Artificial intelligence PCBs play a critical role in security equipment, as their powerful computing capabilities and efficient data processing capabilities make security equipment more intelligent, precise and real-time. Below are the specific applications and functions of artificial intelligence PCBs in security equipment:
1. Video Surveillance and Image Processing
Artificial intelligence PCBs are widely used in smart cameras and surveillance systems to support high-performance video processing and analysis. For example:
1) Real-time Video Analysis: AI chips (such as GPUs or NPUs) process surveillance video locally to detect abnormal behavior, intrusions, or suspicious objects in real-time.
2) Face Recognition: AI PCBs support sophisticated face recognition algorithms for access control and identity authentication. For instance, in the company access control system, authorized personnel are quickly identified through surveillance cameras.
3) Target Tracking: AI PCBs supports automatic target tracking function, which can continuously capture and record the behavior path of specific objects or personnel.
Application Scenario: For example, smart security cameras with AI PCBs can recognize vehicle license plates, identify illegal parking behaviors, or monitor the movement of people in specific areas.
2. Intrusion Detection and Alarm Systems
Artificial intelligence PCB can quickly process data from multiple sensors (such as infrared, radar, and acoustic sensors), improving the response speed and accuracy of intrusion detection devices. For example:
1) Pattern Recognition: Analyze abnormal sounds or vibrations through AI algorithms to accurately distinguish normal activities from intrusion behavior.
2) Dynamic Environmental Adaptation: AI PCBs adjust detection parameters based on environmental changes such as lighting, temperature, and humidity, reducing false alarm rates.
Application Scenario: Smart door and window sensors use AI PCB can accurately identify behaviors such as window opening, window knocking, and glass breaking, and trigger alarms in time.
3. Behavior Analysis and Risk Prediction
AI PCBs support advanced behavioral analysis capabilities to predict potential risks by learning activity patterns in the environment. For example:
1) Abnormal Behavior Detection: In the monitoring area, the artificial intelligence PCB can identify abnormal behavior and automatically alarm, such as wandering, running suddenly, gathering, etc.
2) Crowd Density Analysis: In public places, AI PCB can monitor crowd density in real time and detect crowding or stampede risks in a timely manner.
Application Scenario: For example, in shopping malls or subway stations, the monitoring system supported by AI PCB can detect abnormal crowd gathering in advance and notify security personnel.
4. Edge Computing and Real-time Response
AI PCBs support edge computing, which transfers complex computing tasks from the cloud to local devices. For example:
1) Reduced Latency: Process video and sensor data on local devices to achieve millisecond-level responses.
2) Enhanced Privacy Protection: Avoid uploading sensitive data to the cloud to protect user privacy.
Application Scenario: Home security cameras have built-in AI PCBs that identify intrusions locally and sound alarms without waiting for cloud processing.
5. Smart Security Robots
Artificial intelligence PCBs empower security robots and improves their autonomous navigation and target recognition capabilities. For example:
1) Path Planning: AI PCBs calculate the optimal path by acquiring environmental data from LIDAR or cameras, thus enabling autonomous patrols.
2) Target Identification and Tracking: Identify potential threat targets (such as illegal intruders) and track them, and transmit videos and alarms to the control center in real time.
Application Scenario: Patrol robots at airports or industrial parks can monitor around the clock and respond quickly to emergencies.
6. Integration of Internet of Things (IoT) and Security Systems
Artificial intelligence PCBs support the linkage between security equipment and smart home systems to form a complete security ecosystem. For example:
1) Multi-device Collaboration: Smart cameras, access control systems, smoke detectors, and more are connected via AI PCBs to an IoT platform for unified management.
2) Remote Control and Monitoring: Through AI PCB, users can remotely view monitoring images, receive alarm information or control security equipment through mobile phones or computers.
Application Scenario: In a smart home security system, AI PCBs enable remote door unlocking, viewing real-time surveillance footage, and syncing with the lighting system to activate warning lights when intrusion is detected.
7. Environmental Adaptation and Continuous Learning
Artificial intelligence PCBs enable security devices to have self-learning capabilities and continuously optimize security strategies. For example:
1) Learning Environment Features: AI PCBs optimize recognition algorithm to reduce false alarms (e.g., distinguishing between a pet’s movement and an intrusion).
2) Risk Prediction Based on Historical Data: By analyzing past data, AI PCBs can predict risks, such as identifying periods with higher frequencies of abnormal activity, indicating the need for increased patrols.
In summary, artificial intelligence PCBs enable security equipment to not only perform traditional monitoring and alarm functions but also utilize artificial intelligence for advanced data analysis and decision support, providing more intelligent and efficient security protection for homes, businesses, and public spaces.
HOYOGO is a professional artificial intelligence PCB supplier, provides professional PCB services to over 500 customers worldwide. Our PCBs are used in various fields, including automotive, medical, telecommunications, industrial, and Artificial Intelligence. Since 2022, we have started offering professional AI PCB products for the AI industry. In 2024, the number of customers purchasing AI PCBs from us continued to grow. If you have any related needs, please contact us!