The goal of this project is to create a web api to which you can upload photos of different types of electrical connectors. The web api back-end will then analyze the photo using machine/deep learning. When determined which type of connector it is it will be send back to the front-end.
the front-end of this project will consist of an app for ios and a web app.
- the web api will be made in python
- the web-app front-end wil be made using html5
- the dataset will be limited to the following types of connectors: dupont, jst, xt60
Steps to take:
- Create an front-end in which you can upload photos. ( i will start with an web app)
- Create the back-end api which will store the photos in a database.
- Determine which machine/deep learning algorithm to use.
- Create/train a dataset for the different types of connectors.
- Finalize the machine/deep learning system.
- Combine everything