Home automation using artificial intelligence
I would like to develop an AI that will teach students in Rural Niger-Delta of Nigeria (precisely in Emu Kingdom) where there are not enough teachers to teach them certain subjects. This will involve culture conducive AI tools and delivery.
This is about online shopping. Here, the user gets a 3D viewpoint of the product which he/she wants to purchase. After getting a feel, the user is able to make a relevant decision considering his/her choice and accordingly the product will be bought.
I'm Akshay Pradeep now I am doing Diploma in Electronics Engineering in Govt. Polytechnic Chelakkara
This work presents the development of a prototype for the recognition of universal facial expressions. This technic provides an alternative way of gathering data from the user, being able for usage as an input way for information systems. For faces detection and extraction of their characteristics technics of Computer Vision and Digital Image Processing are employed, implemented by the dlib library with Intel RealSense. The classification into facial expressions is performed by an Artificial Neural Network, of the multilayer perceptron kind.
TASS PVL is a sister project to the original TASS Hub project. As with TASS Hub, TASS PVL is a local server which homes an IoT connected A.I. powered by the Intel® Computer Vision SDK Beta. The hub can connect to multiple IP cameras and two Realsense cameras. First, the program detects if there is a face, or faces, present in the frames, and if so passes the frames through the trained model to determine whether the face is a known person or an intruder. In the event of a known person or intruder, the server communicates with the IoT JumpWay which executes the relevant commands that set by rules, for instance, controlling other devices on the network or raising alarms in applications etc.
TASS PVL uses the following Intel technologies:
- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in the sister project TASS PVL, follow this link.
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.
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Augmented Reality apps, take an image of my room and perform the shifting of objects based on augmented reality.
Hello, I'm Josiah Tindana studying BSc Statistics in the Kwame Nkrumah University of Science and Technology in Ghana and have a great passion for IT in its broadest sense. As a cross-platform, cross-language developer, I'm most enthused by the rapid development in areas such as A.I and other high level coding. Having worked on many Web and office framework, my own contributions in open source coding can not be underestimated. Always looking forward to learning from other developers and as well, paving the way for more improvementspecific in the development environment.
Hello! I have completed my M.Tech from Visvesvaraya Technological University in computer science. I would like work on a project which is based on deep learning. I am very much interested in Artificial Intelligence and Machine Learning.I am comfortable in C and Python.
IoT based air pollution monitoring systems can monitor emission of harmful gases by using gaseous and meteorological sensors. In this project we are going to make an IOT Based Air Pollution Monitoring System in which we will monitor the Air Quality over a webserver using internet and will trigger a alarm when the air quality goes down beyond a certain level, means when there are sufficient amount of harmful gases are present in the air like CO2, smoke, alcohol, benzene and NH3. It will show the air quality in PPM on the LCD and as well as on webpage so that we can monitor it very easily.
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