UAE
ReactJS, Python, SQL Server, Python Libraries
Manufacturing
Due to such a massive employee base, the client had concerns about tracking the attendance of the employees. The challenges they faced were:
Inability to monitor in real-time if employees are present
The huge administrative effort to process paper attendance
Chances of manual errors due to heavy paperwork
Unable to prevent time theft or buddy punching
Late payroll
Recognizing the challenges of the client, SPEC INDIA came up with the AI-powered face recognition solution called SAFR (Secure Accurate Facial Recognition). It uses computer vision and machine learning algorithms to mark the attendance of the employees. The goal was to introduce a high-tech solution that would eliminate the challenges and provide real-time attendance views. Face recognition is achieved using machine learning and the basic pipeline used for it is as follows:
The technology works by scanning a person’s face “in the wild”, means the system will detect the faces even when it is in motion, under poor lighting or at different angles.
Cameras installed at the door detect the face
SAFR will compare the detected face with the images in the database and make the prediction
Will mark the attendance and open the door only if the detected face is matched with the image in the database
Tracking of total time spent in the office
Data for the payroll system
Through this system, the admin will be able to calculate salary and prepare attendance reort
Looking for a customized Attendance Management System solution according to your need? Schedule a call to help you solve your company’s attendance-related obstacle.
Our detailed and accurate research , analysis, and refinement leads to a comprehensive study that describes the requirements, functions, and roles in a transparent manner.
We have a team of creative design experts who are apt at producing sleek designs of the system components with modernized layouts.
Our programmers are well versed with latest programming languages, tools, and techniques to effectively interpret the analysis and design into code.
Quality is at the helm of our projects. We leave no stone unturned in ensuring superior excellence and assurance in all our solutions and services.
We have a well-defined, robust, and secure launch criteria that offers us a successful implementation clubbed with detailed testing, customer acceptance and satisfaction.
Easy tracking of employees
Employees don’t need to carry extra things for attendance or door opening
Quick and efficient verification of an employee
Use of infrared cameras significantly boosted the level of accuracy
More reliable and harder to trick
Easy to integrate with existing security infrastructures
Increased productivity of administrative department as they got rid of time-consuming manual attendance
Inherently vulnerable to proxies and manual errors
“SPEC House”, Parth Complex, Near Swastik Cross Roads, Navarangpura, Ahmedabad 380009, INDIA.
“SPEC Partner”, 350 Grove Street, Bridgewater, NJ 08807, United States.
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