As one of the fastest-growing technology and analytics companies in the United States, with multiple office locations, hundreds of employees, and 4000+ clients across the globe, Rapidops wanted to rethink the access control for our offices by replacing old-school access cards with AI-powered automated access control.
Key
Takeaways- Implemented Cognitive AI touchless access for attendance & integrated access tracking
- Reduced costs by eliminating cards & enhancing security against spoofing
- Delivered in 6 weeks, ensuring smooth adoption & minimal constraints
- Enhanced employee experiences with direct walk-in access, automated attendance & improved security
Challenge
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.
The Solution
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.
By allowing for touchless entry and exit at all access points for all office locations, the system elevated employee access experience. Employees no longer had to wear access cards or worry about losing or forgetting them. Designed with smart detection capabilities, the system could also detect multiple employees in a frame and faces in low light.
4. Centralized Operations
As a final result, the new system simplified operations and prevented data loss & duplication by providing a centralized repository for all identification data and access management. The system supports all the latest features of an access control system like:
Powered by Deep Learning & Cognitive AI
The system was built with Cognitive AI technologies like real-time object detection, deep learning, and on-demand model training that allowed for higher accuracy of results. Our engineers used open-source technologies like OpenCV, MTCNN, and FaceNet to detect face edges from input images, extract features and train the model on these to recognize employees' faces.