AI GUARD System: How the AI Alarm Model Training System Lets Ordinary Users Customize Precise Alarms
No professional technical background required—complete alarm model training by following the process, effectively prevent false alarms, and improve the performance of building system-level AI and IoT applications.
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AI GUARD System Overview
AI GUARD Security and Safety Alarm System (AI GUARD SCURITY SYSTEM) is a comprehensive security alarm system based on a cloud-edge device connector architecture. The primary scenarios considered are building-level AI and IoT applications, achieving directions such as connecting everything, identifying everything, and intelligent alarms. Due to the nature of industry applications, the system design interface strives for simplicity so that users from different technical backgrounds can quickly get started.
AI GUARD Users and Platform Scenarios
The AI GUARD system is suitable for a variety of user scenarios, including company operations administrators, each company's respective operators, administrators, and others. In terms of platform deployment, platform administrators can manage multiple companies hosted on the platform; in terms of localized deployment, companies can deploy in the form of a local network, with other related devices connected via local LAN, ensuring data security and system stability.
AI GUARD System Composition
The AI GUARD system includes the following core components:
- AI GUARD CLOUD: Can be deployed online in the cloud or locally; or deployed on a local company LAN, providing flexible deployment options.
- AI Media Guard App (Edge Agent): Can run on a server or edge device (a tiny palm-sized microcomputer), enabling edge computing and real-time response.
- AI Model Training System: An AI-based training operating system, a model training system specially designed for customizing various precise alarms, effectively achieving precise alarms and preventing false alarms. Through the AI system, various material generation is achieved and the technical threshold for use is effectively avoided and reduced.
- Hikvision Synchronized ACS (Access Control) System: Android version, the most optimal solution for ultra-miniature long-term standby operation, achieving 7x24 all-weather operation.
- The company's self-developed LTE rural NFC card-tap solution and NFC WIFI card-tap solution: Mainly used for various transportation positioning, maritime and mountain forest operations, maritime and mountain forest supervision, capable of operating as independent devices without any other prerequisites.
- Other Android applications: Such as mobile phone NFC, mobile phone positioning, and other solution applications.
- Weak current intelligent management: Still in the experimental and research stage; the main solutions are intelligent risk prediction, energy saving, AI brightness perception, and other issues.
AI Alarm Model Training System: Letting Ordinary Users Customize Precise Alarms
In traditional security systems, customizing precise alarm models often requires professional technical personnel to perform complex parameter adjustments and training, which not only increases costs but also limits the flexibility and popularity of the system. The AI Alarm Model Training System (AI Model Training System) in the AI GUARD system is designed precisely to solve this pain point. It achieves material generation through the AI system, greatly lowering the technical threshold, allowing ordinary operating users to customize alarms according to the process, effectively achieving precise alarms and preventing false alarms.
Training Operation Process (Public Level)
The design philosophy of the AI Alarm Model Training System is "description is what you get." Users only need to follow the process provided by the system and describe the required alarm scenario, and the system will automatically generate the corresponding training materials and complete model training. The entire process requires no coding or in-depth understanding of AI technology, and the operation interface is simple and intuitive, so even operators without a technical background can easily complete it.
Specifically, users can customize alarm models through the following steps:
- Scenario Description: Users describe the scenario to be monitored in natural language or simple options, such as "detect personnel entering a restricted area" or "identify abnormal object movement."
- Material Generation: The system automatically generates diverse training materials based on the description, avoiding the past situation where models could not be implemented due to a lack of scenario materials.
- Model Training: The system uses the generated materials for model training and optimizes accuracy during the training process to ensure alarm accuracy.
- Testing and Deployment: Users can test the trained model, and after confirming the effect, deploy it to edge devices or the cloud with one click to achieve real-time alarms.
Functional Benefits and Usage Scenarios
The core value of the AI Alarm Model Training System lies in enabling ordinary users to participate in the customization of alarm models, thereby improving the effectiveness of the entire security system. For company operations administrators, they can quickly adjust alarm rules according to actual needs without waiting for technical team support; for operators, the simple process reduces the risk of operational errors; for administrators, the precise alarms and false alarm prevention functions provided by the system help improve safety management levels and reduce operating costs.
In building-level AI and IoT applications, the AI GUARD system achieves intelligent alarms by connecting everything and identifying everything. Whether it is an office building, an industrial park, or a residential community, users can use the AI Alarm Model Training System to customize precise alarms, effectively preventing false alarms and improving the efficiency and reliability of safety management.
In summary, the AI Alarm Model Training System of the AI GUARD system is an easy-to-use tool for ordinary users. It lowers the threshold for alarm model customization through AI technology, making precise alarms no longer the exclusive domain of professionals but a skill that every operating user can master.
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