Coexist with your Technology ecosystem to make it more robust, efficient and productive

ATTENDANCE WITH FACE RECOGNITION

Employee attendance with face recognition and detection –

Capturing attendance of Employee is an important day to day activity of Human Resource department of any organization. People tend to miss either to use finger based or touch the card to mark the attendance daily on arrival or while leaving from office. Which leads to manual overrides in the existing attendance process.

CmdShift Consulting has launched an attendance system which captures human faces and mark the presence into the system, It works automatically and keep identifying faces based on the existing employee profiles and hence mark their attendance.

While enlisting the face, it catches the relative face position, size, and state of the user’s eyes, nose, cheekbones, and jaw highlights. So even sometimes the representative wears the exhibitions and getting fat additionally not influenced. The framework can splendidly coordinate and confirm the employee.

We have delivered face recognition based attendance application to several companies in India, US and Europe.

The application gets integrated with existing IP camera of the organization. So in-case the organization already has the compatible IP camera and can provide access to our application through APIs, our team can integrate the same IP camera with our application.

Our application is ready to integrate with any third party HRMS or Payroll applications provided the company allows the integration.

USER ACCESS CONTROL WITH FACE RECOGNITION

Employee User Access Control with face recognition and detection –

Company follows a hierarchy having various roles and their roles & responsibilities define their access to various area / cabin within the organization premises.

Our face recognition algorithm learns fast to recognize the employee faces and auto access of door opening is provided to the employee the way it is defined by the human resource authority of the organization.

We do provide secured REST APIs access to enable it to communicate with third party HRMS or Payroll applications.

Employment Interview with Face Identification

Our face recognition and identification algorithm helps recognising and identifying the candidates during video interviews. There are multiple reports where candidates applying for the job and during the video interview is not the same. Hence based on the requirement of several Hiring agencies and senior executives from Human resources departments of various organizations, CmdShift Consulting has taken this initiative to extend our Face Recognition and Identification algorithm to provide a REST API based service which can be integrated with various online Video based Interview platform and identify the candidates based on their faces and record saved with the Human Resource department.

We analyse the existing isolated software / technology channels and make them more automated, seamless and enable a system which requires less human interference

AI Based Emotion Tracking

A deep learning algorithm trained to read a photographed image of a human face and return the probability percentages of that face displaying each of Ekman’s seven emotional expressions: anger, contempt, disgust, fear, happiness, sadness, and surprise. (Neutral expressions are also coded.)

It’s unique output allows users, such as counselors, coaches, HR personnel, researchers and advertisers to see the degree to which each emotion is expressed over the course of a recorded conversation.​

Benefits of emotion analysis are as follows –

Agile decision-making

Real-time data helps your company making the right decision to improve employee satisfaction at the right time – continuously.

Happier teams

Employees who can address their feedback, feel more comfortable, are more engaged and are more un-like to leave their employer.

Identify the potential for improvements

Company offers a structured analysis of the gathered data which empowers your company to understand strengths, weaknesses and relevant topics. We recognize organizational strengths and weaknesses.

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Mobile App Development

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Features

  • Mobile App
  • Mobile App
  • Mobile App

Future Features

  • Mobile App
  • Mobile App
  • Mobile App