Artificial intelligence monitoring device

Abstract

The utility model discloses an artificial intelligence monitoring device which comprises a shell, a camera is fixedly arranged at the front end of the shell, a control cavity is formed in the shell at the lower end of the camera, a control processing unit is fixedly arranged in the control cavity, and an artificial intelligence unit is connected with the control processing unit. The artificial intelligence unit is connected with a storage unit, the control processing unit is also connected with a wireless transmission unit, the wireless transmission unit is connected with an antenna, the wireless transmission unit accesses the Internet and is connected with a monitoring end, and the monitoring end is connected with a PC end and an intelligent terminal. And the control processing unit is also connected with an emergency power supply unit for supplying power to the control processing unit, the artificial intelligence unit and the storage unit. According to the utility model, a function of normally identifying a moving object in a power-off or network fault stage is realized; the current situation that normal use can be achieved only by connecting a server online in the prior art is changed, and practicability is greatly improved.

Description

Technical Field

[0001] The utility model relates to the technical field of artificial intelligence devices, in particular to an artificial intelligence monitoring device. Background Technique

[0002] At present, cameras that can track moving objects usually refer to automatic tracking cameras, and their background technology integrates a variety of advanced scientific and technological elements to achieve automatic recognition, tracking, and recording of moving objects.

[0003] Specifically, it includes mature computer vision and image processing: Automatic tracking cameras use computer vision technology to identify and track moving objects by processing and analyzing video images. In this process, key technologies such as image segmentation, feature extraction, object detection, and object tracking are involved. Through these technologies, the camera can identify moving objects in the image and track them in real time.

[0004] Sensor technology: Sensors built into the camera, such as infrared, ultrasonic, thermal induction, or visual sensors, can sense the position and speed of moving objects. These sensors provide real-time and accurate information for the camera, enabling it to quickly respond and track moving objects. Algorithm and control system: The algorithms and control systems built into the camera are the key to achieving automatic tracking. The algorithm can process and analyze sensor data to determine the position and movement trajectory of the tracking target. The control system is responsible for automatically adjusting the focal length, field of view, and movement direction of the camera according to the calculation results of the algorithm to ensure that the target is always located at the center of the field of view.

[0005] Cloud technology and big data: In large-scale monitoring systems, cloud technology and big data technology are usually used to achieve unified management and control of multiple cameras. These technologies can centrally store and analyze the video data of each camera, improving the overall performance and efficiency of the monitoring system. At the same time, through cloud platforms and big data analysis, in-depth mining and utilization of monitoring data can also be achieved, providing more information and support for decision-makers.

[0006] At present, the technologies for mobile tracking of the above cameras are all very mature, but there is a problem. The recognition modules of the current cameras for tracking moving objects are all wirelessly connected to the backend server. Only when connected to the backend server can object tracking be carried out. When the camera suddenly loses power or there is poor network connectivity, the moving object tracking function will fail. In this way, in the case of critical power outages or network failures for a period of time, the traditional function of tracking moving objects will fail, greatly reducing the practicality of the entire device, resulting in the product being unable to perform its functions at critical moments, and thus giving some opportunities to saboteurs;

[0007] In view of the above problems, an artificial intelligence monitoring device is required. Content of the Utility Model

[0008] The purpose of the present utility model is to provide an artificial intelligence monitoring device. The present utility model stores a trained automatic tracking model that is already well-known to those skilled in the art in the housing through an artificial intelligence unit. When a network failure or poor network occurs, the artificial intelligence unit is directly used to control the judgment of moving objects and perform tracking, and data is stored through the storage unit. When a power outage occurs, the emergency power supply unit directly supplies power, and then the artificial intelligence unit is combined to perform offline identification and tracking of moving objects, and data is stored through the storage unit. After the power supply and network are restored, the data in the abnormal situation stage is transmitted to the server through the wireless transmission unit, so as to realize the function of normally identifying moving objects during a power outage or network failure; it changes the traditional situation that requires online connection to the server to be used normally, and greatly improves the practicability.

[0009] The present utility model is realized as follows:

[0010] An artificial intelligence monitoring device includes a housing. A camera is fixedly arranged at the front end of the housing. A control cavity is formed in the housing below the camera. A control processing unit is fixedly arranged in the control cavity. An artificial intelligence unit is connected to the control processing unit. The artificial intelligence unit is connected to a storage unit. The control processing unit is also connected to a wireless transmission unit. The wireless transmission unit is connected to an antenna. The wireless transmission unit accesses the Internet and is connected to a monitoring end. The monitoring end is connected to a PC end and intelligent terminals. An emergency power supply unit for supplying power to the control processing unit, the artificial intelligence unit, and the storage unit is also connected to the control processing unit. The control processing unit uses an Arm 7 type control processing unit, and the wireless transmission unit uses a CONN-DTU-4G type 4G DTU.

[0011] Furthermore, the antenna is fixedly arranged at the bottom end of the housing. A rotating shaft is fixedly connected to the center of the bottom shell of the housing. A fixed column is rotatably connected to the rotating shaft. An installation chassis is fixedly arranged at the bottom end of the fixed column. Installation holes are formed in the installation chassis.

[0012] A cover shell is fixedly arranged on the housing through bolts.

