
Smart Security
The intelligent security solution integrates technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analysis, and cloud computing to build an intelligent security system that covers monitoring, early warning, identity verification, environmental monitoring, and other aspects. It is suitable for home, community, industrial, and urban security scenarios. The following are the core content and technical implementation:
1、 Core functional modules
Intelligent monitoring and real-time warning
By using high-definition cameras, thermal imaging equipment, and AI behavior analysis technology, 24/7 monitoring is achieved, supporting facial recognition, vehicle recognition, and abnormal behavior detection, triggering real-time alerts and pushing them to management personnel
Edge computing technology reduces data transmission delay and improves localization response speed
Multimodal authentication
Support multiple authentication methods such as fingerprint, face, iris, and RFID card, combined with access control system to achieve hierarchical management of permissions, and record access logs for auditing purposes
In emergency situations, the fire protection system can be linked to automatically evacuate
Environmental and Emergency Monitoring
Real time monitoring of temperature, smoke, gas leakage and other risks through sensor networks, and automatic activation of emergency plans (such as linked fire protection systems, emergency lighting)
Integrate smart home devices (such as smart door locks and smoke alarms) to achieve home level security linkage
2、 Key technology applications
AI video analysis
Video Content Analysis (VCA) technology based on deep learning, realizing suspicious activity tagging, personnel flow statistics, and object legacy detection
Support intelligent retrieval of historical videos and event tracing
IoT and Cloud Collaboration
Devices are interconnected through IoT protocols, and data sharing enhances security collaboration efficiency
Cloud platform for unified management of multiple devices, providing encrypted storage and remote access capabilities
Big data prediction and decision-making
Analyze historical data to establish a security model, predict potential risks, and optimize security strategies
Combined with mobile applications, users can view monitoring screens or receive alerts in real time through their mobile phones
3、 Typical application scenarios
Home security
Integrated intelligent door locks, monitoring cameras, and environmental sensors, supporting remote viewing and emergency alarms (such as fire and intrusion)
Case: The whole house intelligent security system can be linked to the property management center, automatically making phone calls to notify abnormal events
Industrial and Urban Security
Deploy unmanned aerial vehicle inspection, robot security and other solutions to expand monitoring coverage
The intelligent security command center integrates human and technical defense resources to achieve visual scheduling and rapid response to incidents
Community and commercial complex
Linkage between access control and monitoring system, combined with facial recognition to achieve seamless passage and blacklist warning
Analyzing crowd density through big data to prevent public safety incidents such as stampedes
Videos
Intelligent Parking Lot Management Platform
Non motorized vehicle monitoring
Smart Count of Passenger/Visitor
Search for pictures with pictures
Monitoring of accumulated water
Monitoring of damage to green plants and green spaces