Search
Close this search box.

AI Video Surveillance

 

In a factory environment, FocusAI leverages its advanced AI technology to achieve precise monitoring and automated management. It provides solutions for various needs, including personnel attendance, vehicle management, and area security monitoring, as follows:

 

 

1.Personnel Attendance and Time Clock Management

  • Facial Recognition Clock-InFocusAI clock in using facial recognition. This feature helps prevent issues such as buddy punching or missed clock-ins that can occur with traditional time clock methods.
  • Contactless Clock-In:Reduces the risk of cross-infection caused by touching attendance devices, making it especially suitable for needs during epidemic prevention and control periods.
  • Data IntegrationAutomatically records attendance data and can integrate with HR Integrates with the system to generate attendance reports, reducing the workload of human resources management.
 

2. Vehicle and License Plate Recognition Management

  • Vehicle Access ManagementFocusAI The camera automatically recognizes vehicles entering and exiting the factory and records their license plate numbers, achieving automated vehicle management.
  • Blacklisted Vehicle Interception:By integrating license plate recognition technology, the system can automatically check if a vehicle is on the allowed entry list and issue alerts for unauthorized or blacklisted vehicles.
 

 

 3. 機敏、受限或危險區域闖入偵測

  • Area Intrusion MonitoringFocusAI 可設定特定區域為機敏(如實驗室或研究開發中心)、受限或危險區域(如易爆區),當有未授權人員或車輛進入時,系統會立即發出警報並通知管理人員。
  • Line-Crossing Detection:Virtual guard lines can be set up in restricted areas, allowing the system to accurately detect and record any line-crossing behavior, preventing personnel from accidentally entering hazardous zones.
 

 

4. Loitering Detection

  • Abnormal Loitering AlertFocusAI The camera can detect abnormal loitering of personnel or vehicles within the factory, such as in hazardous areas or exit passages where prolonged presence is not permitted. The system will automatically issue an alert.
  • Automated Processing Workflow:Upon detecting loitering, the system can automatically notify the relevant departments to intervene, preventing disruptions to the production line or potential safety incidents.
 

5. Integrated Management Platform

  • Real-Time Monitoring and Notification:All detection results and alarm information can be displayed in real time on the centralized management platform, providing managers with comprehensive visualized data.
  • Historical RecordsFocusAI The system saves historical records of events, helping to optimize safety management in the factory.
  • Integration with Existing Systems:Can be integrated with the factory’s existing ERPHRand security systems for seamless integration, enabling one-stop management and enhancing overall operational efficiency.
 
 

藍牙區域監控

As more and more factories or enterprises are looking for a comprehensive tracking of assets (including people and objects) to improve workflow management efficiency, TCIT's Area Surveillance System utilizes Bluetooth 4.0 low power consumption beacon technology to provide enterprises with two different levels of tracking solutions:

  1. Proximity tracking is used to understand the current area or general location of the asset, the area can be as large as 20M*20M~50M*50M depending on its visibility, when the asset enters into the control area or leaves the area abnormally, the system will immediately alert you.
  2. Real-time triangulation is used for continuous point-to-point tracking of assets within a specific area, and TCIT provides multiple positioning algorithms to optimize positioning results for static or active assets.

For people and equipment tracking applications, Bluetooth 4.0 Low Energy Beacon technology provides a cheaper, more reliable and simpler solution than traditional RFID technology. By further integrating face recognition and 3D object modeling technologies for the above people and object tracking applications, TCIT is now the market leader in the two-factor Internet of Things (IoT).