Capture attendance, validate exceptions, approve overtime, and export payroll-ready reports — all in one enterprise platform.
Advanced facial recognition technology designed to provide a seamless, secure, and accurate method of verifying employee attendance. Eliminate time theft, buddy punching, and manual errors with 99.9% accuracy and enterprise-grade security.
Facial recognition technology is designed to provide a seamless, secure, and accurate method of verifying employee attendance. By using advanced algorithms to recognize and verify individual facial features, this feature ensures that only authorized personnel can clock in and out, eliminating the risk of time fraud.
Prevents buddy punching and fraudulent activities
Reliable identification in any condition
Less than 2 seconds clock-in/out
Seamless ERP system integration
Traditional attendance tracking methods are prone to errors, fraud, and inefficiency. Manual punch cards, swipe cards, and PIN-based systems can be easily manipulated, leading to time theft, buddy punching, and inaccurate payroll calculations. OnTime Cloud's facial recognition attendance system eliminates these problems by providing secure, accurate, and tamper-proof attendance tracking.
Traditional punch cards and swipe cards can be easily shared or stolen, allowing employees to clock in for absent colleagues. Facial recognition eliminates this fraud completely by ensuring only the registered employee can record attendance.
Manual time tracking is prone to human errors, leading to incorrect payroll calculations, disputes, and compliance issues. Automated facial recognition eliminates these errors with real-time verification and processing.
Employees may arrive late, leave early, or take extended breaks without detection. Facial recognition ensures accurate time records with real-time verification, preventing unauthorized time tracking.
Inaccurate attendance records can lead to labor law violations, audit failures, and regulatory penalties. Facial recognition provides audit-ready records with complete timestamps and verification data.
Card-based systems can be lost, stolen, or duplicated, allowing unauthorized personnel to access facilities. Facial recognition uses unique biometric identifiers that cannot be replicated or shared.
Manual attendance tracking requires hours of data entry and reconciliation, leading to delayed reports and decision-making. Facial recognition automates reporting with real-time data processing.
Our facial recognition attendance system uses advanced AI algorithms to identify and verify employees based on unique facial features. The process is simple, fast, and secure, taking less than 2 seconds for each clock-in or clock-out event.
During initial setup, employees' facial biometrics are captured and stored securely in encrypted format. This one-time process takes less than a minute per employee.
Employees stand in front of the facial recognition terminal or use mobile device camera. The system captures their face, matches it against the database, and records attendance instantly.
The system verifies identity in real-time using advanced AI algorithms, preventing unauthorized access and ensuring only registered employees can clock in or out.
Attendance data is immediately processed and stored in the cloud with enterprise-grade security, making it accessible to authorized personnel instantly from anywhere.
Comprehensive attendance reports are generated automatically, showing clock-in/out times, late arrivals, absences, overtime hours, and detailed analytics for management decisions.
Attendance data seamlessly syncs with payroll and ERP systems including SAP, ensuring accurate payroll processing without manual intervention or data entry errors.
| Feature | Facial Recognition | Card/PIN System | Fingerprint |
|---|---|---|---|
| Security | Cannot be duplicated | Can be shared/stolen | Unique biometric |
| Hygiene | Contactless | Touch required | Touch required |
| Accuracy | 99.9% | 100% if used correctly | 99% |
| Buddy Punching | Impossible | Common problem | Difficult |
| Speed | <2 seconds | <1 second | 2-3 seconds |
| Mobile Support | Full support | Limited | Limited |
| Remote Work | Supported | Not supported | Not supported |
Facial recognition attendance systems provide faster attendance capture, stronger governance and accountability, reduced disputes and manual reconciliation, support for shift and overtime policies, export-ready data for payroll and ERP systems, and secure access with complete audit logs. These benefits make facial recognition the preferred choice for modern businesses seeking efficient and reliable workforce management.
Clock-in/out takes less than 2 seconds. No need to carry cards, remember PINs, or touch surfaces. Contactless operation is hygienic and efficient, improving employee experience and workplace safety.
Facial recognition ensures only authorized personnel can access the system and record attendance. Complete audit trail with timestamps, locations, and confidence scores ensures accountability and compliance with labor regulations.
Automated attendance tracking eliminates manual entry errors and reduces disputes. Real-time data processing ensures accurate records, preventing payroll errors and saving administrative time.
OnTime Cloud's configurable SaaS platform allows each organization to set their own shift schedules and overtime rules. The system automatically calculates overtime based on configured policies and approval workflows.
Attendance data seamlessly syncs with payroll and ERP systems including SAP, allowing automatic export of GL journal entries. The system generates payroll-ready reports, eliminating manual data entry and reducing errors.
Role-based access control (RBAC) ensures only authorized personnel can view, edit, or export attendance data. Complete audit trail logs every action with timestamp, user, IP address, and system changes for compliance and dispute resolution.
