On this demo, Aiju will design a home automation system able to recognise and identify people and letting them pass or not into a building. The main technology used for the develop will be image recognition so the system will be composed by a camera and artificial intelligence system to recognise the camera signal. All this technology will be communicated with microcontroller to generate outputs for system.

With the intention of applying the development to a real environment, it is decided to integrate it into a hospital access system. Facial recognition will be able to detect health personnel or patients in a way that will indicate the access door, and will also control if everyone is wearing masks. In the event that a patient is not registered at the hospital or has made a mistake on the day of the visit, the system will not allow access.

Development of an automatic wooden spoon controlled by a mobile app.

This demonstrator will take the form of an intelligent room. We will focus here on measuring the conditions that prevail in this room, such as temperature or humidity. We will also be able to control the opening and closing of the door to this room and other elements. For this purpose, a chatboot will be created, through which the user will communicate with the system of sensors and actuators. To be able to send commands to the intelligent sensor system, the Telegram application will be installed on your phone, tablet or computer. The ESP8266 board will be used to control the system of sensors and actuators. Thanks to the use of this demonstrator, it will be possible to obtain information, for example, how the conditions change when there are few and many people in a room, and to remotely manage devices and elements located in this room.

This project will consist of the design of a telecommunications network that allows remote control of the lighting of a house through WIFI signals. Artificial intelligence will be applied by implementing a CHATBOT.

This project will consist of the control of exterior lighting depending on the intensity of sunlight as well as the turning on and off of the lights in the different rooms of the house. Artificial intelligence will be applied by implementing voice control in the lighting of the rooms of the house.

With the help of ESP and different sensors, central unit is capable of interacting with the user via chatbot (voice) and is controlling :
power to different outlets
power to AC system and heating elements
power to light fixtures
opening/closing blinds
detecting power outages in separate rooms or on particular systems (for instance work stations, TV, ACs etc)
detecting presence of a person
reading values from light, temperature, moisture, air pressure
recognition which rooms are occupied and which aren’t (automatic lights)