CIAS
C-DOT Intelligent Attendance System, a cutting-edge facial recognition-based solution designed to streamline and automate attendance management. The system includes a fast and touchless attendance marking procedure running on an edge device and a web portal to view and manage the attendance records. The system is engineered to enhance accuracy, efficiency, and security in attendance tracking, making it an ideal solution for various organizational settings.
- Automated Attendance: CIAS automatically captures images of users through in-built camera, detecting human faces within a specified region of interest (ROI). It identifies the person using state of the art face recognition algorithms and records attendance without any manual intervention.
- Fast and Accurate Edge Computing: The low-latency face recognition algorithm runs efficiently on the edge device with very high accuracy.
- Comprehensive Hardware & Software Integration:
- Hardware: The system includes the CIAS edge device and a central server, ensuring robust and reliable performance.
- Software: A system application runs seamlessly on both the edge device and the central server, handling the complex processes of facial recognition and data management.
- Management Portal: CIAS comes with a secure and user-friendly web-based GUI portal, allowing administrators to easily configure, manage, and report user data. The portal also provides real-time attendance statistics and the ability to enable or disable staff for facial attendance for various users.
- Connectivity-agnostic Robustness: The attendance making is possible even if network connectivity is down and all the relevant data will be synced as soon as network is restored.
- Staff Registration and Continuous Learning: The system employs a staff registration module to incorporate the facial data of staff along with a continuous learning process, improving recognition accuracy over time.
- Spoofing Detection: The system is equipped with advanced spoofing detection capabilities, identifying and halting attendance attempts made with recorded videos, images, or printouts. Any fraud attempts are reported to the admin, and attendance is temporarily suspended.
- CIAS Edge Device:
- Frame: Compact box design
- Processor board: CPU: Quad-core ARM processor GPU: 128 cores Memory: 4 GB Storage: 16 GB eMMC + 64 GB Micro SD Card.
- Camera: 12 MP, Motorized auto focus
- Connectivity: Gigabit Ethernet, 4G Module.
- Display: 10.1 inch HDMI LED Touch-screen
- Also includes: Speakers (3W/1.5W 8 ohms) x 2 White LED Flash Light Relay module for access control Ambient light sensor
- Software Compliance: OneM2M standard for IOT interfaces
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CIAS Central Server:
- CPU: Intel® Core™ i7-12th Generation or higher, 8 core
- Memory: 32 GB DDR4 3200 MHz or higher
- Storage: SSD - 512 GB M.2 Solid State Drive
- Networking: Integrated 10/100/1000 (Gigabit) Ethernet
- OS: Ubuntu 20.0.04 LTS
• CIAS is suitable as an attendance system for various environments such as corporate offices, educational institutions, government facilities, and many more. • CIAS can also be configured as an access control system for restricted access points in various organizations.
- Automated Attendance: CIAS automatically captures images of users through in-built camera, detecting human faces within a specified region of interest (ROI). It identifies the person using state of the art face recognition algorithms and records attendance without any manual intervention.
- Fast and Accurate Edge Computing: The low-latency face recognition algorithm runs efficiently on the edge device with very high accuracy.
- Comprehensive Hardware & Software Integration:
- Hardware: The system includes the CIAS edge device and a central server, ensuring robust and reliable performance.
- Software: A system application runs seamlessly on both the edge device and the central server, handling the complex processes of facial recognition and data management.
- Management Portal: CIAS comes with a secure and user-friendly web-based GUI portal, allowing administrators to easily configure, manage, and report user data. The portal also provides real-time attendance statistics and the ability to enable or disable staff for facial attendance for various users.
- Connectivity-agnostic Robustness: The attendance making is possible even if network connectivity is down and all the relevant data will be synced as soon as network is restored.
- Staff Registration and Continuous Learning: The system employs a staff registration module to incorporate the facial data of staff along with a continuous learning process, improving recognition accuracy over time.
- Spoofing Detection: The system is equipped with advanced spoofing detection capabilities, identifying and halting attendance attempts made with recorded videos, images, or printouts. Any fraud attempts are reported to the admin, and attendance is temporarily suspended.
- CIAS Edge Device:
- Frame: Compact box design
- Processor board: CPU: Quad-core ARM processor GPU: 128 cores Memory: 4 GB Storage: 16 GB eMMC + 64 GB Micro SD Card.
- Camera: 12 MP, Motorized auto focus
- Connectivity: Gigabit Ethernet, 4G Module.
- Display: 10.1 inch HDMI LED Touch-screen
- Also includes: Speakers (3W/1.5W 8 ohms) x 2 White LED Flash Light Relay module for access control Ambient light sensor
- Software Compliance: OneM2M standard for IOT interfaces
-
CIAS Central Server:
- CPU: Intel® Core™ i7-12th Generation or higher, 8 core
- Memory: 32 GB DDR4 3200 MHz or higher
- Storage: SSD - 512 GB M.2 Solid State Drive
- Networking: Integrated 10/100/1000 (Gigabit) Ethernet
- OS: Ubuntu 20.0.04 LTS
• CIAS is suitable as an attendance system for various environments such as corporate offices, educational institutions, government facilities, and many more.
• CIAS can also be configured as an access control system for restricted access points in various organizations.