Smart City

Smart City

nader rahman

nader rahman

Ariana,

Model of a smart city with electrical components (IOT) accompanied by a mobile application (Android)

Internet of Things

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Description

Model of a smart city with electrical components (IOT) accompanied by a mobile application (Android): The invention concerns a miniature prototype simulating a smart city comprising IoT components (Intel Edison card, temperature / sound / gas sensors,...) with a mobile application inter-communicating to provide functionalities to the citizens of the smart city:

  • Remote parking.
  • Public Wifi Park with electrical outlets in order to charge phones or computers.
  • Intelligent store for automatic delivery of products.
  • Noise pollution detection.
  • Detection of gas.

and other functionalities for the management of the city:

  • Economic management of the electricity of the lightpoles (by detection of the passing objects).
  • Temporal organization of road traffic lights.
  • Automatic irrigation of green areas.

The user can therefore use the application to benefit from the provided services, and be notified in case of danger in order to improve the standard and quality of life, comfort and safety.

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SAI SRI RAM N. updated status

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SAI SRI RAM NIDAMANURI

Hi guys,this is sriram pursuing B.tech 3rd year 2nd semester in vijayawada.I am presently working on a project which requires machine learning,convolutional neural networks,image processing,python,php and other languages (used for building an website).The main motto of my project includes detecting the objects from a given image.This is pretty hard project for me but more interesting one because this project seperates me from others.I have a team with one member.I asked my teammate to learn numpy,scipy and pandas libraries .I have already installed numpy,scipy , pandasand other libraries without installing anaconda.I am getting many confusions in this project.But finally i have got a better overview about it and my team is currently working on it.I surely believe that my team can complete the project.Finally i have completed some courses like machine learning and presently preparing numpy,scipy,pandas,convolutional neural networks.

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Bishaw S. created project Visual data parsing for automated reasoning expert system

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Visual data parsing for automated reasoning expert system

Extract the data available in the input image/visual and process it to find the close search result available for the related terms. when a input visual containing the sentence "where is Mt. Everest ?" is given the output will be "Nepal", when a input visual containing the sentence "how to get to pokhara from kathmandu" the output will be google maps result with route, when the input visual containing "Gautam Buddha" is given the output will be wikipedia result about Buddha. the system will be able to

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muthu s. updated status

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muthu samy

RFP, Proactive pitch in , blockchain,IOT and Big Data sales pitch and strategies, engage with customers and provide solution design, consulting and recommendations. Provide consulting to customers in identifying Blockchain , IOT and Big Data use cases and then guiding them towards implementation of use cases. Big Data strategic planning, technology roadmap, talent acquisitions and mentor team for cutting edge technology competitiveness such as Hadoop, HIVE, HBase, Cassandra, AWS, Spark, R, big data analytics, data visualizations. Establish and manage governance for the implementation process , related to design of the target organization, production performance and managing change,

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muthu s. updated status

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muthu samy

Working on Trident Techno Minds Business & Emerging Markets Pre-Planning and delivery team for block chain , Internet of things ,Big Data services, strategy engagements with our existing and new customers in Big Data space.

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carmine s. created project EdibleMush

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EdibleMush

Currently Ai-based applications are available, but none of these offers a guarantee of truthfulness. Since in nature there are several chameleon mushrooms, the application may not be able to recognize it.

The idea of this project offers a more accurate solution for the mushroom recognition based on 3 different images to uniquely validate the mushroom: Cap, Stem and Gills of Mushroom.

The project involves the application of image recognition techniques based on deepLearning algorithms, for now trained with caffe framework.

Once the prototype environment for the workflow has been developed, specific test and validation datasets will be made for the most common mushrooms.

Furthermore, the use of Movidius in the prototyping phase is envisaged, which uses the training models realized with the help of the colfax cluster to do inference from the edges without the cloud.

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Firas Trabelsi

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Firas Trabelsi

o9avenue al safsaf Cite el ghazela 2083, Ariana, Tunisia

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Roberto Diaz Morales

I am currently the leader of the Data Science research line at Treelogic where I take part in many European H2020 research projects. My research interest include large scale Machine Learning, Parallelization and Deep Learning techniques. I obtained my PhD and Master Degree from the University Carlos III in Madrid where I worked under the supervision of Ángel Navia Vázquez. My Ph.D. research consisted in the parallelization of kernel methods, a family of of Machine Learning algorithms like Support Vector Machines (SVMs) or Gaussian Processes (GPs). My hobbies include taking part in Machine Learning competitions, such as those organized by Kaggle where I have received prizes in many competitions and I have reached the top 100 of the world ranking of data scientist.

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latha g

Bengaluru, Karnataka, India

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