[0013] Furthermore, the intelligent terminals are smartphones or tablet computers, and there are multiple intelligent terminals. It is convenient for staff to connect to the server through the intelligent terminals for data query and processing, with simple, convenient, fast operation and high efficiency.

[0014] Compared with the prior art, the beneficial effects of the present utility model are as follows: An artificial intelligence unit is added inside the housing to store the trained automatic tracking model that is already well-known to those skilled in the art. When a network failure or poor network connection occurs, the artificial intelligence unit is directly used to judge and track the moving object, and the data is stored through the storage unit. When a power failure occurs, the emergency power supply unit is directly used to supply power, and then the artificial intelligence unit is combined to identify and track the moving object offline, and the data is stored through the storage unit. After the power supply and network are restored, the abnormal situation stage data is transmitted to the server through the wireless transmission unit, so as to realize the function of normally identifying the moving object during the power failure or network failure stage; it changes the traditional situation that it can only be used normally by connecting to the server online, and greatly improves the practicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present utility model, the drawings required for the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present utility model, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a schematic structural diagram of the device of the present utility model;

[0017] Figure 2 It is a schematic system structure diagram of the present utility model;

[0018] Figure 3 It is a circuit diagram of the control processing unit of the present utility model;

[0019] Among them, fixed column 1, mounting chassis 2, mounting hole 21, rotating shaft 3, camera 4, control cavity 40, cover shell 41, bolt 42, antenna 5. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] To make the objectives, technical solutions and advantages of the embodiments of the present utility model clearer, the technical solutions in the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model. Obviously, the described embodiments are some but not all of the embodiments of the present utility model. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present utility model without making creative efforts belong to the scope of protection of the present utility model. Therefore, the detailed description of the embodiments of the present utility model provided in the accompanying drawings is not intended to limit the scope of the present utility model claimed, but merely represents selected embodiments of the present utility model. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present utility model without making creative efforts belong to the scope of protection of the present utility model.

[0021] Please refer to Figures 1-3 , an artificial intelligence monitoring device, comprising a housing, on which a cover housing 41 is fixedly provided through bolts 42.

[0022] At the front end of the housing, a camera 4 is fixedly provided. Below the camera 4, a control cavity 40 is formed in the housing. A control processing unit is fixedly provided in the control cavity 40. An artificial intelligence unit is connected to the control processing unit. The artificial intelligence unit is connected to a storage unit. The control processing unit is further connected to a wireless transmission unit. The wireless transmission unit is connected to an antenna 5. The wireless transmission unit accesses the Internet and is connected to a monitoring end. The monitoring end is connected to a PC end and intelligent terminals. An emergency power supply unit for supplying power to the control processing unit, the artificial intelligence unit and the storage unit is further connected to the control processing unit. The control processing unit adopts an Arm 7 type control processing unit. The wireless transmission unit adopts a CONN-DTU-4G type 4G DTU.

[0023] The intelligent terminals are smart phones or tablet computers, and there are multiple intelligent terminals. This facilitates the staff to connect to the server through the intelligent terminals for data query and processing, with simple, convenient, fast operation and high efficiency.

[0024] In this embodiment, the antenna 5 is fixedly provided at the bottom end of the housing. A rotating shaft 3 is fixedly connected to the center of the bottom case of the housing. A fixing column 1 is rotatably connected to the rotating shaft. An installation chassis 2 is fixedly provided at the bottom end of the fixing column 1. Installation holes 21 are formed in the installation chassis 2.

[0025] The above are only the preferred embodiments of the present utility model and are not intended to limit the present utility model. For those skilled in the art, various modifications and variations can be made to the present utility model. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present utility model shall be included within the protection scope of the present utility model.

Claims

1. An artificial intelligence monitoring device, characterized in that: It includes a housing, at the front end of the housing, a camera (4) is fixedly provided, at the lower end of the camera (4), a control cavity (40) is opened on the housing, a control processing unit is fixedly provided in the control cavity (40), the control processing unit is connected to an artificial intelligence unit, the artificial intelligence unit is connected to a storage unit, the control processing unit is further connected to a wireless transmission unit, the wireless transmission unit is connected to an antenna, the wireless transmission unit accesses the Internet and is connected to a monitoring end, the monitoring end is connected to a PC end and intelligent terminals, and the control processing unit is further connected to an emergency power supply unit for supplying power to the control processing unit, the artificial intelligence unit and the storage unit.

2. The artificial intelligence monitoring device according to claim 1, wherein The control processing unit adopts an Arm 7 type control processing unit, and the wireless transmission unit adopts a CONN-DTU-4G type 4G DTU.

3. An artificial intelligence monitoring device according to claim 1, characterized in that, The antenna is fixedly provided at the bottom end of the housing, at the center of the bottom shell of the housing, a rotating shaft (3) is fixedly connected, the rotating shaft (3) is rotatably connected to a fixed column (1), at the bottom end of the fixed column (1), an installation chassis (2) is fixedly provided, and installation holes (21) are opened on the installation chassis (2).

4. An artificial intelligence monitoring device according to claim 1, characterized in that, A cover shell (41) is fixedly provided on the housing through bolts (42).

5. An artificial intelligence monitoring device according to claim 1, characterized in that, The intelligent terminals are smartphones or tablet computers, and there are multiple intelligent terminals.

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