Research has shown that by monitoring the vibration of the heart using a simple sensor mounting on the human chest, the mechanical characteristics of heart can be measured. The purpose of this research is to design software that can automatically find some important points on the SCG signal. The software will be used to find […]

Today, electronics manufacturing is one of the world’s largest industries, and it continues to expand with the advent of consumer electronics, from smartphones, wearables, electric vehicles, etc. With Industry 4.0 technologies, electronics manufacturers can transform their production capabilities so that they can be more flexible and responsive to dynamic market forces, and smart electronic factories […]

Disease and death of blueberry plants caused by Blueberry Scorch Virus (BlScV) is a major problem in Blueberry farms of British Columbia, a key sector of the local agricultural economy. Correct diagnosis is instrumental to separate from non-lethal Shock Virus as BlScV-infected plants should be removed to reduced spread to other plants. In recent years, […]

An embedded electronic system with GPS and GSM modules and a unique power supply will be developed for installation on a bike frame which cannot be tampered with. The system will allow the owner to receive notifications of a theft and to track the bike’s movement and location. This information can be passed to the […]

The goal for this project is to support the research of three master’s students whose work would help advance the methods for estimating – using energy-economy-emissions models – the likely emissions, economic and equity impacts of GHG-reducing policies by governments at three levels in Canada: federal, provincial-territorial, municipal. The modelling innovations and applications from these […]

Using a collective impact approach, Hey Neighbour Collective (HNC) brings together housing providers, non-profits, researchers, local and regional governments, housing associations and health authorities. Together with residents of multi-unit housing, our mission is to experiment with and learn about ways of alleviating loneliness and social isolation while building capacity for neighbourly support and mutual aid. […]

Humans ingest over 50,0000 microplastic-particles every year. The main contributor to microplastic contamination is synthetic-fiber. One lo laundry load can release an average of 700,000 microplastic fibers. Wastewater treatment plants cannot catch all these microfibers, so they end in the oceans. New regulations, which require washing machine manufactures to implement microfiber filtration system are going […]

In Canada, climate change is altering local environmental patterns, damaging built infrastructure, causing acute injuries during natural catastrophes, and leading to chronic health issues. Rural and remote island and coastal communities have been disproportionately impacted by climate change and climate events. As such, climate scientists globally have been calling for climate change planning efforts and […]

The alarming increase in the scale at which infectious diseases spread and devastate global socioeconomics necessitates timely characterization of the disease-causing agent to devise effective intervention strategies to stop the spread of disease at the source of introduction. It is known that domestic and wild animals play significant roles in the transmission of pathogens to […]

VisionBox Inc aims to make farming amiable by providing farmers with easy-to-use technologies to focus on agriculture without worrying about threats from disease or bugs in the farm. We are making an AI application for the farmer to detect all the threats in a traditional farm or greenhouse. VISIONARY FARM is a platform showing a […]

This project’s objective is to show the utility of data from passenger cars in developing semi and fully automated driving. The challenge at hand is designing and developing artificial intelligence that can accurately and efficiently filter the most critical driving scenarios detected in a fleet.

In this project, we investigate deep-learning-based artificial intelligence technologies for automated in-process part inspection for advanced manufacturing. We will experiment with state-of-the-art computer vision and machine learning technologies, applied to a camera capture of a manufactured product part while the part is being made. In this way, product defects can be detected early, saving time […]