food security.

Our goal is to create a new composite system that has superior properties and that is compatible with our unique manufacturing process. This will enable us to develop new and innovative aerospace products that can be manufactured at a lower cost.