Our project is to build a Head Unit Computer for our project sponsor, Canadian Electric Vehicles (CanEV). Intended to drop into an existing CanEV Might-E Truck, our Head Unit will be a touchscreen powered by a Raspberry Pi 4B with Bluetooth and CAN bus connectivity. The CAN bus network device is configured to command a 12 volt Power Delivery Module (For powering on-board accessories such as lights and a hydraulic ram) and to interpret error codes and operating data sent from this and other internal devices.

Our team is focused on making robotic parts that can be directly used in a robot without any need for assistance. We aim to help people who are curious about machine learning and do not know where to start from. We are developing a Wireless Robot Hand. This 3D printed hand is controlled by anyone wearing a glove equipped with flex sensors that wirelessly transmit signals through an NRF240I module to operate the servo motors in the 3D hand.

We at JDKW Innovations have chosen to design an electric bike for our 2021 Capstone Project. The rising rate of CO2 emissions into the atmosphere is now becoming a world-wide crisis. As a response, JDKW’s vision is to design and create an electric bike that is affordable, safe, reliable, and a CO2 free mode of transportation. The JDKW designed Sprinter F21-B is the first electric bike prototype in our lineup.

The LMS101 is a semi-modular synthesizer that features an analog wavefolding oscillator and a 25-key touch keyboard. We designed this instrument with ergonomic controls that allow its users to tweak the synthesizer’s sounds and textures on-the-fly. Additionally, Eurorack I/O jacks offer more configuration options and integration with compatible instruments. The LMS101 not only makes a great stand-alone instrument for beginners but also creates a unique and flexible sound when used in larger musical arrangements.

We at MADKAT Vision have set our sights on aerial photogrammetry for our 2021 capstone project. MADKAT Vision’s goal is to produce a modular and user-friendly quad-copter drone at a competitive cost, configured for photogrammetry. Our drone will allow anyone to look at an object virtually, while maintaining the freedom of a realistic experience. So far, we have already assembled, and are in the process of testing, the first drone in our series, the PANTHER I. This drone has been custom-built to carry a high-definition camera for extended periods of time, enabling an operator to capture every angle of a subject all in one go. With the PANTHER I, the sky is the limit, capturing 3D-images and implementing them in the virtual world will be easy and accessible to everyone.

Our team’s vision is to provide environmentally-conscious and cost-effective options for improving backup energy storage. The Photopod is a ‘micro' power-converter that will convert low-voltage direct current (DC) from a solar panel to high-voltage DC to charge an electric vehicle battery. Our product will include maximum power point tracking to improve efficiency and utilize a flyback converter to reach the required output voltage. The micro converter is contained in a waterproof, corrosion-resistant housing intended for use in residential, recreational, and marine environments.

Surveilia is an autonomous drone that patrols areas on designated flight paths. It is capable of detecting and reporting humans as feedback to ground station software, as well as acquiring flight data for records and graphical display. Surveilia uses OpenCV for computer vision and ArduPilot flight automation. Onboard is a Raspberry Pi Compute Module 4 (CM4) and a Kakute F7 V1.5 Flight Controller. The CM4 is responsible for relaying data back to the ground station, while the F7 is responsible for autonomous flight and control.