Automation and digitisation are global trends for enterprises to achieve further development. DAioTA is committed to helping enterprises grow quickly. We aim to develop an all-round monitoring and control system with Artificial Intelligence of Things (AIoT) to improve our clients’ businesses by maximising their productivity and improving their services and products. The system includes self-developed LoRaWAN sensors for different scenarios, data collection and storage, data analysis with machine learning algorithms, automated control and preventive maintenance.
Our monitoring system collects data based on different circumstances with our sensors and stores them in a cloud database, which allows our users to access the data anytime, anywhere. Our monitoring system will use the collected data to continuously develop new machine learning algorithms to achieve higher efficiency and generate new functions.
Expanding the ESG level for large and small enterprises is also part of our company's mission. The system will help companies make efficient use of the data in their daily operating environment to adjust and reduce carbon emissions.
Team members
Mr So Ting-chi (Alumnus, Dept. of Electrical Engineering, CityU)
Mr Yan Ka-man (Alumnus, School of Creative Media, CityU)
Mr Tang Ka-chung (Alumnus, Dept. of Electrical Engineering, CityU)
* Person-in-charge
(Info based on the team's application form)
- CityU HK Tech 300 Seed Fund (2022)