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
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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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