Face biometric attendance for contractual staff for construction sites

Centralized and foolproof attendance solution across multiple construction sites
Get Darsa Ai to plug revenue leakages.

Remote Sites Attendance

Instant setup with Face recognition and Mobile geofencing

No Buddy Punching

AI-powered robust solution
for accurate attendance capturing

Payroll-Ready Reports and Analytics

Real-time view of all sites. Multiple reports and

Increase Workforce Productivity

Attendance policies, smart features, and Payroll-ready reports

Powerful yet easy-to-use features to streamline your frequently
changing construction staff time & attendance

Instant and Anywhere Onboarding

Let contract workers onboard on-sites with a single selfie.


Shift Scheduling

Plan in advance or automatically allocate shifts like general, day or night in
bulk for the entire organization or individually for each staff.

Geofenced Clock In

Clock in at approved locations or construction sites with staff phone or
through dedicated kiosk


No Hardware

You don’t need complicated hardware or HCM solutions to solve your Time
and Attendance problems.

Configure Darsa Ai's app on any Mobile or Tablet, and you are good to go.

More Practical Features

  Multiple reports with OT calculations

  Admin or supervisor view

  Time off (Leave) Management

  Integration with HRMS/Payroll

  Blacklist or auto-deactivate

  Govt ID capture

  Job mapping


Bring Transparency and Control

Explore Darsa for your organization.

Frequently Asked Questions

A face recognition attendance system is a type of biometric technology that uses artificial intelligence to automatically identify and verify individuals based on their facial characteristics. These systems are commonly used to track attendance in workplaces, stores, and other organizations. The system captures an image of the individual's face and then compares it to a database of pre-registered faces. If a match is found, the system records the individual's attendance. These systems can be integrated with existing time and attendance software and can also be used for security and access control purposes.
A face recognition attendance system uses AI and machine learning algorithms to identify and verify an individual's identity based on their facial features. It works by capturing an image or video of a person's face, then extracting facial features such as the distance between the eyes, nose, and mouth, and comparing them to a database of known faces. If the system finds a match, it will mark the person as present.
TYes, the technology is quite mature and very secure and private. The actual facial image is not required to be stored in the database to verify the identity. Instead, a unique hash code (comprising a numeric or alphanumeric string) is created for each facial image, and the matching happens against this code.

Yes, Darsa can easily handle multiple users and locations. Darsa is app-based and can be easily installed on any mobile device. So, you don't require complicated hardware or standalone attendance machines.

You can fix the mobile device on a flexible stand and move it to any location. Darsa is lean, portable, and scalable.

With Darsa's GPS-based geofencing attendance system, you can fence any location in terms of latitude and longitude to track staff attendance accurately and effortlessly.

Roaming or field staff can be given permission to mark attendance at one or more approved locations. Geofencing ensures the staff clocks in only at specific locations and not when they are out of range.

Darsa is highly precise and offers practically 100% accurate attendance. Darsa can accurately recognize an individual from among 50,000 users or more.

The inbuilt algorithm is such that it can accurately identify faces irrespective of any changes in demography and ethnicity.

Darsa can recognize faces with masks or changes in facial attributes like a beard, a new hairstyle, or with spectacles. Besides, it offers low light correction, aging effect rectification, group attendance, and face onboarding with just one picture.

Darsa is extremely simple to use. To get started, just download and install the android or iOS app on your mobile device. The staff can instantly onboard by snapping a selfie, and once they're done, they can mark attendance using their mobile phones or through a kiosk.

Darsa seamlessly integrates with any 3rd party HR/payroll software via API integration.

It tracks staff hours regularly, and the data is automatically streamlined with payroll.

With detailed time and attendance reports and analytics, Darsa makes payroll management easy. The error-free final payroll-ready reports eliminate the need for reconciliation and the creation of manual attendance reports. In addition, you can get daily, and monthly attendance reports directly from the app in a format of your choice.

You can refer to our demo videos and exhaustive list of FAQs to troubleshoot and resolve any issues. The videos and FAQs are in the Help and Support section, and you can access them via the Web Dashboard or the User App.

The FAQs will provide detailed information about Darsa features, specifications, and usage. However, if you still need help, contact Darsa Support at support@darsa.ai​ or call us at +91 9603456456.

Darsa is highly customizable and can be used out of the box. You can customize attendance policies as per your site and staff category. For example, you can assign shifts automatically, set late marks, half days, and shift timings, calculate overtime, and more.

Additionally, if you have any specific requirements, our team is available to evaluate the same, and we will try our best to customize the policies for you.

Yes, we have a free trial, and for that or any other queries, you can schedule a free demo or reach us at sales@darsa.ai, and we'll get back to you as soon as possible.

No, The staff can clock In/Out even with the internet, and you can continue tracking their attendance. Face recognition and GPS tracking also work with the internet. You no longer have to worry about buddy punching or time theft.

Yes, face biometric attendance systems are designed to work effectively in various lighting conditions. They can adapt to low-light environments or even handle situations where there are changes in lighting. However, extremely poor lighting conditions or excessive backlighting might affect the accuracy of the system

Modern face biometric attendance systems use advanced algorithms to detect and prevent spoofing attempts. They can detect liveness by analyzing micro-movements or asking users to perform specific actions during the authentication process. These measures make it difficult for fraudsters to bypass the system using photographs or videos.

Face biometric attendance systems are generally considered secure. However, like any technology, there is a possibility of vulnerabilities. To ensure security, it's important to choose a reliable system from reputable vendors, implement proper data encryption, and follow best practices for network security. Additionally, privacy concerns should be addressed by obtaining proper consent and complying with relevant data protection regulations.

  • Accuracy: Face recognition technology offers a high level of accuracy in identifying individuals, reducing the chances of errors or buddy punching.
  • Speed: The system can quickly process and match face images, enabling fast attendance tracking even in high-traffic areas.
  • Convenience: Individuals can simply look into the camera, eliminating the need for physical contact or ID cards, making the process seamless and user-friendly.
  • Security: Face biometrics provide a robust security measure as facial features are difficult to forge or replicate.
  • Scalability: The system can be easily scaled to accommodate a large number of users without compromising performance.

The contract workers or staff can onboard themselves with a single selfie, which is a huge relief, especially when workers change daily.

As Darsa is app-based and runs on mobile/tablet devices, onboarding can be instantly done at any customer site.

Darsa can also capture information from Government identity cards, making collecting information about a new worker or staff safer, simpler, and faster.