Week 10
With a slight issue with speed, the team trys to imporve the speed of the system as well as
get the system to integrate with the front-end.
Week 9
Having decided the object detection system the team gets to work on installation as
well as figuring out where to host their VM.
Week 8
After a long process of tiral and error the system's back-end finally comes together
using Python Flask, Azure and Gunicorn.
Week 7
The team worked on improving the model in order to make it more robust and accurate
while communicating with the client.
Week 6
During the chirstmas break the team worked on a variety of different tasks
for the project such as working on the database.
Week 5
Having decided the object detection system the team gets to work on installation as
well as figuring out where to host their VM.
Week 4
Still in the research stage the team tried to decide between using
OpenCV and Tensorflow for their object detection.
Week 3
With the project description set, the team sets off to research what they need
for their next steps of the project.
Week 2
Having confirmed the project the team starts to finalise the requirements
and focus on the HCI aspect of the project.
Week 1
Having been given a very open description on the project the team and GOSH decide
what route to take.