Chat
Online
Inquiry
Home > Please wear helmet when entering the scene

Please wear helmet when entering the scene

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.

Why Choose Us
Solutions to meet different needs

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.

Highly specialized team and products

Professional team work and production line which can make nice quality in short time..

We trade with an open mind

We abide by the privacy policy and human rights, follow the business order, do our utmost to provide you with a fair and secure trading environment, and look forward to your customers coming to cooperate with us, openly mind and trade with customers, promote common development, and work together for a win-win situation..

24 / 7 guaranteed service

The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems

Certificate of Honor
Get in touch with usCustomer satisfaction is our first goal!
Email us
— We will confidentially process your data and will not pass it on to a third party.
Please wear helmet when entering the scene
Hard-Hat Detection for Construction Safety Visualization
Hard-Hat Detection for Construction Safety Visualization

Shrestha et al. developed a framework for construction ,safety, visualization and developed and tested an edge ,detection, algorithm. The framework included the installation of a set of CCTV cameras, a powerful server at the site office, and equipment to send warning messages to ,safety,-related personnel once the program detected workers not wearing hard hats in the construction sites.

FaceMask Detection using Tensorflow and OpenCV | by Manas ...
FaceMask Detection using Tensorflow and OpenCV | by Manas ...

By using Transfer Learning I am making use of the feature ,detection, capabilities of the pre-trained MobileNetV2 and applying it to our rather simple model. The MobileNetV2 is followed by our DNN composed of GlobalAveragePooling, Dense and Dropout layers. As ours is a binary classification problem final layer has 2 neurons and softmax activation.

Implementation of Smart Helmet - IJERT
Implementation of Smart Helmet - IJERT

A Smart ,Safety Helmet, using IMU and EEG sensors for worker fatigue ,detection,[3] It is known that head gesture and brain activity can reflect some human behaviors related to a risk of accident when using machine-tools. The research presented in this paper aims at reducing the risk of injury and thus increase worker ,safety,.

Hard-Hat Detection for Construction Safety Visualization
Hard-Hat Detection for Construction Safety Visualization

Shrestha et al. developed a framework for construction ,safety, visualization and developed and tested an edge ,detection, algorithm. The framework included the installation of a set of CCTV cameras, a powerful server at the site office, and equipment to send warning messages to ,safety,-related personnel once the program detected workers not wearing hard hats in the construction sites.

Automatic Detection of Bike-riders without Helmet using ...
Automatic Detection of Bike-riders without Helmet using ...

Automatic ,Detection, of Bike-riders without ,Helmet, using Live CCTV Camera - 30/04/2018 12:27 EDT. Budget $30-250 USD. ... Hello! I have rich experiences in C, C++, C#, ,OpenCV,, Image Processing, Video Processing, and so on. I have been working in computer vision ... Red-light and Motorbike ,Safety Helmet Detection, for Law Enforcement ($250-750 ...

Project Idea | Driver distraction and drowsiness detection ...
Project Idea | Driver distraction and drowsiness detection ...

25/6/2018, · For ,detection, of drowsiness, landmarks of eyes are tracked continuously. Images are captured using the camera at fix frame rate of 20fps. These images are passed to image processing module which performs face landmark ,detection, to detect distraction and drowsiness of driver.

Real-time DSP implementation of Pedestrian Detection ...
Real-time DSP implementation of Pedestrian Detection ...

Abstract: Pedestrian ,Detection, is the most critical ,safety, application in automotive driver assistance systems. Histogram of Oriented Gradients (HOG) features is known to produce the state of the art results for this application. This feature is very compute-intensive and it is difficult to achieve real-time performance by direct porting of community software like ,OpenCV,.

Object Detection using Python OpenCV - Circuit Digest
Object Detection using Python OpenCV - Circuit Digest

As told in the previous tutorials, ,OpenCV, is Open Source Commuter Vision Library which has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android.So it can be easily installed in Raspberry Pi with Python and Linux environment. And Raspberry Pi with ,OpenCV, and attached camera can be used to create many real-time image processing applications like Face ,detection, ...

Smart Helmet & Intelligent Bike System
Smart Helmet & Intelligent Bike System

Abstract - A smart ,helmet, is a type of protective headgear used by the rider which makes bike driving safer than before. The main purpose of this smart ,helmet, to provide ,safety, for rider . This implement by using advance feature like alcohol ,detection,, accident identification, location tracking, use as a hands free device, solar powered, fall

Implementation of Smart Helmet - IJERT
Implementation of Smart Helmet - IJERT

A Smart ,Safety Helmet, using IMU and EEG sensors for worker fatigue ,detection,[3] It is known that head gesture and brain activity can reflect some human behaviors related to a risk of accident when using machine-tools. The research presented in this paper aims at reducing the risk of injury and thus increase worker ,safety,.