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This topic describes the [Food and Beverage Store Solution].
Solution Background
With the improvement of people's living standards, the frequency of eating out is increasing, and the catering industry is also increasing. But there are many safety problems in restaurant management. The restaurant has a large number of people, which makes it difficult to manage and is prone to unexpected situations, such as theft, drunken disturbances, meal complaints, verbal disputes and even fighting. In addition, restaurants will not invest too much money in video surveillance from the perspective of operating costs. As a result, an affordable, and intelligent video surveillance distribution model is ideal for use in this environment.
Pain points in restaurant management: There is a large number of people in and out of the restaurant, which is difficult to manage and is prone to unexpected situations.
Pain points in clarity: The surveillance devices in some restaurants are old, and the images are not clear enough. The quality of the video is poor at night. It is difficult to verify the surveillance after emergencies such as theft, drunken disturbances, and complaints about meals.
High-quality customer churn: New employees are not familiar with VIP customers, and VIP customers fail to enjoy corresponding services, leading to high-quality customer churn.
Solution Design
This solution uses one NVR to connect multiple cameras and install cameras at the entrances and exits, cashiers, dining areas, and kitchens of restaurants to implement intelligent and efficient management of restaurants.
Improve customer experience:
Add cashier windows in time when there are too many people in peak hours.
Identify old/VIP customers.
Optimized store operations:
Remotely inspect and check restaurants anytime and anywhere on the app to learn about restaurant operations in real time.
Face-based attendance of restaurant staff to reduce the attendance workload of managers.
Add blocklists for people who eat overlord meals.
Standardize the dress code of kitchen staff.
HD video and work supervision:
1 Ultra-WDR technology, which enables users to view all objects in the range
2 Extra265 encoding, which effectively optimizes storage
3 Reminders of work specifications.
Detailed operation data:
Collecting statistics on in-store passenger flow
Export employee attendance reports by day, month, or year.
Core Scenario 1: Entrance and Exit: Refined Passenger Flow Statistics
The NVR800 is used to statistics on the number of incoming and outgoing passengers and export passenger flow statistics reports by day, month, and year. Administrators can properly arrange food procurement and service personnel based on the reports, implementing intelligent personnel management and control.
Core scenario 2: cashier: accurate identification of high-quality customers
Precisely identify VIP customers, leaving traditional card management methods, and providing customers with more efficient and convenient service experience. Uses starlight intelligent conch, all-day audio and video recording, and real-time analysis of queue lengths. When there are too many queues, alarms are reported in a timely and the administrator is notified to add a window, improving user experience.

You can also use the mobile app to preview live videos and play back videos anytime, anywhere to learn about the operation status of the store.
Core scenario 3: dining area: 24-hour situation monitoring and timely handling of exceptions
The dining area is the focus of security prevention, theft, drunken disturbances, meal complaints, verbal disputes and even fights occur in this area. The starlight intelligent conch is used for 24-hour situation monitoring and audio and video recording.
Core Scenario 4: Kitchen: Intelligent monitoring provides timely alarms to prevent malicious intrusions.
The kitchen uses the starlight intelligent conch camera to achieve 24-hour situation monitoring

Solution Features
Customer flow statistics: The NVR can export customer flow statistics reports by day, month, or year to guide restaurant staff scheduling and facilitate intelligent operation.
Accurate identification of high-quality customers: Provide preferential activities for VIP customers through repeated customer analysis and VIP customer identification to consolidate high-quality customers.
Queuing management: collects statistics on the number of queues in the waiting area. If the number of queues is too large, the system notifies the administrator to add a window in time to improve user experience.
Remote management: Users can view live video preview and video playback on mobile apps anytime and anywhere to learn about in-store operations in real time.
Full-time situation monitoring: HD restoration of the onsite situation after an abnormal event occurs, helping to locate the cause of the event.
Thanks for reading!


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