Computer Vision and The Future Of Work?

The mounting applications of computer vision and machine vision are revitalizing the current work architecture. According to the market and markets report, the computer vision market is expected to rise to USD 17.4 billion by 2024. The vision-based robotic system and application-specific computer vision systems are transforming the workplace through their emerging technologies. It includes video surveillance, vision-based biometric authentication, digital documentation, etc.  

To keep up the competitive spirit and encourage employees, employers are mounting the integration of intelligent systems. The comprehensive approach of integrating digital technologies to reinvent the employees’ experience is paving the way for a productive and adaptive workforce. 

Why does Computer Vision affect Workplace operations?

Changing dynamics around the globe are demanding new changes in the current workforce. And with the passing of time, employees are seeking new ways of performing assigned work. During the digital transformation phase, these two factors call for new talent and organizational strategies. By putting up computer vision at the heart of industry operations and human intelligence to strive for competitiveness, industries are scaling up the opportunities. Redesigning the organization’s architecture is adding advantages to maximize the workforce outputs and make industries more agile.

Improved Businesses with Computer Vision Application?

The transformation of today’s workforce is creating a virtual work experience that meets employees’ expectations and employers’ demands. The below mentioned are different ways of how computer vision, artificial intelligence, and data science technologies map the future of the work.

How our face recognition technology is molding this space:

With the availability of an abundant number of applications in the market, it is always hard to pick the best, especially in the space of image recognition and digital documentation. The computer vision and AI-powered facial recognition API have tremendous applications that revitalize the industry space and help in outperforming regular operations at rapid speed. The below mentioned are a few;

1. Video Surveillance:

A computer vision-enabled security system helps in monitoring and engaging employees through video conferencing. Behavior determination and multiple object tracking are active fields. Behavior determination helps in determining the mood and engagement level of employees while performing tasks so that organizations can re-work their operations for better outputs. Object recognition, action recognition, crowd analysis, etc., are other prominent areas where computer vision is used to enhance employee performance. 

2. Vision-Based Biometric Authentication:

Vision-based biometric authentication provides secure and reliable authentication of employees. Irrespective of physical presence, the employees can virtually log in through the remote workspace. Vision-based authentication verifies user identity through their unique biological retina, this kind of biometric authentication is more secure than multi-factor authentication. 

The FaceReg application leverages deep learning and other data science technologies to identify the user image. The application runs distinct anomalies before delivering the end result. The applications ensure the accuracy of the image identified and provide information to prevent fraud mitigations.

3. Digital Documentation:

3D facial recognition is now owning digital document signing space. What if we tell you that you can use your face id to sign digital documents? With FaceReg, a sophisticated biometric authentication system, you can sign digital documents enabling your face id as a verification identity. It reduces online fraud and confirms the signatory is authorized by the user in person and it has a higher level of credibility.

It is a known fact that Computer vision advances biometric authentication traditional practice. Up-gradation technology is transforming the work architecture that we use today. Integrated technology provides security, reliability, and credibility over other biometric applications. 

The application of facial recognition is more than a trend today. As industries undergo digital transformation and customer preferences evolve, data science-integrated facial authentication software is a necessity today. FaceReg, our on-demand facial recognition solution, can provide quick but advanced data science capabilities that meet new challenges and explore new opportunities ahead. To know more about our product and to book a demo, click here.

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