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An intelligent human-computer interaction Internet of Things control module

A technology of Internet of Things control and human-computer interaction, applied in the computer field, can solve the problems of target image pollution, poor adaptive performance, incomplete target image, etc.

Active Publication Date: 2021-07-06
ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

One of the shortcomings of modern image recognition technology is poor adaptive performance. Once the target image is polluted by strong noise or the target image has a large defect, ideal results are often not obtained.

Method used

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  • An intelligent human-computer interaction Internet of Things control module
  • An intelligent human-computer interaction Internet of Things control module
  • An intelligent human-computer interaction Internet of Things control module

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Experimental program
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Embodiment Construction

[0033] Below by specific embodiment content of the present invention is described:

[0034] The intelligent human-computer interaction Internet of Things control module of the present invention has a system architecture such as figure 1 As shown, the IoT control module consists of eight parts, which are mobile computing device hardware layer, Flask backend, internal API module, process control module, video and audio output module, GPIO control module, HTML template rendering module and peripheral devices. The following sub-modules are explained:

[0035] 1 Mobile computing device hardware layer:

[0036] The present invention takes Raspberry Pi 4 as a development prototype, and its hardware parameters are:

[0037] 2 Flask backends:

[0038] The present invention is designed as a B / S architecture, based on Python's Flask module, which provides web background services for the entire application, including the realization of view functions, calls to local APIs, rendering of ...

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PUM

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Abstract

The invention discloses an intelligent human-computer interaction Internet of Things control module, including a mobile computing device hardware layer, a Flask backend, an internal API module, a process control module, a video and audio output module, a GPIO control module, an HTML template rendering module and peripheral devices; When in use, connect the peripheral devices to the GPIO control module and the video and audio output module. This device is connected to the network. The administrator user connects to the same LAN through an external computer to enter the configuration interface of the device, and completes the operation of the Internet of Things control by dragging the corresponding module visually. The process and configuration process are simple and fast, realize intelligent automation, and reduce the processing complexity of IoT device access; realize the whole life cycle of IoT data from generation to recovery, facilitate the quick access of home IoT devices, and improve the quality of different IoT devices. The efficiency of data aggregation and environmental protection is obvious.

Description

technical field [0001] The invention belongs to the technical field of computers, relates to image-based object detection technology, and in particular to an intelligent human-computer interaction Internet of Things control module. Background technique [0002] Computer vision-based target recognition technology refers to the technology of using computers to process, analyze and understand images to identify targets and objects in various patterns. It is a practical application of deep learning algorithms. At this stage, image recognition technology is generally divided into face recognition and commodity recognition. Face recognition is mainly used in security inspection, identity verification and mobile payment; commodity recognition is mainly used in the process of commodity circulation, especially unmanned shelves, smart retail cabinets, etc. Unmanned retail area. [0003] The traditional image recognition process is divided into four steps: image acquisition→image prep...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/0481G06F16/25G06F16/957G06N3/04G10L17/22H04L12/24H04L29/08
CPCG06F3/0481G06F16/25G06F16/957H04L67/025H04L67/06H04L67/12H04L41/0876G10L17/22H04L67/75G06N3/045
Inventor 柏财通崔翛龙李爱
Owner ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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