GithubHelp home page GithubHelp logo

travel-robot's Introduction

travel-robot

robot

This is a robot built on top of 4wd car which having RaspberryPi 4B chip and Camera. The car will patrol around the room and recognize any lost mobile phone on the ground and move towards it. The implementation is based on Python3 and TFLite (TensorFlow Lite) Object Detection API. The tensor flow model is trained using EfficientDet, which is able to achieve real time object recognition.

Demo Video

demo.video.mp4

Flow Chart

flow chat

Sample Command

python3 detect.py --model="/home/pi/robot/model/phone-1.tflite" --frameWidth=320 --frameHeight=240 --detectThreshold=0.51 --cameraYAngle=62 --targetSizeThreshold=20

Reference

https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/2.2.0/ https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md

travel-robot's People

Contributors

twinssbc avatar

Stargazers

avatar

Watchers

avatar avatar avatar avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.