Staff detection allows management to understand how present their staff is inside and outside their restaurants. This model can be used to improve employee productivity and customer satisfaction. curbFlow uses a variety of methods to machine learn staff at client sites such as uniforms and where they're located at the store.

Staff engagement uses computer vision to understand when and how often staff is engaging with non-staff, presumably customers. This model is used to improve employee productivity and customer satisfaction. With this real-time data, management can take steps to improve staff training and evaluations as well as identify model staff members who can be deployed to train other existing and future staff.

In the restaurant industry, door counting can be used to understand how busy the restaurant is and how many people are coming in and out. This information can help restaurants optimize their staffing and ensure that they are providing the best possible experience for their customers.

Restaurants can benefit from people counting data to better understand customer traffic, optimize staffing, and improve the customer experience. For example, you can use curbFlow's software to see how long customers wait in line, which tables turn over the quickest, and more.

The restaurant industry is a competitive one, and every advantage that a restaurant can get can make a difference. One such advantage is visitor engagement monitoring. By understanding how visitors interact with the different elements of your restaurant, you can make changes to improve the overall experience.

Occupancy monitoring in restaurants is the process of tracking and recording the number of people present in the restaurant at any given time. It can also be used to track the occupancy rates of specific tables. This information can be used to help manage the flow of customers, optimize staffing levels, and ensure that the restaurant is operating at capacity.