close
Vision-based Q management System
Home / AI-ML / Banking / Case Study

Vision-based queue management system is a process of using artificial intelligence to measure and manage the queues of customers in banks. It involves using cameras and computer vision to capture, analyze, and count the number of customers in the queue, and to estimate their waiting time and service time. This service can help bank administrators to enhance customer service, by providing real-time information and feedback. It can also improve efficiency and reduce costs.

Benefits
  • Predict and measure queue lengths and waiting times and provide management information to help service levels and resource deployment.
Implementations
  • Banks- To avoid manual mistakes in serving customer base 
  • Financial institutions – To serve their customer base