Since critical accidents and fatalities have increased a lot since 2015, safety control systems on construction and development sites are significant success factors in various projects and critical factors of tender evalutaion. The current monitoring process on construction sites is inefficient, as CCTV is still monitored manually, and a single agent cannot monitor more than six screens simultaneously, resulting in inaccurate, incomplete and delayed response.
Our vision is to apply our AI solutions and IoT technologies to protect workers by creating a “zero accident” work environment, reduce the number of expensive errors and worksite injuries, making building operations more efficient. Our advanced technologies will support job-site safety by identifying various anomalies present on the job site that may threaten work safety. Our Construction Monitoring Solution is AI-based with IoT, and it is easily installed on existing CCTV systems. It can automate monitoring of construction safety and work progress. Our AI can detect workers and vehicles that are in danger, and workers wearing improper equipment or violating worksite regulations.
This will allow construction companies to use the data to make predictions about the future and to plan better, resulting in improve workplace safety, increasing profit and more successful projects.
Team members
Dr Ye Zibo (South China University of Technology)
Mr Cheng Yeung (Alumnus, Dept. of Computer Science, CityU)
* Person-in-charge
(Info based on the team's application form)
- CityU HK Tech 300 Seed Fund (2022)