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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  • Abstract
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  • Claims
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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 negat

Method used

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  • Safety protection method for personnel around foundation pit

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Example Embodiment

[0021] Example 1:

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

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

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

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

[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 and the safety warning area. If the surrounding people and a certain level ...

Example Embodiment

[0029] Example 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 the data set as training data and the loss function is brought into the model network architecture for training, and finally the pictures collected by the camera are directly brought Enter the trained network architecture to detect 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

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Abstract

Description

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Application Information

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