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538 results about "Crash helmet" patented technology

Thermal power plant on-site helmet wearing detection method

The invention discloses a thermal power plant on-site safety helmet wearing detection method, which comprises the steps of obtaining historical video pictures with workers in a monitoring area, and forming a safety helmet wearing detection data set; labeling the safety helmet wearing detection data set, and randomly dividing the safety helmet wearing detection data set into a training set and a test set; according to the obtained safety helmet wearing detection data set, generating an anchor frame corresponding to the safety helmet wearing detection data set and suitable for the monitoring area; training the improved YOLOv3 model by using the training set to obtain a helmet wearing detection model; adjusting the model confidence of the helmet wearing detection model; and carrying out real-time detection on the wearing condition of the safety helmet in the monitoring area based on the safety helmet wearing detection model. On the basis of the improved YOLOv3 model, real-time detection of safety helmet wearing of a thermal power plant on site is achieved, the method can adapt to complex scenes on site, mAP of safety helmet wearing detection is improved, the safety awareness of workers can be improved, and safety production on site is helped to be carried out in order.
Owner:BEIJING HUADIAN TIANREN ELECTRIC POWER CONTROL TECH

A safety helmet detection method and system in a dynamic background

The invention designs a safety helmet detection method and system in a dynamic background. The invention relates to the field of target detection and tracking. The method includes: labeling and training the data sets of workers and safety helmets, utilizing the characteristics of convolution neural network, inputting the features collected in the convolution layer into the classifier for training,and adding a classification layer at the end of the network to make these features enter the classifier for classification, obtaining the anchor boxes by clustering method, and predicting four coordinate values for each prediction box, drawing a prediction box for the object in the picture based on these four coordinate values, according to the predicted coordinates and categories of the predicted frame, judging whether the helmet is worn or not and the tracking of the worker is carried out. The invention can accurately identify whether a worker wears a safety helmet in a construction site or not, adopt a convolution neural network method to extract features, can better improve the identification efficiency and accuracy of the traditional method, and can better serve the shortcoming of great detection difficulty under the condition of changeable customer service background.
Owner:NANJING UNIV OF TECH

Constructor dressing standardization detection method and device based on visual analysis

The invention discloses a constructor dressing standardization detection method and device based on visual analysis, and the method comprises the steps: collecting an image sample of a constructor, capturing a local image of the head of the constructor, and dividing the local image into a safety belt wearing mode and a safety helmet non-wearing mode; training a classification model on the sample set by utilizing ResNet to obtain a helmet wearing classification model; acquiring a real-time video stream of a construction site, and extracting to obtain a key frame image; analyzing the key frame image by utilizing an OpenPose human body posture estimation algorithm, judging whether a human body key point is detected or not, and if so, positioning a head area and an arm area; otherwise, judgingwhether the short-sleeved shirt is worn or not in the arm area by adopting a skin color model; calling a safety helmet wearing classification model to classify and identify the head area, and judgingwhether a constructor wears the safety helmet or not. According to the invention, 24-hour all-weather nonstandard behavior detection of constructors can be realized, so that the safety supervision ofa construction site is realized, and the construction efficiency and safety are improved.
Owner:JIANGSU HAOHAN INFORMATION TECH

Method for monitoring emotion and health condition of operating personnel and safety helmet

The present invention discloses a method for monitoring emotion and health condition of operating personnel and a safety helmet. The safety helmet comprises a safety helmet main body, a heart rate sensor module, a blood pressure sensor module, a brain wave sensor module and a control device. The method for monitoring the emotion and health condition of the operating personnel comprises the following steps: acquiring heart rate, blood pressure and brain wave signal data of the operating personnel; and comparing the data with pre-stored heart rate, blood pressure and brain wave signal thresholdvalues and judging that the operating personnel is in normal emotion and health condition when the data is between the threshold values. The safety helmet is used as a body health device carrier for the operating personnel, thus realizes purposes of health monitoring and mood monitoring for wearers by detecting human body head signals, thus realizes convenience and accuracy of monitoring human body fatigue and unstable mood, reduces emergence of casualties accidents, and effectively solves problems that current mainstream human body monitoring devices are inaccurate in monitoring data, inconvenient to wear during work progress, lack of mood monitoring functions, etc.
Owner:YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST

Safety helmet wearing detection and identification method based on edge calculation and alarm system

The invention is applicable to the technical field of safety helmet wearing detection and identification, and provides a safety helmet wearing detection and identification method based on edge calculation and an alarm system, and the method comprises the steps: enabling a camera to obtain a video image of a collected image region in real time, transmitting the video image to a nearest edge calculation node, and enabling the edge calculation node to judge whether a person in the video image wears a helmet or not; performing consistent comparison according to the preset characteristics of the safety helmet and the characteristics of the hat, triggering safety protection information of wearing the safety helmet if the consistent comparison succeeds, and triggering danger protection information of not wearing the safety helmet if the consistent comparison fails; the edge computing nodes also send the danger alarm information, the safety protection information and the danger protection information to the central server; the central server sends out a corresponding alarm prompt according to the received danger alarm information, safety protection information and danger protection information; therefore, the safety helmet wearing detection precision is improved, the detection time is shortened, and the user experience is greatly improved.
Owner:图为信息科技(深圳)有限公司
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