Application of hard hat AI recognition algorithm in LiteCVR smart construction site solution

Smart construction site is a new construction model that uses advanced technologies such as the Internet of Things, cloud computing, and big data to optimize and manage the construction process on the construction site. Video surveillance plays an important role in smart construction sites.

The LiteCVR video surveillance system can monitor personnel and equipment on the construction site in real time and detect safety hazards in a timely manner. For example, surveillance cameras can detect whether workers are wearing safety helmets, operating according to regulations, and whether there are dangerous areas or unsafe behaviors on the construction site.

The LiteCVR platform's automatic identification solution for helmets/reflective clothing/work clothes can perform real-time analysis and detection of the clothing worn by people in the scene through the opencv+yolo network to determine whether the person is wearing reflective clothing/hard hats. In application scenarios, the detection application of hard hats/reflective clothing/work clothes is very important. Through real-time monitoring and early warning of personnel's standardized clothing, safety hazards can be reduced and safety improved.

The LiteCVR platform's automatic recognition and detection algorithm for safety helmets/reflective clothing/work clothes can detect in real time whether workers in designated areas are wearing safety helmets, reflective clothing/work clothes as required by real-time detection of surveillance video images. When personnel violate regulations, alarms, snapshots, pop-up prompts, etc. will be triggered immediately to remind managers to deal with them in a timely manner, so as to truly realize the safety information management of construction sites and factories, and achieve prevention beforehand, normal detection during the incident, and standardized management afterward.

Video surveillance can help managers monitor and evaluate construction quality. Through surveillance cameras, you can check the details and workmanship during the construction process at any time, discover construction quality problems and correct them in a timely manner, and improve construction quality and engineering effects.

In addition, video surveillance systems can monitor and record environmental conditions at the construction site, such as air quality, noise levels, etc. Through surveillance cameras, environmental abnormalities can be detected in time, and corresponding measures can be taken to protect the health of workers and the environmental safety of the construction site.

In the production safety of construction sites, factories and other scenes, LiteCVR is equipped with algorithms such as face recognition, safety helmets, work clothes, reflective clothing, fireworks, perimeter warning, liquid leakage, etc. The staff automatically detects whether they are dressed in accordance with the regulations. At the same time, based on AI algorithms such as smoking/playing mobile phones and leaving work, it automatically identifies whether the staff has violated regulations. Based on pyrotechnics detection, liquid leakage detection, etc., it can promptly discover safety hazards at the construction site/factory. Problems and timely warning to ensure safe production of enterprises.

Construction site management: LiteCVR video surveillance system can help managers monitor and manage construction sites in real time. Through surveillance cameras, you can check the situation of the construction site at any time, understand the number of personnel, equipment operation, etc., and improve the management efficiency and coordination of the construction site.

In short, the application of LiteCVR video surveillance in smart construction sites can improve the safety, construction quality and efficiency of construction sites, provide construction managers with scientific and accurate data support, and promote the standardization and modernization of construction sites.

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Origin blog.csdn.net/LiteMedia/article/details/135066342