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Safety protection method for personnel around foundation pit

A technology for personnel safety and foundation pits, which is applied in the field of personnel safety, can solve problems such as high precision, slow speed, and large quantities, and achieve the effect of improving accuracy and speed and ensuring safety

Inactive Publication Date: 2018-10-09
CHENGDU REMARK TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The first method is more accurate, but slower
The second method is faster, but more accurate
In the training process, although the loss caused by easily distinguishable negative samples is very small, due to the large number, it eventually accounts for the vast majority of the entire loss.
As a result, the convergence is less than an ideal result

Method used

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  • Safety protection method for personnel around foundation pit

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Experimental program
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Effect test

Embodiment 1

[0022] Such as figure 1 As shown, the present invention includes a personnel safety guarantee method around the foundation pit, comprising the following steps:

[0023] S1: Set a safety warning area for the surrounding area of ​​the foundation pit;

[0024] S2: Set up cameras around the foundation pit to ensure that the photos captured by the camera can include both the foundation pit and the warning area;

[0025] S3: Connect all the cameras erected around the foundation pit with the remote control center, and the remote control center adjusts the monitoring area and delimits the foundation pit area according to the surrounding conditions of the foundation pit;

[0026] S4: The remote control center uses the pictures collected by the camera to detect the people around the foundation pit through the pedestrian detection algorithm, and obtains the relative position between the detected people around and the safety warning area. If the safety warning area overlaps, a correspon...

Embodiment 2

[0030] This embodiment is preferably as follows on the basis of Embodiment 1: In step S4, the pedestrian detection algorithm uses the pictures collected by the camera to obtain a data set as training data and a loss function and brings it into the model network architecture for training, and finally directly brings the pictures collected by the camera The trained network architecture can be used to detect the situation of people around the foundation pit, and the loss function is Loss(p)=-(1-p) a log(p), P refers to the probability that the detected object is a pedestrian, (1-p) a is the adjustment factor, 2<a<3. The data set is a collection of detected targets obtained by intercepting targets in images from complex daily scenes. The loss function is used to measure the deviation between the probability value of the detected object given by the model and the true value. The model optimizes the network parameters according to the loss value given by the loss function. At the...

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PUM

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Abstract

The invention discloses a safety protection method for the personnel around a foundation pit. The method comprises steps that S1, a safety warning area is set at the area around the foundation pit; S2, cameras are placed around the foundation pit, and the cameras are guaranteed to capture photos including both the foundation pit and the alert area; S3, all the cameras mounted around the foundationpit are connected with a remote control center, and the monitoring area is adjusted by the remote control center according to the surrounding conditions of the foundation pit, and the foundation pitarea is delimited; and S4, the photos captured by the cameras are utilized by the remote control center, through the pedestrian detection algorithm, the personnel around the foundation pit are detected, the relative position between the detected surrounding personnel and the safety warning area is further obtained, whether issuing a warning message is needed is determined, for the pedestrian detection algorithm, the probability that a small quantity of sample classes is acquired through model network calculation is enhanced. The method is advantaged in that through the principle, accuracy andthe speed of detection on the personnel around the foundation pit are improved, the personnel around the foundation pit is rapidly and timely prompted, and safety of the personnel around the foundation pit is guaranteed with high reliability.

Description

technical field [0001] The invention relates to the field of personnel safety, in particular to a method for ensuring the safety of personnel around foundation pits. Background technique [0002] In the existing technology, the accuracy and reliability of ensuring the safety of personnel around the foundation pit are affected by the detection technology. The accuracy and speed of the detection technology will affect the accuracy of the safety of personnel around the foundation pit. If the detection technology cannot accurately identify the If the personnel will be warned and reminded to be wrong, the safety of the personnel around the foundation pit cannot be guaranteed. Among existing object detection techniques, there are two techniques. One is to first obtain a large number of possible positions of objects, and then input them to a convolutional neural network. The other is to directly feed the possible locations of a large number of objects into a classifier. The firs...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04H04N7/18
CPCH04N7/18G06V40/10G06N3/045G06F18/24
Inventor 周科李源
Owner CHENGDU REMARK TECH CO LTD
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