AI recognizes the process steps in the operation area, automatically analyzes the construction progress, and realizes the dynamic control of the project progress.

Recognize whether the workers wear safety helmets, and at the same time, the on-site acousto-optic alarm horn can remind workers to put safety helmets on.

Recognize whether the workers are wearing reflect vest, and at the same time, the sound and light alarm horn will give a voice prompt to wear reflect vest.

Effectively recognize the fire point in the construction site, the system generates alarm information, and at the same time, the sound and light alarm horn will give a voice warning on the spot.

Recognize the number of workers in the elevator. When the number of workers exceeds the limit, the acousto-optic alarm horn will give an alarm prompt, and at the same time capture the picture and send it to the platform.

Real-time monitoring is carried out on the exposed loess covering state of the construction site, and data such as coverage rate are returned to the platform end.

Recognize muckdirt trucks moving throughmoving through the entrance and exit of the construction site and capture whether to wash them; The algorithm can automatically realize the manual washing and washing table, and can also prepare to recognize the work situation at night.

Real-time monitoring of the roof coverage status of dirt vehicles moving through the entrance and exit of the construction site, and returning pictures and other data to the platform.

Recognize and detect whether there is dripping mud and bare soil when vehicles such as concrete mixer and muck truck drive out of the construction site.

When a person approaches the designated dangerous area, the system will automatically recognize it, meanwhilethe sound and light alarm horn will give a voice warning on the spot.

Recognize whether the site holds regular safety meetings on time every day, and the video of the regular meetings will be automatically obtained and transmitted to the platform.

Automatically recognize whether the sprinkler system installed on the enclosure of the construction site works normally. Return the data of daily working times to the platform.