Hawkwatch for Bar's & Restaurant's Space

Hawkwatch
for Bar's & Restaurant's Space

In today’s dynamic hospitality industry, managing staff attendance, monitoring guest activity, and ensuring on-premise security are vital. Hawkwatch transforms these operations with advanced AI-driven facial recognition, replacing traditional methods like swipe cards, manual logs, or fingerprint scanners to deliver seamless, contactless, and reliable monitoring for bars and restaurants.

Modules

Regular & Non-Regular Customers

Overview:

This module identifies and categorizes every visitor detected by Hawk Watch’s face recognition system. It automatically differentiates between regular, new, and flagged customers, offering valuable insights into customer behavior and frequency of visits.

The Dashboard is the live command center of Hawkwatch AI. It provides instant visibility into all camera events, employee attendance, unknown face detections, and overall surveillance status. Designed for real-time monitoring and operational clarity, the dashboard highlights key stats with live feeds and visual cues.

Features:

Customer visit logs with time and date — categorized as regular or non-regular — with facial snapshots and entry details. Allows quick recognition of VIPs and returning guests, improving customer experience and operational efficiency.

Real-time face recognition feed - Present and unmatched employee view - Daily statistics: total persons, productive employees, attendance, and active cameras - Quick identification of flagged or unknown faces

Customer visit logs with time and date categorized as regular or non-regular with facial snapshots and entry details. Allows quick recognition of VIPs and returning guests, improving customer experience and operational efficiency.

User Cases:

Enhance customer loyalty programs by instantly recognizing repeat patrons while improving engagement and service experience for first-time visitors.

Live workplace monitoring - Instant alert,awareness - Staff movement tracking

Summary Dashboard

Overview:

Summary Dashboard presents analytical insights from past days using visualizations like pie charts,heatmaps,and line graphs. It's designed for weekly reviews and strategic planning.

Features:

Donut charts for: Persons, Productivity, Area-wise, Camera-wise detection - Employee Productivity Heatmap by day/hour - Hourly detection line graph (Productive vs Unproductive)

User Cases:

Workforce behavior insights - Identifying peak hours-Weekly attendance and productivity summaries

Camera Feed

Overview:

Camera Feed offers a comprehensive view of individual face recognition events, matched with stored identities. It helps in verifying facial matches and observing live detections from various camera zones.

Features:

Side-by-side image comparison (Feed vs Related Image) - Similarity score with manual override:"Same Person" or "Different Person" - List of faces captured with timestamps and locations

User Cases:

Face match auditing-Manual corrections Reviewing specific time-based incidents

Customer Time Monitoring

Overview:

The Customer Time Monitoring module tracks each guest’s entry, stay duration, and exit in real-time using facial recognition. This helps optimize seating management, service timing, and overall crowd flow inside the restaurant or bar.

Features:

Live entry/exit tracking, duration-based insights, and visual timelines help managers understand occupancy patterns and customer engagement levels.

Donut charts for: Persons, Productivity, Area-wise, Camera-wise detection - Employee Productivity Heatmap by day/hour - Hourly detection line graph (Productive vs Unproductive)

User Cases:

Optimize table turnover and service efficiency by analyzing guest stay duration and managing peak-time crowds effectively.

Workforce behavior insights - Identifying peak hours - Weekly attendance and productivity summaries

Staff Attendance

Overview:

The Staff Attendance module enables contactless, accurate, and real-time attendance marking for all employees. Using AI-based face recognition, it eliminates manual errors and prevents proxy entries.

Features:

Facial attendance logs with timestamps, shift-based tracking, and attendance reports. Provides easy export options for payroll and compliance.

User Cases:

Ensure timely staff presence, simplify shift validation, and maintain accurate payroll and compliance records through automated face recognition.