AI recognition in construction engineering applications

AI technology will be widely used in our lives in a variety of new forms, in the construction industry, large-scale engineering plans require a lot of manpower and time costs, the introduction of AI to improve on-site operation efficiency and maintain the safety of the working environment, assist managers to record daily project progress, and structure heavy raw data to facilitate quick access to data in the future.

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Project progress monitoring

 

Construction work is a tedious and time-consuming large-scale engineering activity that requires a lot of manpower to complete, so there are a lot of uncontrollable factors.Delays in works will cost more additional expenses, which in turn will affect profits and goodwill.Through AI recognition and cooperation with the module system, check the progress of the project, record the projects that cannot be completed in time, and then adjust the manpower and schedule.

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Job safety management


Construction sites are high-risk occupational hazards, and accidents are frequent, so industrial safety regulations must rely on manpower on-site inspectors. Through AI identification from surveillance images can reduce the loopholes of inspectors.

Personnel safety specifications

Identify whether site personnel are wearing protective equipment such as safety helmets and safety vests in accordance with regulations.

Heavy machinery implement safety area

Identify the movements and attitudes of heavy machinery tools and define the surrounding hazardous areas to prevent personnel from entering by mistake.

Hazard alerts and notifications

When personnel enter the area, timely alarm and notify the supervisor, synchronously capture the event screen and back up to the cloud, so as to facilitate subsequent inspectors to record.




Building Damage Assessment and Restoration

AI recognition technology has greatly improved construction operations, and is expected to be developed in the future in simulated damage assessment, through image analysis to software simulation, to determine the degree of damage, so as to facilitate subsequent repair work.