An early warning system based on AI video analysis and monitoring security

Abstract

The utility model provides a kind of early warning system based on AI video analysis and monitoring security, comprising: seat body;Shell, it is rotatably installed on the seat body, and can rotate on the seat body along first plane;Video acquisition camera, it is rotatably installed on the shell, and can rotate on the shell along second plane;Early warning camera, it is rotatably installed on the shell, and can rotate on the shell along third plane;The second plane with the third plane is perpendicular to the first plane.The utility model can quickly identify abnormal behavior and security risk, and early warning camera can start sound-light early warning immediately, greatly improve security response speed, effectively reduce security risk.

Description

Technical Field

[0001] This utility model relates to the field of monitoring system technology, and in particular to an early warning system based on AI video analysis and monitoring security. Background Technology

[0002] With the increasing demand for social security and prevention, surveillance and security systems have been widely used in various scenarios such as industrial parks, factories, residential communities, and commercial complexes, becoming an important infrastructure for ensuring the safety of personnel and property and maintaining normal order. However, traditional surveillance and security systems still have many technical pain points in actual operation, making it difficult to meet the demands of modern security for efficiency, accuracy, and immediacy. Specific problems are as follows:

[0003] Traditional surveillance systems often employ fixed-angle camera layouts, resulting in significant limitations in the monitoring perspective. To achieve comprehensive coverage of a target area, a large number of cameras are typically required, increasing equipment procurement and installation costs. Furthermore, the sheer number of cameras can lead to fragmented monitoring footage, necessitating substantial manpower for subsequent image switching and review. Even systems using adjustable-angle cameras often rely on manual control, failing to automatically adjust the monitoring range based on changes in the scene. When personnel or vehicles move into blind spots, critical information can be missed, creating security vulnerabilities. Utility Model Content

[0004] To address the aforementioned issues, this invention provides an early warning system based on AI video analysis and security monitoring.

[0005] To solve the above problems, the technical solution adopted by this utility model is as follows:

[0006] An early warning system based on AI video analysis and surveillance security includes:

[0007] seat body;

[0008] A housing, which is rotatably mounted on the base and is rotatable on the base along a first plane;

[0009] A video capture camera is rotatably mounted on the housing and can rotate along a second plane on the housing;

[0010] A warning camera is rotatably mounted on the housing and can rotate along a third plane on the housing;

[0011] Both the second plane and the third plane are perpendicular to the first plane.

[0012] Preferably, it further includes: a preprocessing module, disposed on the housing and connected to the video capture camera, for preprocessing the video data captured by the video capture camera.

[0013] Preferably, it further includes: an AI analysis module, connected to the preprocessing module, for receiving preprocessed video data and performing intelligent analysis to identify abnormal behavior and security risks.

[0014] Preferably, the warning camera is connected to the AI ​​analysis module and is used to issue corresponding warning information based on the analysis results issued by the AI ​​analysis module.

[0015] Preferably, it further includes: a data storage module, which is connected to the video acquisition camera, the preprocessing module and the AI ​​analysis module respectively, for storing video data, preprocessed data and analysis result data during system operation.

[0016] Preferably, it further includes: a user interaction module, which is connected to the AI ​​analysis module, the early warning camera and the data storage module respectively, for realizing user interaction with the system.

[0017] Preferably, the warning information is an audible and visual warning information.

[0018] The beneficial effects of this utility model are as follows:

[0019] 1. By rotating the base and housing together, and combining the independent angle adjustment of the video acquisition camera and the early warning camera in the vertical plane, it achieves 360° horizontal and multi-height vertical coverage of the target area without blind spots, breaking the limitations of traditional fixed monitoring; at the same time, the AI ​​analysis module can quickly identify abnormal behavior and safety hazards, and the early warning camera can immediately activate the sound and light warning, forming a warning and deterrent on site, greatly improving the security response speed and effectively reducing security risks.

[0020] 2. The data storage module classifies, stores, and backs up raw videos, preprocessed data, and analysis results to ensure data security and support multi-dimensional retrieval. The user interaction module provides a variety of operation interfaces, making it convenient for users to monitor in real time, receive alerts, manually control equipment, and adjust system parameters. This simplifies daily operation and maintenance processes and provides complete data support for subsequent security incident review and accountability, thereby improving overall security management efficiency. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the overall structure of this utility model;

[0022] Figure 2 This is a side view of the present invention.

