For our CPEN 391 Project we implemented a smart lock with a multitude of customizable unlock options, including pinpad entry and FaceID. The lock also support notification of anomalous unlocks. The project was comrpised of 3 main parts: the backend, the user app, and the embedded system. Following these three links provides you with the documentation for running these aspects of the project.
Management of unlock methods is initiated through the user app, with most information being stored in the backend. The hardware was integrated to make API requests to the backend when prompted by a user triggered interrupt. Full documentation of the systems are provided at the link above, including instructions on how to set up the system for yourself.
- Performed paired programming with Harshil for the embedded system (files in
embedded_system/)- Hardware: Pinpad reader, pinpad avalon interface, servo motor controller, servo motor avalon interface, RFS daughtercard connection
- Embedded software: Coordinates actions of the servo and pinpad with the backend, from the Nios2 processor, using wifi. Original code mainly in main.c, requests.h.
- Individual debugging and validation of servo motor controller
- Sole Frontend Developer, contributed all files within
UserApp/ - Machine Learning Development, authored code in
outlier-detection/and the KNN and RandomForest models. - Worked with Devon on facial recognition pipeline
- Backend Developer, implemented code in
backend/unless otherwise specified. - Worked with Declan on facial recogntion pipeline
- Validated Hyperparameters for ML models and augmented data
- Performed paired programming with Aswin for the embedded system (files in
embedded_system/)- Hardware: Pinpad reader, pinpad avalon interface, servo motor controller, servo motor avalon interface, RFS daughtercard connection
- Embedded software: Coordinates actions of the servo and pinpad with the backend, from the Nios2 processor, using wifi. Original code mainly in main.c, requests.h.