AI-Powered Facial Recognition Security System

Our client old system used cards, which had security problems like lost cards and people using others' cards. They needed a solution that could handle many requests at once without slowing down. The new system also had to work well in different lighting and for people of all backgrounds. On our side, we needed to train an AI model to be very accurate and to protect privacy by following laws. The system had to work fast, taking less than 2 seconds to approve someone. We also had to make it easy for security staff to use the system without much training.

We built a facial recognition system using both cloud computing and edge devices to improve performance. The system was trained to recognize people in different conditions, such as lighting and angles. We also added features to detect fake photos and videos. The design was modular, so it could easily grow and be maintained. We made sure the system worked with SecureTech's current hardware and had an easy-to-use interface. To protect privacy, we encrypted all the biometric data and had rules for deleting unnecessary data. We worked closely with SecureTech to get feedback and made sure the system fit their needs. We also provided training for their staff.

The new system helped SecureTech save time and money. Entry times were 73% faster, and security breaches dropped by 92%. The company saved $85,000 a year by not needing physical cards and reduced staff by 30% because of automation. Employees liked the new system, with 87% preferring it over the old card-based one. The system could also be expanded to more locations without extra costs. Lastly, it made regulatory reporting easier, saving 45 hours per month and avoiding fines that used to cost $120,000 a year.