For our capstone project, our team has built an automatic dog feeder system. During COVID-19 there has been a 30-70% increase in dog adoptions and fostering. Once pet owners return to normal life, there will be no one to care for their pets and feed them. We are creating a system called Canine Companion. This system allows pet owners to feed their dogs from anywhere by using a compatible app to control feeding times, feeding amounts, and interact with their dog using one-way communication.

For more information on our project, visit our website.

Many elderly individuals suffer from osteoarthritis on an annual basis. Oasis is an intelligent bracing solution to support patients suffering from osteoarthritis of the knee. Our active brace can dynamically provide varying levels of support when the user is performing daily activities such as walking or climbing stairs. As well, the brace can be adjusted to accommodate all types of knee osteoarthritis.

For more information on our project, visit our website.

Today, less than 10% of plastic waste in Canada is recycled and over 25% of potentially recyclable plastics are rendered non-recyclable by contamination. Green Refill Technologies has endeavoured to help alleviate this wastage through the design of a system to sustainably dispense personal hygiene and cleaning products using refillable containers. Our team has targeted a high-consumption product line with physical attributes that pose a challenge to non-specialized dispensing systems, allowing our environmentally-minded customers to reuse, rather than recycle.

For more information on our project, visit our website.

To combat the detrimental effects of bad posture, the Lobster monitors the user in their home-office desk environment. It uses the camera of a smartphone in a mobile app to take pictures of the user, and then sends these pictures to the back-end environment, where it runs our image processing algorithm. This algorithm identifies the sitting/standing position of the user and suggests appropriate corrections to improve their overall posture. Moreover, the app suggests the action of switching a desk between standing and sitting positions, based on the user’s posture. It can also physically move the office desk up and down if desired assuming they’re using the companion desk.

For more information on our project, visit our website.

The inflation of commercial real estate prices in recent years has led to billions of dollars being wasted every year by companies who underutilize their spaces. At Rheo, our goal is to design a solution that can track human movement patterns within a space whilst deriving powerful insights from this data to allow users and companies to make more informed business decisions. Your privacy is important to Rheo. Our sensors use anonymous data to accurately track user movement in spaces. That means that no Personally Identifiable Information is ever collected or stored. Rheo then uses this occupancy data to build usage patterns and recommendations are then it can be shown to users on our web interface where they have full control over how they want to view their data between real-time and historical views.

For more information on our project, visit our website.

iCross seeks to develop an automatic pedestrian detection system with the goals of reducing frequently touched surfaces and making crossing the street more accessible to all. iCross is comprised of a dual sensor system using thermal and pressure sensors to detect pedestrian presence. Upon detection, data fusion algorithms are used to determine the probability a detection is correct and the desired direction of travel for the pedestrian.

For more information on our project, visit our website.

Developing an attachment for powered wheelchairs that allows users with motor disabilities to control their wheelchair using their eye gaze. Cameras mounted on the wheelchair will unobtrusively determine where the user is looking using computer vision algorithms. Autonomous path-planning software converts this gaze direction into wheelchair inputs, and navigates the wheelchair to the target. Keeping safety of the user in mind, the attachment has obstacle avoidance depth-cameras to prevent collisions. Here at EyeMove, we are changing mobility in the blink of an eye!

For more information on our project, visit our website.