- Problem Statement
- Conceptualisation
- Project Roadmap
- Language and Technologies
- Installation
- Directory Tree
- Social Media and Outreach
- Contribution Guidelines
- Credits
Our approach is based on developing an intelligent, fully autonomous trolley based on Raspberry-pi that is capable of following the consumer in shopping complexes or grocery stores. This incorporates the concept of trilateration to optimise indoor navigation, making it faster/cheaper than GPS navigation or using techniques like object-detection/deep learning.
More details in our concept video on youtube: https://youtu.be/lRpyFtYRt68
Our wiki can be found here
The roadmap for our project can be found here.
To install and build the package, please follow the tutorial below
A detailed directory tree can be found here
Follow us on social media platforms to keep up to date with our product updates and future plans:
Thank you for your interest in our project. We strongly encourage reading the contribution guidelines before you be begin. The contribution guidelines for the repository can be found here.
We take this opportunity to express our gratitude and sincere appreciation to Prof. Dr. Bernd Porr and Prof. Nicolas Bailey for their constant support, and conscientious guidance throughtout the project. We would also like to thank Mr. Tom O'Hara for providing the appratus and guidance.
GrocerEase is maintained by the team at C.A.T technologies. Contributors include:
- Adwait Naik
- Anmol Kumar
- Jia Wei Tan
- Sarthak Ahuja