Home automation using artificial intelligence
A Car Company Providing a Number of Model Options has to Carry out a Number of Tests on the Spare Components of a Car which can add Noise or Air Pollution! An Intelligent Test Automation Software could reduce this Number of Tests for a Specific Car Model by Automating the Test Process!
Just finished the hombase device for elder care facilities. This device eliminates the need for all the BLE hubs required.
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
In recent years, research over information exchange between vehicles has been growing, with the goal to improve safety and efficiency in traffic. This project describes the development of a multi-agent system for simulation of connected vehicles in road crossings, in order to remove the need for traffic lights. The system was developed using the C# programming language and Boris.NET platform for communication between agents. The user can specify the desired environments using JSON files which are read at the simulation startup. A 2D graphical interface was also created to view the simulation, so that it can follow an agent or stay at a map position.
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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