Overview
The last 3 weeks of the course Advanced Embedded Software Development at CU Boulder consists of a project designed and implemented by students, individually or in teams. Implementation schedule is based on Agile Scrum with 3 one week sprints. The only requirements of the project are:
1) The project must use real hardware.
2) The project must use Buildroot or Yocto to build an embedded device image.
Students are able to submit extra credit proposals for additional work to share portions of their projects with future students in the form of howto steps or pull requests.
Spring 2023 Project List
AESD Final Projects - Spring 2023
Permission to Share Publicly
please enter your project description here if you'd like to share it publicly on the CU AESD course website
Reading and Printing Ambient Light to External LCD - Mark Sherman
Security Collection System with Localized Storage - Imaging data collected via camera sensor and stored to a removable storage device
Matthew Skogen
Motion Sense - Camera based motion detection system
Khyati Satta, Maanas Makam Dileep Kumar, Nihal Thirunakarasu
Automotive Emissions Monitoring System - Aditi Nanaware
Remote Controlled Environmental Monitoring - Environment sensing based on a push button
Ritika Ramchandani, Harinarayanan Gajapathy
ARM-Azure Cloud Storage Gateway : ARM controller based Azure Gateway solution
Sujoy Ray.
Air Quality Monitoring System - With this system, it is possible to improve indoor air quality and ensure a safe and healthy environment for occupants. - Akshith Aluguri , Ruthvik R Chanda
Audio Playback Using Bluetooth - Play audio on Raspberry Pi interfaced with CODEC and speaker, the audio playback is controlled from another Raspberry Pi running UI and commands sent over Bluetooth stack. - Daanish Shariff, Sudarshan Jagannathan, Sachin Mathad
IoT Light Sensor - Integrate an I2C driver to connect to an ambient light sensor and display light data on a host computer via socket connection/MQTT.
Malcolm McKellips
Automotive_Monitoring_System - Anuhya Kuraparthy , Malola Simman Srinivasan Kannan
Industrial Temperature Monitoring and Control System - Temperature monitoring and control system for industrial applications based on real-time data from the temperature sensor using Raspberry Pi-3- Ayswariya Kannan
Multiplayer Ping-Pong Game - Ajay Kandagal
Lane keep assistance system - We are aiming to simulate a lane-keeping assistance system for an ADAS Level 1 autonomous vehicle. - Vignesh Vadivel, Nileshkartik Ashokkumar
PiSecure - A Smart Home Security System - Harsh Beriwal, Shashank Chandrasekaran