Facial Attendance System for Construction Industry

Application Flow

Technology Stack

Problem Statement


Data inaccuracies: Manual attendance systems are prone to errors and inaccuracies, such as incorrect data entry, missing information, and lost or damaged records.


Time-consuming processes: Tracking attendance manually can be a time-consuming process, especially if there are a large number of employees working on the site.


Limited data availability: With manual attendance systems, it can be difficult to get real-time data about employee attendance, making it challenging to address issues or make decisions in a timely manner.


Lack of centralized system: With manual attendance systems, there is a lack of a centralized system to track employee attendance, making it challenging to manage and analyze data effectively.


Vulnerability to fraud: Manually tracking attendance makes it easier for workers to create false attendance and reports, which can have a negative impact on the accuracy and reliability of the data

Solution Overview


Automating the attendance monitoring system is essential for companies and sites where security and contactless collaboration are needed.


We have worked with the client in developing an AI-powered facial attendance monitoring system to avoid data tampering and eliminate proxies.


The system captures daily attendance using facial recognition technology and updates the count against the work breakdown structure (WBS).


In case there is a new workman with the minimum records (trailing mail), the site engineer will enroll the workman with the app.


Once enrolled, the new worker details are automatically pushed to the screening platform for completing the screening procedure.

Business Impact


Increased efficiency: By automating the time-keeping process, the system can save time and reduce errors compared to manual systems.


Improved accuracy: The system can accurately track the attendance of workers, even in challenging conditions like construction sites.


Enhanced security: The system can help reduce buddy punching and other forms of time fraud.


Better record-keeping: The solution can store attendance records in a centralized database, making it easier to access and analyze data.


Cost savings: By reducing the need for manual labor and reducing errors, the system can help save costs in the long run.

Testimonials of Our Happy Clients

Related Success Stories

Related Insights

An Overview of Image Segmentation -Part 2

In the first part of this article, we have discussed about the basics of Image Segmentation, its process…

Detection of PPE Compliance on Construction Site Using Computer Vision

A safety vest/PPE is an essential supplement for anyone taking part in any industrial activities or a construction site. A Safety Vest is necessary when…

AI for Industrial Safety and Health

AI has the potential to revolutionize the way organizations approach industrial safety and health. By leveraging advanced algorithms and machine learning models…

Key Features

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0






Projects for
reputed Clients


5 yrs

in AI & ML

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.
Connect With Us!