GITS’s AI Risk Detection System is an integrated safety management platform that automatically identifies various hazardous behaviors that may occur at construction sites and instantly evaluates their risk levels. The system is designed to accurately detect unsafe behaviors such as unnatural postures during high-altitude work or ladder use, unsafe actions during scaffold operations, unauthorized entry into restricted areas, and failure to wear protective gear. In addition, it can recognize early warning signs that may lead to scaffold collapse, as well as potential hazards that could cause major accidents such as fires or electric shocks. When any abnormality is detected, the system immediately sends real-time alerts to site managers.
Site managers can check hazard records and warning notifications anytime through a dedicated smartphone application, allowing them to accurately monitor site conditions even when they are not physically present. Technically, the solution integrates a Flutter-based mobile application, an AI inference engine built on image recognition models, and cloud-based monitoring and alert functions—delivering high-precision surveillance without increasing the operational burden on the field.
Implementation: High accuracy via solid site analysis and execution.
For this project, GITS handled the entire end-to-end process, including requirements definition, system design, development, verification, and ongoing operation and maintenance. We began by conducting an in-depth analysis of hazardous behaviors that can occur on-site, and based on the findings, designed detection logic, application architecture, and alert mechanisms. Over the course of approximately two months, we collected image data and trained the AI model to build a high-precision detection system optimized for real site environments.
This was followed by a one-month proof-of-concept testing phase to validate detection accuracy and fine-tune the system according to real-world operation scenarios. Even after deployment, feedback from on-site personnel was continuously incorporated, further enhancing the system’s practicality and completeness.
Results: Clearer hazards, lighter safety workload
After the system was introduced, the client saw a substantial improvement in early detection rates for hazardous behaviors. AI is now able to automatically identify unsafe actions that were previously easy to overlook. As a result, the overall risk level at the site became clearly visible in real time, enabling managers to respond faster and more accurately.
The ability to centrally manage hazard records and warnings within the application streamlined patrol and reporting tasks and significantly reduced the workload of safety managers. Furthermore, the actual detection data has been used as training material, improving the quality of safety education and increasing the accuracy of hazard prediction exercises. By detecting potential risks in advance and issuing alerts, the system has also proven effective in preventing major accidents before they occur.
Summary: Accelerating digital safety with AI risk detection
Through this project, GITS successfully advanced construction-site safety management by automating risk detection, warning, and prediction using AI technology. The AI Risk Detection System is recognized as a high-value solution that not only improves safety but also enhances operational efficiency and training quality.
GITS will continue to support DX initiatives across various industries—including construction, manufacturing, and infrastructure—by providing AI solutions that strengthen both safety and operational efficiency.
For companies considering AI-based safety enhancement
If your company is looking to implement real-time hazard detection, strengthen safety management toward zero-accident operations, or simply wishes to consult about AI risk detection systems, please feel free to contact GITS.
We will propose the most suitable AI solution tailored to your specific site environment.