[0023] Figure 3 This is a top view of the present invention;

[0024] In the picture: 1. Base, 2. Shell, 3. Video capture camera, 4. Warning camera. Detailed Implementation

[0025] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0026] In the description of this utility model, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this utility model and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model.

[0027] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this utility model, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model based on the specific circumstances.

[0028] Reference Figure 1-3An early warning system based on AI video analysis and security monitoring includes a base 1. The base 1, as the system's fundamental support component, is made of high-strength, durable material, possessing stable load-bearing capacity and resistance to external environmental interference. It can be directly fixed to the ground, wall, or brackets. Its core function is to provide a stable base for the rotating installation of the housing 2, ensuring that the housing 2 remains structurally stable during rotation along the first plane. This prevents vibration, wind, and other factors from affecting the accuracy of the monitoring angle, laying the foundation for the stable operation of subsequent video acquisition and early warning functions.

[0029] The housing 2 features a waterproof, dustproof, and impact-resistant design, integrating the system's core circuit modules and connecting components internally. This effectively protects internal components from damage caused by rain, dust, and external impacts. The housing 2 is rotatably mounted above the base 1, allowing for 360° rotation along the first plane (horizontal plane). Precise angle adjustment is achieved through a built-in drive mechanism (such as a stepper motor), enabling coverage of the entire horizontal range of the target area according to monitoring needs, breaking the limitations of traditional fixed monitoring perspectives. Simultaneously, the housing 2 provides a mounting platform for the video acquisition camera 3 and the early warning camera 4, ensuring independent angle adjustment for both on their surfaces.

[0030] The video capture camera 3 is rotatably mounted on the housing 2 and can be adjusted vertically along the second plane (a vertical plane perpendicular to the first plane). The adjustment range covers multiple angles from horizontal downwards to vertical upwards, enabling flexible capture of video footage from different heights and positions within the target area. Whether it's low-altitude personnel activities or vehicle movement, or high-altitude equipment status and environmental changes, clear capture can be achieved. This camera possesses high-definition imaging capabilities and can operate stably in various lighting environments, including strong daylight and low-light nighttime, ensuring that the captured video footage has clear details and providing high-quality raw material for subsequent data preprocessing and AI analysis.

[0031] The early warning camera 4 and the video capture camera 3 are mounted together on the housing 2. The camera can be independently adjusted along a third plane (a vertical plane, perpendicular to the first plane and at a complementary angle to the second plane). Its angle adjustment range complements that of the video capture camera 3, supplementing the monitoring area of ​​the video capture camera 3. Furthermore, after the AI ​​analysis module identifies anomalies, the camera can quickly adjust its angle to align with the location of the anomaly, achieving precise focusing on the abnormal area. In addition, the early warning camera 4 integrates an audible and visual warning component. Upon receiving a warning command from the AI ​​analysis module, it can immediately activate the audible and visual warning function. Through a combination of a high-decibel warning sound and a high-brightness warning light (such as a red strobe light), it provides a direct warning to on-site personnel and deters abnormal behavior (such as unauthorized entry or dangerous operations), buying time for subsequent security personnel to intervene.

[0032] The preprocessing module is fixedly installed inside the housing 2 and directly connected to the video capture camera 3 via a dedicated line. Its core function is to perform real-time preprocessing on the raw video data transmitted from the video capture camera 3, eliminating interference information in the raw data and optimizing data quality. Specific processing includes: filtering noise (such as snowflakes and color interference) in the video image to improve image purity; adjusting brightness balance to address uneven brightness caused by changes in lighting, ensuring consistent overall brightness; performing synchronous correction on video frames to avoid image stuttering and misalignment caused by transmission delays and device jitter; and simultaneously, converting and compressing the video data format to reduce data size while ensuring data integrity, facilitating subsequent transmission to the AI ​​analysis module and storage in the data storage module, thereby improving the overall system operating efficiency.

