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.
On this demo, Aiju will design a liquid dispenser machine, concretely a medical serum. This system could be use in any hospital, which want to administer any medication to a patient, and it will be design with the intention of help the healthcare staff in this job because it will be controller with command voice.
Development of a device that can recognise the face of the people and display it on a dashboard in node red and activate devices.
This demonstrator is in the form of an intelligent tractor, or more precisely, it has the ability to control the connected implement using voice commands. This agricultural implement will be controlled by voice commands through the use of the ALEXA voice assistant. It is possible to set the height of the implement on the tractor to perform a specific task (e.g. mowing grass at different heights) by giving voice commands. The microcontroller placed on the ESP32 board will watch over the correct operation of the tractor and mediate communication between the ALEXA system and the implement connected to the tractor.
The aim is to control a manual milling machine using Arduino and voice recognition in such a way that the main movements of the milling machine are carried out, following the orders given by the operator. For this purpose, a Bluetooth (BT) connection will be made between the Arduino and the mobile phone.
With the help of ESP and different sensors, central unit is capable of interacting with the user via chatbot and is also capable of:
Collecting and analysing of sensory data
Predicting required maintenance based on a DB of sensors and their maintenance
Telling the operator (maintenance staff) if the checked pneumatic system is working optimal
Checking the air flow and air pressure and determining the state of the system
Must be portable (app and chatbot running on a phone or other portable device)