Timeline
September 07th
Concept Design
The team laid the groundwork for our innovative parking detection system, outlining the project's scope, goals, and intricacies. Simultaneously, we sourced essential materials, ensuring that our hardware and software requirements were met with precision. The design process for the Printed Circuit Board (PCB) commenced, adhering to the stringent IP standards. This crucial groundwork set the stage for the forth coming development.
September 18th
Intial Developement
Our team embarked on an intensive learning phase, diving into the realms of OpenCV and Flutter. The team began laying the foundation for the initial app, integrating the acquired knowledge to craft a user-friendly interface. Additionally, efforts were dedicated to creating distinctive logos and establishing a robust brand representation for GET PARKED, setting the stage for a recognizable and impactful presence.
September 28th
Risk Management
In our pursuit of creating the parking detection application, we acknowledged the inherent challenges and uncertainties that come with it. Our risk management strategy is implemented into many of our development process, ensuring that potential hurdles are not only identified but addressed to enhance the app's overall quality.
October 06th
Initial Model Training
The team has successfully crafted the object detection model tailored for detecting cars within a parking lot. This accomplishment marks a pivotal step in the development process, bringing us to the exciting phase of training this compact yet powerful computer.
October 16th
Product Representation
The team had their photos taken, immortalizing the collective spirit driving our vision. Simultaneously, our team began laying the groundwork for our approach as a brand and the values we represent.
October 20th
First Vehicle Detection
Our diligently trained model was successfully deployed in the Camosun parking lot, achieving its first real-world vehicle detection. This signifies a tangible step forward in the practical application of our automated parking solution.
October 30th
PCB Arrives
The arrival of the PCB board from JLC PCB marks the commencement of our product fabrication phase. As we embark on the next stage of fabrication, the integration of this PCB board sets the foundation for our innovative solution.
November 06th
Tuning Detection
Initiated the transmission of parking data values to The Things Network, marking a crucial step towards the real-time functionality . Simultaneously, our team has been fine-tuning the machine learning algorithm, ensuring its responsiveness and accuracy in interpreting parking data.
November 10th
Policy Change / ECO
Our plans for installing the camera at the Camosun parking lot encountered a setback. Camosun paused our installation, expressing concerns about potential privacy violations and the extraction of personal data from the parking lot photos. Recognizing the importance of privacy and data security, we are proactively adapting our approach by redefining what our camera will be detecting.
November 22th
Data communication
The data from our object detection program to TheThingsNetwork and, subsequently, to the app is developing seamlessly. This process involves transmitting parking data and decoding accurately within the app.
December X
Integration
Developed the Object Detection and
mobile application for GET PARKED. Began
working on data communication
December X
Testing
Began sending data from cloud sever and pulling and implemeneting data valuess
December 15th
Deployment
We did it
