Automating Access with Face Recognition

• Enacted Cognitive AI touchless access for attendance and seamlessly integrated access tracking.
• Slashed costs by removing the need for cards while bolstering security against spoofing threats.
• Completed the project within 6 weeks, ensuring effortless adoption and minimal disruptions.
• Elevated employee experiences through direct walk-in access, automated attendance processes, and heightened security measures.

With organizations opening post-COVID and employees returning to offices, we found that accessing premises using ID cards posed a serious risk of spreading viruses and threatened employee safety. The ID card access systems also ran the risk of being tampered with, affecting login hours and, therefore, employee salaries.

As an innovation-first company, we wanted to reimagine access control by leveraging the latest technologies in AI/ML to build a centralized contactless identity verification system. Our vision was to deploy an advanced system that would be touchless, accurate, and smart to improve our employees' experience and the security of our office premises.

Rapidops’ engineering and innovation team conducted discovery sessions with our employees and HR teams to understand their issues with the current access systems. After learning about these challenges, we went to the ideation room to build a roadmap for the system. By mapping out the employee journey and identifying the key areas that could be improved to enhance their experience, we developed a customized face recognition engine and access control platform using Cognitive AI technologies.

Within six weeks, our team delivered a real-time face recognition engine and access control platform that enabled our employees to replace access ID cards with a hands-free experience, resulting in better employee satisfaction, operational efficiencies, and secure premises.