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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Deploy a pre-trained model. All models are based on Caffe. Environments. Windows 10; Visual Studio 2013 (Release x64) CPU; OpenCV; C++. It is highly recommended to use mini-caffe to deploy model for its portability, or OpenCV3 with SSD's layer is enough if you do not use our proposed models with RPA module. Code with OpenCV3 deployment is available in old version.
A prototype of intelligent mine ,safety helmet, is developed that is competent to recognize various kinds of unsafe situations in the mining industries such as carbon monoxide gas accumulation, miner removing the ,helmet,, and crash ,detection, (situation where mines is collided by something on his head).
The ,helmet, is the main ,safety, equipment of motorcyclists but many drivers do not use it. If a motorcyclist is without ,helmet, an accident can be fatal. This paper presented an automatic method for vehicle ,detection,, motorcycles classification on public roads and a system for automatic ,detection, of motorcyclists without ,helmet,.
little researches about detection of safety helmet wearing in power substation. In , the Kalman ﬁltering and Cam-shift algorithm are used to track pedestrians and determine motion objects. Meanwhile, the color information of safety helmets is used to detect safety helmets wearing. The main purpose of this paper is to develop an innovative
Abstract: Although motorcycle ,safety helmets, are known for preventing head injuries, in many countries, the use of motorcycle ,helmets, is low due to the lack of police power to enforcing ,helmet, laws. This paper presents a system which automatically detect motorcycle riders and determine that they are wearing ,safety helmets, or not. The system extracts moving objects and classifies them as a ...
1/2/2018, · The detection of whether wearing safety helmets or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this paper, a novel and practical safety helmet detection framework based on computer vision, machine learning and image processing is proposed.
A vehicle ,safety, system of claim 12, wherein the output unit comprises a proximity ,detection, circuit, wherein the output unit is responsive to the proximity ,detection, circuit, and wherein the output unit emits a warning signal when receiving a signal from the proximity ,detection, circuit indicating that a motorist wearing the ,helmet, is away from the vehicle.
When someone is detected, a bounding box is generated around that person in the video image. 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’.
A promising method for achieving this automated ,detection, of motorcycle ,helmet, use is machine learning. Machine learning has been applied to a number of road ,safety, related ,detection, tasks, and has achieved high accuracy for the general ,detection, of pedestrians, bicyclists, motorcyclists and cars . …