Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.
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We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.
Professional team work and production line which can make nice quality in short time.
The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems
Address：No. 3888, Hutai Road, Baoshan District, Shanghai, China
A classic model of the smart ,helmet, has been developed for the mining industry in order to ,detect, hazardous events in the mining environment. The developed prototype is able to sense the quality of air, humidity, removing the ,helmet, by miner, and crash of an object on head.
Detection of helmets or work uniforms in the “Detector of Construction Site Safety” of the Xeoma camera software is fully automated. Just connect the module into the chain after the camera module and select the outfit elements to watch for, and whether you want the system to react or ignore these types.
helmet compared with those wearing a helmet. Basically we can detect helmet combining two methods that is background subtraction and Hough transform descriptor. We will extract the background image and then on a particular segment we will apply Hough Transform Descriptor. Hough Transform descriptor is basically used for detecting
machine (SVM) is used to classify pedestrians. At last color feature recognition method is used to detect whether the persons wearing safety helmet or not. They also used few machine learning concepts like squeezing out HOG feature and training support vector machine
Detect people without helmets using AI-based helmet violation detection technology. In various job environments wearing helmets is mandatory, such as factories, construction sites, mines, etc. When someone enters the high risk area without wearing a helmet, it is a big problem also to the institution responsible for the safety of people.
The box color represents the probability with which a person can be determined as wearing or not wearing a safety helmet. The color scale is a continuum where green signifies ‘wearing a helmet’ and red ‘not wearing a helmet’. When the model is about 50% certain, the box is yellow.