I'm Forester King,
an electronic engineer who reaches for the stars

As a personal IOT project I have recently created a RC car that streams a low latency video to website. The RC truck is also fully controlled via a website. It uses a Raspberry Pi as its controller, a servo motor to steer, and a 12V PWM controlled DC motor for driving. I also created a Raspberry Pi hat PCB for this in Altium Designer to act as a refresher. Project Link.

At my last job I was the sole R&D department, and I created a low-cost sound logger that would send real time updates of high precision sound data to a server, which was able to be viewed remotely via a user-friendly GUI. The sound logger was weather resilient and used a battery pack and solar panel for its power supply. I presented this device to the whole company at the 40th year anniversary and it was well received.

I designed and programmed an embedded system to collect data from multiple environmental sensors and modules to determine rider comfort in a vehicle. Key aspects of this project were: using I2C and CAN wire harnesses, programming an ESP32 in C, PCB design, and integrating the embedded system to effectively communicate with a separate Linux based platform. Project Link.

Our group developed a ‘Wacky Racer’ which is a remotely controlled vehicle that used surface mount PCBs and fly by wire technology to control the vehicle.
From processing-unit, to programming, to chassis, all aspects of our wacky racer were custom made. The controller was located in the user's hat and would control the car via head movements.

For my Computer Vision course, I developed a realtime program to detect student focus and fatigue using AI deep learning. The AI operates on a local GTX970 graphics card and does not require special hardware. Built with PyTorch and the YOLOv5 object detection algorithm, the model was trained on labelled images of focused and fatigued states, including posture and yawning. Project Link.

For my fourth-year robotics project, my teammate and I programmed a UR5 robotic arm to autonomously make espresso coffee. The project involved applying key robotics concepts such as inverse kinematics and spatial transformations to control the arm’s movement and interaction with various tools. Project Link.

Alex Delyagin and I designed, built, tested and deployed an analogue control system that ensured a Go-Kart motor would deliver a safe amount of power for a demanded acceleration. This was achieved via a Fixed Frequency Current Mode Controller (FFCMC). My peers raced against one another to determine who had the fastest lap time, and thereby the most efficient circuit.

For my nanotechnology course, we created a photovoltaic cell, learning the fabrication process and the challenges of manufacturing solar cells. Our group successfully produced a working solar cell, though with low efficiency (0.75%) due to issues such as insulation defects and contamination. The project provided hands-on experience with key fabrication steps and equipment, and reinforced the importance of improved cleanroom standards.