Activity Feed

Vupham

Vu P. added photos to project VeggieBox - your kitchen assistant for healthy meals

Medium 28ab7de2 6313 440d 9aa0 7d1f2332e070

VeggieBox - your kitchen assistant for healthy meals

See the document in the link for more information.

2 Technology

2.1. Vision
At the core of VeggieBox is Intel Movidius NCS running Deep Learning models for object detection on the low-powered device. It will take as input an image captured by the camera, analyze and detect the ingredients. Using state-of-the-art Deep Learning models, the device is able to recognize multiple ingredients at once. The system will then query our recipe database and suggest those that are best matched to the given ingredients. It will then show a step-by-step guide on how to prepare the meal on its touch screen. Text-to-speech and simple voice command engines will provide more comfort when your hands are busy with chopping and picking.

2.2. Energy Saving
Thanks to the Movidius NCS, low powered home devices can now leverage Deep Learning. Our design of VeggieBox further builds up on this advantage so that it consumes as least power as possible. The device always run in idle mode, in particular the vision eye and other background services are not running all the time. The infrared sensor however can detect human interactions with the kitchen table, or other interaction close to the device, henceforth activate the device. Such an infrared sensor mounted on Andruino or Raspberry Pi consumes little energy.
Operating in real time, the nature of the problem allows the detection engine works at low frame rate. Overall, this leads to low power consumption for the camera, video processing chip, and the neural stick altogether.

2.3. Connected Search & Personalization
VeggieBox itself is an standalone device but has great potential to be a front-end device whose centralized servers process instantly recipe searches and collect meal photos. Backend technology uses NodeJS with ExpressJS for serving and ElasticSearch for database and searching.

2.4. Narration and Voice Interaction
State-of-the-art text-to-speech models will be used to transform instructions into voice, helping users to prepare their meal in the most natural and convenient way. On the other hands, models for speech recognition will be employed to detect simple voice commands from users. The touch screen will always be available for interaction with the device, while voice-based interaction will further enhance user's experience.

2.5. Timeline
- Q3 2017: Proposal and Feasibility Study
- Q4 2017: Finish VBox version 1, finalized hardware engineering and fundamental software features: Machine Learning models and recipe database.
- Q2 2018: Case design and advanced features: text-to-speech, voice command, features for social networks.

Medium vupham

Vu P. created project VeggieBox - your kitchen assistant for healthy meals

Medium 28ab7de2 6313 440d 9aa0 7d1f2332e070

VeggieBox - your kitchen assistant for healthy meals

See the document in the link for more information.

2 Technology

2.1. Vision At the core of VeggieBox is Intel Movidius NCS running Deep Learning models for object detection on the low-powered device. It will take as input an image captured by the camera, analyze and detect the ingredients. Using state-of-the-art Deep Learning models, the device is able to recognize multiple ingredients at once. The system will then query our recipe database and suggest those that are best matched to the given ingredients. It will then show a step-by-step guide on how to prepare the meal on its touch screen. Text-to-speech and simple voice command engines will provide more comfort when your hands are busy with chopping and picking.

2.2. Energy Saving Thanks to the Movidius NCS, low powered home devices can now leverage Deep Learning. Our design of VeggieBox further builds up on this advantage so that it consumes as least power as possible. The device always run in idle mode, in particular the vision eye and other background services are not running all the time. The infrared sensor however can detect human interactions with the kitchen table, or other interaction close to the device, henceforth activate the device. Such an infrared sensor mounted on Andruino or Raspberry Pi consumes little energy. Operating in real time, the nature of the problem allows the detection engine works at low frame rate. Overall, this leads to low power consumption for the camera, video processing chip, and the neural stick altogether.

2.3. Connected Search & Personalization VeggieBox itself is an standalone device but has great potential to be a front-end device whose centralized servers process instantly recipe searches and collect meal photos. Backend technology uses NodeJS with ExpressJS for serving and ElasticSearch for database and searching.

2.4. Narration and Voice Interaction State-of-the-art text-to-speech models will be used to transform instructions into voice, helping users to prepare their meal in the most natural and convenient way. On the other hands, models for speech recognition will be employed to detect simple voice commands from users. The touch screen will always be available for interaction with the device, while voice-based interaction will further enhance user's experience.

2.5. Timeline - Q3 2017: Proposal and Feasibility Study - Q4 2017: Finish VBox version 1, finalized hardware engineering and fundamental software features: Machine Learning models and recipe database. - Q2 2018: Case design and advanced features: text-to-speech, voice command, features for social networks.