[0033] The AI ​​analysis module interacts with the preprocessing module in real time via a data interface, receiving high-quality preprocessed video data and dynamically analyzing it based on a built-in intelligent algorithm model. The core capability of this module lies in identifying abnormal behavior and safety hazards. Specific analysis areas include: identifying abnormal personnel behavior (such as climbing over fences, running quickly, or prolonged stays in restricted areas), identifying abnormal vehicle conditions (such as illegal parking, speeding, or unauthorized entry), and identifying environmental safety hazards (such as flames, smoke, water accumulation, and abnormal equipment displacement). The AI ​​analysis module possesses self-learning and optimization capabilities, continuously adjusting algorithm parameters based on changes in the actual scenario during long-term operation to improve recognition accuracy and response speed. This ensures that abnormal behavior or safety hazards are identified immediately upon occurrence, generating corresponding analysis results (such as anomaly type, location, and severity). Simultaneously, the analysis results are transmitted to the warning camera 4, the data storage module, and the user interaction module.

[0034] The data storage module establishes stable data links with the video capture camera 3, the preprocessing module, and the AI ​​analysis module to comprehensively store various types of data during system operation. Specific stored content includes: raw video data captured by the video capture camera 3 (categorized and stored by timestamp for easy retrospective retrieval), optimized video data output by the preprocessing module (serving as a reference for AI analysis), and analysis results data generated by the AI ​​analysis module (including detailed information such as the time, location, type, and processing status of abnormal events). This module features large-capacity storage and data security protection, employing a data backup mechanism to prevent data loss due to equipment failure, unexpected power outages, or other factors. It also supports multi-dimensional data retrieval functions by time range, data type, and event type, facilitating users' subsequent querying of historical data and providing comprehensive data support for security incident review and accountability.

[0035] The user interaction module connects to the AI ​​analysis module, early warning camera 4, and data storage module via wired or wireless connections, enabling users to operate and monitor the system comprehensively. This module provides an intuitive user interface (such as a local touchscreen, remote client software, or mobile app), allowing users to perform the following operations: view real-time monitoring footage transmitted from video capture camera 3 and early warning camera 4 to understand the real-time status of the target area; receive abnormal early warning information pushed by the AI ​​analysis module (including text prompts, pop-up windows, and sound alerts) to promptly understand the details of abnormal events; manually control the sound and light warning function of early warning camera 4 (such as starting, stopping, and adjusting the warning intensity); query historical data in the data storage module, including historical video playback and historical abnormal event records; and simultaneously, set system parameters (such as AI analysis sensitivity, preset camera rotation angle, and early warning thresholds) to adjust the system operating mode according to actual security needs, ensuring the system always adapts to specific application scenarios.

[0036] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.

Claims

1. An early warning system based on AI video analysis and security monitoring, characterized in that, include: base(1); The housing (2) is rotatably mounted on the base (1) and is rotatable on the base (1) along a first plane; A video capture camera (3) is rotatably mounted on the housing (2) and can rotate along a second plane on the housing (2); The warning camera (4) is rotatably mounted on the housing (2) and can rotate on the housing (2) along a third plane; Both the second plane and the third plane are perpendicular to the first plane; It also includes: a preprocessing module, which is disposed on the housing (2) and connected to the video acquisition camera (3), for preprocessing the video data acquired by the video acquisition camera (3); It also includes: an AI analysis module, connected to the preprocessing module, for receiving preprocessed video data and performing intelligent analysis to identify abnormal behavior and security risks; The warning camera (4) is connected to the AI ​​analysis module and is used to issue corresponding warning information based on the analysis results issued by the AI ​​analysis module.

2. The early warning system based on AI video analysis and security monitoring according to claim 1, characterized in that, Also includes: The data storage module is connected to the video acquisition camera (3), the preprocessing module and the AI ​​analysis module respectively, and is used to store video data, preprocessed data and analysis results during system operation.

3. The early warning system based on AI video analysis and security monitoring according to claim 2, characterized in that, Also includes: The user interaction module is connected to the AI ​​analysis module, the early warning camera (4) and the data storage module respectively, and is used to realize the interaction operation between the user and the system.

4. The early warning system based on AI video analysis and security monitoring according to claim 1, characterized in that: The warning information is an audible and visual warning.

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