APPLICATION

Leveraging AI Visual Algorithm Advantages. Introducing a series of industry-specific algorithms that enable comprehensive supervision and control over the construction process, focusing on "safety, quality, environment, and efficiency.".

Task Surface Progress Recognition

AI identifies the process steps within the task surface area, automatically analyzing construction progress to enable dynamic control over the project schedule.

Safety Helmet Wear Recognition

AI detects whether workers are wearing safety helmets. If not, the on-site sound and light alarm system will provide a voice reminder to ensure helmets are worn properly.

Reflective Vest Recognition

AI detects whether workers are wearing reflective vests. If not, the on-site sound and light alarm system will provide a voice reminder to ensure reflective vests are worn properly.

Open Flame Recognition

AI effectively identifies potential fire hazards on the construction site. The system generates an alarm notification, while the on-site sound and light alarm system provides a voice warning to alert workers.

Elevator Capacity Recognition

AI identifies the number of workers in the construction elevator. When the number exceeds the limit, the sound and light alarm system issues an alert, and a snapshot is taken and sent to the platform for further monitoring.

Bare Soil Coverage Recognition

AI monitors the status of exposed soil on the construction site in real time, providing coverage data such as the percentage of soil covered, which is then sent to the platform for further analysis.

Unwashed Dirt Truck Recognition

AI recognizes trucks entering and exiting the construction site, capturing images to identify whether they have been properly washed. The algorithm supports automatic recognition of manual washing and washing stations, and is capable of detecting operations during nighttime as well.

Vehicle Enclosure Transport Recognition

AI monitors the status of the tarpaulin or cover on dirt trucks entering and exiting the construction site in real time. Images and other data are captured and sent to the platform for further analysis, ensuring proper vehicle enclosure during transport.

Dirt Truck Leakage and Spillage Recognition

AI detects whether concrete mixer trucks, dirt trucks, or similar vehicles are leaking slurry, mud, or bare soil when leaving the construction site. This ensures proper control of spillage and leakage during transportation.

Danger Zone Intrusion Detection

AI automatically detects when personnel approach designated hazardous areas. The system triggers an alert, and the on-site sound and light alarm system provides a voice warning to prevent access to the danger zone.

Morning Safety Meeting Recognition

AI detects whether the construction site holds daily safety meetings on time. The system automatically captures the meeting video and transmits it to the platform for further monitoring and record-keeping.

Perimeter Sprinkler System Recognition

AI automatically detects whether the sprinkler system installed on the construction site’s perimeter is functioning properly. It tracks the number of times the system operates each day and sends the data to the platform for monitoring.

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