Revolutionizing Access Control

Discover how we transformed access control with a modern AI-powered facial recognition system, enabling seamless, touchless entry across multiple locations.

Overview
Services
How We Did It
Impact

Services

Overview

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.

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.

Services

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.

Touchless Access Platform

Powered by advanced facial recognition algorithms and real-time edge processing, the system enables secure, contactless authentication with minimal latency. High-resolution cameras with depth and infrared sensors ensure accurate detection across varied conditions. GPU-accelerated edge devices handle real-time processing, reducing server dependency and supporting offline operation. The platform integrates via RESTful APIs and features adaptive learning, enabling seamless enterprise deployment while maintaining high standards for performance, scalability, and security.

Core Highlights

Automated Attendance

Any information regarding attendance, timesheet, and HR-related activities are now recorded in the system, preventing identity spoofs and assisting shared access while enhancing security. Our team also built a web interface that allows the HR team to enter and manage each employee's attendance and profile.

The system was built using cognitive AI technologies, including real-time object detection, deep learning, and on-demand model training, which enabled higher accuracy of results. Cognitive AI further enhances the system by incorporating contextual awareness and pattern recognition, allowing it to intelligently interpret behavior and detect anomalies such as spoofing attempts or unauthorized access patterns. Our engineers utilized open-source technologies, including OpenCV, MTCNN, and FaceNet, to detect facial edges in input images, extract features, and train the model to recognize employees' faces.

Visitor & Delivery Management

Visitors and delivery personnel can be pre-registered or enrolled on arrival through quick facial scans, eliminating the need for physical badges or paperwork. Real-time authentication at access points accelerates entry while maintaining strict security controls, reducing bottlenecks and contact points. Automated logging of visitor identities, timestamps, and movement data enhances auditability and compliance. Additionally, configurable access permissions enable role-based or time-restricted entry, ensuring that visitors and couriers have access only to designated areas.

Centralized Data Management & Operations

As a final result, the new system simplified operations and prevented data loss by centralizing data management and operational control within a secure, unified platform. All biometric data, access logs, and visitor records are stored in a centralized, encrypted database with strict access controls, ensuring data integrity and compliance with privacy regulations. This consolidation eliminates data silos and reduces inconsistencies, enabling real-time synchronization across all connected devices and access points. The system supports all the latest features of an access control system, like:

Impact

Our AI-powered access control system not only enhanced security, but also redefined workplace efficiency and user convenience. By eliminating physical IDs, the solution reduced administrative overhead, improved compliance tracking, and enabled real-time insights into facility usage. Most importantly, the seamless, touchless experience fostered a safer, more modern work environment, increasing employee satisfaction and setting a new benchmark for smart, automated access control.

50%

Reduction in errors

90%

Improvement in efficiency

500+

Employees data analysis

30%

Decrease in security overhead