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Three-dimensional detection platform software and device based on machine learning and deep learning

A technology of deep learning and three-dimensional detection, which is applied in the direction of supporting machines, machine tables/brackets, instruments, etc., can solve the problems of complex installation structure and inconvenient installation and fixing by staff, and achieve enhanced fixing effect, enhanced clamping and fixing effect, and avoid The effect of normal use

Pending Publication Date: 2022-03-01
厦门微图软件科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to make up for the deficiencies of existing technologies, the conventional 3D detection platform includes signal triggering, point cloud acquisition, point cloud processing and signal feedback, and 3D cameras are often used in the point cloud acquisition steps, and 3D cameras are used Most of them are used together with the fixed bracket. However, the installation structure of the existing 3D camera and the fixed bracket is relatively complicated, which is not convenient for the staff to install and fix. The invention proposes a three-dimensional detection platform software based on machine learning and deep learning and device

Method used

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  • Three-dimensional detection platform software and device based on machine learning and deep learning
  • Three-dimensional detection platform software and device based on machine learning and deep learning
  • Three-dimensional detection platform software and device based on machine learning and deep learning

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Embodiment 1

[0031] Such as figure 1 As shown, a kind of three-dimensional detection platform software based on machine learning and deep learning described in the present invention, the operation steps of the platform software are as follows: S1: Signal trigger: get trigger signal by PLC and robot or get by Socket and serial port Trigger instructions, different processes are performed according to different trigger signals received; S2: Point cloud collection: point cloud collection usually comes from a 3D camera, or can be read from a file to simulate, and the collected point cloud image is usually in the format of a depth map , there are also 3D formats such as PLY, PTS, PTX, XYZ, etc. For point cloud files in different formats, a conversion is required to obtain point cloud data recognizable by the system; S3: point cloud processing: point cloud processing includes commonly used filters , registration, detection, segmentation, feature description and extraction, surface reconstruction ...

Embodiment 2

[0043] Such as Figure 7 As shown, compared with Example 1, as another embodiment of the present invention, a magnetic block 2 26 is affixed in the card slot 12, a magnetic block 1 25 is affixed to the clamping block 10, and the magnetic block One 25 and two magnetic blocks 26 fit together; during work, when the block 10 slides into the draw-in groove 12, the magnetic block between the magnetic block one 25 on the block 10 and the magnetic block two 26 in the draw-in groove 12 The suction effect makes the clamping block 10 firmly fixed in the clamping groove 12, further strengthening the fixing effect of the clamping block 10 on the 3D camera 1.

[0044] Working principle: When the 3D camera 1 and the bracket 27 need to be installed, slide the 3D camera 1 into the installation, and drive the gear 5 to rotate by rotating the shaft 4, so that the rack plate 6 meshed with the gear 5 along the T-shaped Rod one 8 slides upwards. At this time, the block 10 at the junction of the mo...

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Abstract

The invention belongs to the technical field of machine vision, and particularly relates to three-dimensional detection platform software and device based on machine learning and deep learning, and a methanol production method comprises the following steps: S1, signal triggering: obtaining a triggering signal through a PLC and a robot or obtaining a triggering instruction through a Socket and a serial port, different processes are carried out according to different received trigger signals; according to the three-dimensional detection platform software and device based on machine learning and deep learning, a rotating shaft is rotated to drive a gear to rotate, so that a rack plate in engaged connection with the gear slides upwards along a first T-shaped rod; at the moment, a clamping block located at the connecting position of the mounting frame and the control box penetrates through the mounting frame under the action of a hinge rod and slides into a clamping groove in the side wall of the 3D camera, fixing of the 3D camera is achieved, and then a worker can conveniently and rapidly fix the 3D camera to the mounting frame for use, and elastic potential energy of a first spring indirectly acts on the clamping block; and the fixing effect of the clamping block on the 3D camera is enhanced.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and specifically relates to a three-dimensional detection platform software and device based on machine learning and deep learning. Background technique [0002] With the rapid development of Internet technology, the data has become wider, the total number is larger, and the structure is becoming more and more complicated. If you want to know and understand a piece of data more clearly and quickly, the traditional two-dimensional plan data map The performance can no longer meet the demand, and the 3D detection platform technology can make the data presentation more intuitive and easy to understand, so it is widely used in various industries. [0003] At present, most of the general-purpose detection platforms on the market are for two-dimensional image processing, and few for three-dimensional image processing, especially the image processing platforms that incorporate machine learning and...

Claims

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Application Information

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IPC IPC(8): H04N13/204H04N13/106H04N13/296F16M11/04F16M11/06G06T7/50G06T7/10
CPCH04N13/204H04N13/106H04N13/296F16M11/04F16M11/06G06T7/50G06T7/10G06T2207/10028G06T2207/20081
Inventor 林福赐
Owner 厦门微图软件科技有限公司