Vupham

Vu P. added photos to project GridRNN in tensorflow

Medium cdaf6c53 a59a 47c7 8708 db3f279c55e7

GridRNN in tensorflow

he GridRNN implementation in tensorflow is generic, in the sense that it supports multiple dimensions with various settings for input/output dimensions, priority dimensions and non-recurrent dimensions. The type of recurrent cell can also be selected among LSTM, GRU or vanilla RNN.

Here we collect some examples that demonstrate GridRNN, which will be added over time. The current list of examples include:

- char-rnn: 2GridLSTM for character-level language modeling.

Medium vupham

Vu P. created project GridRNN in tensorflow

Medium cdaf6c53 a59a 47c7 8708 db3f279c55e7

GridRNN in tensorflow

he GridRNN implementation in tensorflow is generic, in the sense that it supports multiple dimensions with various settings for input/output dimensions, priority dimensions and non-recurrent dimensions. The type of recurrent cell can also be selected among LSTM, GRU or vanilla RNN.

Here we collect some examples that demonstrate GridRNN, which will be added over time. The current list of examples include:

  • char-rnn: 2GridLSTM for character-level language modeling.

About

Featured Projects

See All

Golden bfff1346 49d7 4ee1 b07c ffde7c78d65b
  • Members 312

DeepLearning

Practical Deep Learning and Machine learning Projects

Bigger 0 1js6 1tdxpd4d9u483b8t4pef8koysujqbbc9dhiy3yyynzy8rbhic8ia0hld4urqzq3no3igluzywrjkniwnhtdolu4ywwglnix31gsx0jayp4ql rlbcqzkf
  • Projects 0
  • Followers 3

Syed Muhmmad Hani

Alexanderplatz, Panoramastraße 1a, 10178 Berlin, Germany

Bigger nader
Innovator
  • Projects 3
  • Followers 177

nader rahman

Z.I. Chotrana II B.P. 160، Pôle Technologique El Ghazela، Ariana 2088, Tunisia

Bigger 0 15dd fjqax2tzjdj1ma7nbhnym8tk1dg1nrobaj xdrqk0eynnrolxgbyz2ya0fobfr7l9pbd88 qg9ntaycnqyqs88tqgug1ayf3f8nfsauqvoq1euaiuczbx
  • Projects 0
  • Followers 2

Ved Prakash Bharti

Alexanderplatz, Panoramastraße 1a, 10178 Berlin, Germany

Medium real sense
Featured
  • Followers 1725

Intel RealSense™

Natural interaction, immersive, collaboration, gaming and learning, 3D scanning. Integrate tracki...

Medium android
Featured
  • Followers 1746

Android

Intel is inside more and more Android devices, and we have tools and resources to make your app d...

Medium big data
Featured
  • Followers 1810

Modern Code

Drive faster breakthroughs through faster code: Get more results on your hardware today and carry...

Medium networking
Featured
  • Followers 1658

Networking

Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are transforming the...

Medium achievement unlocked logo
Featured
  • Followers 1582

Game Development

Upgrade your skills as a game developer, share your game projects, and connect with other develop...

Medium vr large 575x441
Featured
  • Followers 1293

Virtual Reality

VR, AR, mixed reality...you'll find projects based on all these new platforms here. Share your own!

Bigger caves 20from 20sid
  • Projects 0
  • Followers 1

Lilly Jones

My passion involves leveraging deep learning and machine learning for the geosciences.

Rapid City, SD 57701, USA

Bigger screen shot 2017 10 23 at 6.55.41 pm
  • Projects 0
  • Followers 4

Felix Farley

President of the Artificial Intelligence in Business & Entrepreneurship (AIBE) Summit | Bachelor of Science student at the London School of Economics | Aspirant expert in public sector applications of blockchain and AI

London, UK

Bigger profile img
  • Projects 1
  • Followers 0

Baye Gaspard

Gaspard is professional developer who loves team work, problem solving and can work in a dynamic environment.He loves coding but he is passionate about IoT, AI and Robotics.Gaspard was the best overall graduating male student in 2016 and won 2 President Paul Biya Awards for the best National student in Higher National Diploma student in telecommunications and he was also the best GCE Advanced A-level science student in Northern Cameroon.He Co-founded an IT startup aimed at solving community problems using ICT.He was a 10academy fellow, where he participated in an intensive program and has acquired modern skills such as design thinking, Artificial Intelligence, Machine Learning, Big Data, Robotics and Business Management.Currentle working on an AI powered free mobile application to diagnose, detect and prevent respiratory diseases in less than 10 mins, then connect patients with doctors(and or specialists) both locally and remotely.

Centre, Cameroon

Bigger minang r
  • Projects 0
  • Followers 0

Fauzan St Mangkuto

Pejaten, Kramatwatu, Serang, Banten 42616, Indonesia

See More