Doorknob State Synthesizer and Network-Based Location Monitoring

As an optional personal project that aligned with my course study, I investigated the capabilities of human location tracking via network monitoring and utilizing computer vision in a home surveillance application. On a single host system, computer vision algorithms were used to analyze doorknobs and deadbolts in order to synthesize their locked/unlocked state while home network traffic was constantly analyzed to deduce what residents are currently home and the times that residents come/leave home. This collective information allows the owner of the system to know if there house was left unlocked and unattended in addition to which resident left the home in that state.


Log Number System General Purpose Processor

Designed and implemented the verification (using Verilog) of a general purpose processor that uses log number system (LNS) arithmetic rather than today’s standard of floating point arithmetic. The log number system arithmetic is much more efficient at multiplies than floating point arithmetic; while floating point is much more efficient at addition than LNS. This full post is coming soon to discuss more LNS, its use cases, and why it is important to investigate other forms of arithmetic.


Electrical and Computer Engineering Senior Project: LED-Based Camera Sensor

Currently developing a camera system that uses an LED matrix for light sensing and light emitting. That’s right… if you are unaware, LEDs can be used as light sensing devices. This is possible by two physics concepts present in semiconducting devices: the photoelectric effect and depletion layer capacitance build up. This full post will be coming soon, so stay tuned to learn more.


Smart Monitoring and Watering System for Plants

A connected system developed to monitor multiple parameters of a plant and its environment. That information gathered by the system is accessible to the user from anywhere with internet access.


Audio Frequency Spectrum Visualizer

A ‘desk toy scale’ implementation of a spectrum visualizer which decomposes an audio signal into its Fast Fourier Transform through software and uses hardware to visualize the FFT by driving multiple LEDs using pulse width modulation.