Designed for organizations that require policy control, audit readiness, and stable long-term operations. OnTime Cloud's facial recognition attendance system is built for enterprise deployments with configurable tenant-specific policies, multi-tenant isolation, and scalable architecture. Perfect for organizations with complex shift schedules, overtime approval workflows, and strict compliance requirements.
OnTime Cloud's facial recognition attendance system includes enterprise-grade security features to protect your organization's data and ensure compliance with regulatory requirements. Our multi-tenant SaaS architecture provides secure isolation, role-based access control, complete audit trails, and data integrity protection for long-term operations.
Granular permissions for employees, supervisors, HR, and administrators. Control who can view, edit, or export attendance data with complete access management and audit trail of all access activities. Multi-level approval workflows ensure proper authorization for sensitive operations.
Every action logged with timestamp, user, IP address, and system changes. Immutable records for compliance, audit readiness, and dispute resolution with comprehensive reporting capabilities. Complete change history ensures transparency and accountability for all attendance data modifications.
Encrypted data transmission and storage using industry-standard encryption protocols. Regular integrity checks and validation ensure data accuracy and protection against tampering or unauthorized access. All data modifications require appropriate approvals based on configured workflows.
Automated daily backups with point-in-time recovery capabilities. Disaster recovery plan ensures business continuity. Secure multi-tenant SaaS architecture provides data isolation and redundancy, protecting your organization's attendance data from loss or corruption.
OnTime Cloud's enterprise-grade infrastructure provides secure data isolation between tenants, ensuring your organization's attendance data remains private and protected. Our multi-tenant architecture allows each customer to configure their own policies and workflows without affecting other tenants, while maintaining a single stable platform for long-term operations.
OnTime Cloud offers the most advanced and reliable facial recognition attendance system in Malaysia. Here's what sets us apart from competitors and traditional attendance tracking solutions.
Our facial recognition engine uses state-of-the-art AI algorithms with 99.9% accuracy rate, ensuring reliable identification even in challenging conditions such as poor lighting, different camera angles, or changes in appearance.
Facial biometric data is encrypted and stored securely in compliance with data protection regulations including PDPA. We never share biometric data with third parties and implement strict access controls to protect employee privacy.
From small businesses with 10 employees to large enterprises with thousands of employees across multiple locations, our system scales seamlessly without performance degradation or additional infrastructure requirements.
Local support team provides responsive assistance in Bahasa Malaysia and English, ensuring quick resolution of any issues. Our support team understands local business requirements and compliance regulations.
Trusted by 9,000+ organizations across Malaysia, including SMEs, large corporations, and government agencies. Our system has processed millions of attendance records with 99.9% accuracy and zero data breaches.
Every attendance record includes timestamp, location, facial match confidence score, and system metadata. Complete audit trail ensures compliance with labor regulations and provides evidence for audit purposes and dispute resolution.
Facial recognition attendance systems achieve 99.9% accuracy using advanced AI algorithms, significantly higher than manual tracking methods which are prone to human error. Unlike card-based systems that can be shared or stolen, facial recognition ensures only the registered employee can clock in or out.
Yes, OnTime Cloud's facial recognition system complies with PDPA (Personal Data Protection Act) and other privacy regulations. Facial biometric data is encrypted using industry-standard protocols, stored securely in the cloud, and never shared with third parties. Access is controlled through role-based permissions and all access activities are logged for audit purposes.
Yes, our facial recognition attendance system supports mobile devices, allowing remote employees and field staff to clock in/out using their smartphone cameras. The system works seamlessly across different locations and time zones, ensuring accurate attendance tracking regardless of where employees are working.
Enrollment is quick and simple - each employee's facial biometric is captured in less than a minute. The one-time enrollment process requires employees to stand in front of a camera or use their mobile device, after which their facial features are stored securely. Bulk enrollment can be completed within a day for organizations with hundreds of employees.
Yes, OnTime Cloud's facial recognition attendance system seamlessly integrates with major payroll and ERP systems including SAP, allowing automatic export of attendance data. The system generates payroll-ready reports and GL journal entries, eliminating manual data entry and reducing errors in payroll processing.
Our advanced AI algorithms can handle normal changes in appearance such as hairstyles, facial hair, glasses, or aging. However, if an employee's appearance changes significantly (e.g., major facial surgery), they can easily re-enroll by capturing a new facial image. The system maintains historical records and can match both old and new facial templates for accurate attendance tracking.
Get a demo tailored to your workforce policy and shift operations. Experience 99.9% accuracy facial recognition, configurable OT rules, approval workflows, and seamless SAP integration. Join 9,000+ organizations across Malaysia using OnTime Cloud for enterprise-grade attendance management.