yolov5 Computer Vision Project

Here are a few use cases for this project:

1. Bank Queue Management: The model can be used to monitor bank queues, identifying number of customers waiting, and calculating waiting times. It can also distinguish bankers and customers, helping in more efficiently allocation of resources.

2. Customer Service Training: Using the model, companies can analyze customer service interactions by identifying and differentiating between customers and bankers in video recordings. This is particularly useful in the training and evaluation of customer service representatives.

3. Security and Surveillance: The model can be employed in security camera footage analysis to identify unusual activities in banks, like spotting a person who stayed in the bank for an unusually long time or someone who is not a customer or a banker.

4. Crowd Analysis: In events or public spaces, the model can be used to count the number of people and distinguish between different categories of people (like customers and bankers) which gives insights into crowd composition, behavior, and flow.

5. Customer Behavior Analysis: In a retail or banking environment, the model can be applied to understand customer behavior, like their interaction with various banking services, their response to advertising displays in bank, or navigation patterns within the bank.