Trammell Montgomery & Team presenting Project

EVERY NEW PROJECT IS AN OPPORTUNITY TO LEARN

BeagleBone Board setup
CPU with sensor connected to it. The LCD display reads out the measurements.
Before Image of website redesign After image of website redesign
This website revamp focused on enhancing brand identity, improving user experience, and creating a sleek, modern design. The redesign streamlined the layout by removing clutter and non-essential information, ensuring that only the most impactful content remained. A consistent color scheme, typography, and visuals were implemented to strengthen brand recognition, while intuitive navigation and responsive design improved usability across devices. With a refined aesthetic and a focus on clarity and engagement, the new website effectively captures the brand’s essence and leaves a lasting impression on visitors.
Trammell Montgomery with Autobox

AutoBox: Smart Parking Solution

I partnered on a cross functional team of 4 engineers to design and implement a smart parking garage system using a Raspberry Pi, ultrasonic sensors, RFID, battery packs, solar panels and a custom PCB. Part of my job was to designed a custom PCB to integrate 6 electrical components and increase power management. We presented and demonstrated a fully functional prototype that accurately and efficiently monitored a parking garage occupancy up to 128gb worth of storage.

Real Time Handwriting Recognition

This project focuses on real-time handwriting recognition using a Raspberry Pi camera and TensorFlow. The system captures handwritten text through the Pi’s camera, processes the images using OpenCV for noise reduction and segmentation, and then feeds the extracted characters into a trained deep learning model built with TensorFlow. The model, trained on a dataset of handwritten characters, classifies input in real time, converting handwriting into digital text. This setup can be used for applications like smart notepads, automated transcription, or assistive technology for visually impaired users.
Argon One

Network Attached Storage

This project transforms a Raspberry Pi and an Argon One case into a compact, efficient Network-Attached Storage (NAS) device. Utilizing a Raspberry Pi 4 for processing power and the Argon One M.2 case for enhanced cooling and SSD support, the system provides a reliable and energy-efficient NAS solution. The setup includes an external SSD or HDD, connected via USB or M.2 SATA, and runs on OpenMediaVault (OMV) or Samba to enable seamless file sharing across a local network. With remote access, automated backups, and media streaming capabilities, this DIY NAS is perfect for personal cloud storage, home media servers, or small office environments.

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