RIM.ai

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. License
4. Acknowledgements

About The Project

Imagine having to never monitor surveillance videos and find people manually in those videos. Our system bridges the gap between traditional CCTV systems and state-of-the-art Computer Vision techniques to help eliminate the redundant and inefficient task performed by Police personnel.

Built With

The Tech Stack used to make the project is

• Bootstrap
• Django
• VueJS
• TensorfFlow
• OpenVINO
• Keras
• OpenCV

Prerequisites

You should have the specific OpenVino version installed (openvino 2020.4.287).

• OpenVino
• Python 3.7

Installation

1. Clone the repo

   git clone https://github.com/DylanDsouza00/ResearchInMotion-RIM.ai.git

2. Install python packages

   pip install -r requirements.txt

3. Run your project.

   python vino_inf.py

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

Dylan Dsouza-[https://www.linkedin.com/in/dylandsouza00/]
Sujit Noronha - [https://www.linkedin.com/in/sujit-noronha-0452171b1]
Askhaye Nair-[https://www.linkedin.com/in/akshaye-nair-aa6007181/]