Hawkwatch for Office Space

Hawkwatch
for Corporate Office

Hawkwatch for Office Space

In today’s fast-paced corporate environments, managing employee attendance, ensuring office security, and maintaining compliance are critical. Hawkwatch revolutionizes these processes with AI-powered face recognition, replacing outdated systems like biometric touch devices, manual registers, or RFID badges.

Modules

Dashboard

Overview:

The Dashboard is the live command center of Hawkwatch AI. It provides instant visibility into all cameraevents, 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.

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:

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

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

User Cases:

Live workplace monitoring - Instant alert awareness - Staff movement tracking

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

Individuals

Overview:

Features:

Provides instant face recognition, daily attendance stats, active camera status, and quick identification of flagged individuals — all updated in real time.

User Cases:

Ideal for live monitoring, instant alert handling, and tracking staff or visitor movements.

Employee

Overview:

The Employees module is dedicated to attendance, productivity, and behavioral tracking. It maps each employee's entry, exit, and engagement time using facial logs and calculates their work pattern.

Features:

Timeline view with In/Out logs and photos - Productive vs Unproductive time stats - Bar-style visual summaries per employee - Daily and Monthly date filters

User Cases:

HR attendance tracking - Productivity audits - Performance-based shift planning

Matching Approval

Overview:

Matching Approval empowers human reviewers to validate or reject low-confidence face recognition matches. This module ensures only accurate face mappings are retained in the system.

Features:

Feed vs Reference Image visual layout - Display of matching percentage (e.g., 87.95%) - "Same Person" or "Different Person" decisions - Pending approvals queue count

User Cases:

Workforce behavior insights - Identifying peak hours - Weekly attendance and

productivity summaries

Visitors

Overview:

Visitors module handles external individuals detected by the face recognition system. Each visit is recorded,

timestamped, and categorized for later review and compliance.

Features:

Visitor timeline with entry/exit time - Category labels (e.g., MD Visitor, Vendor) - Face gallery view with location and time info - Export-friendly visitor logs

User Cases:

Guest tracking - Security audit of unknown entries - Front desk

visitor management

Alert Center

Overview:

The Alert Center allows administrators to set custom surveillance rules based on time, user role, location,and recognition data. When conditions are met,Hawkwatch can trigger alerts automatically.

Features:

Create alerts with priority types (Normal,Moderate, Critical)-Set time slots per day-Include/exclude specific employees, roles,cameras,and areas - Enable/disable alerts with toggle switches

User Cases:

Alert when unknown person enters restricted zone - Monitor specific teams after hours - Detect rule violations with time- or zone-based criteria

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)

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

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

Camera Feed

Overview:

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

Individuals

Overview:

Features:

User Cases:

Hawkwatch AI provides a detailed record of

every person detected by the system. It

displays face logs with time-stamped entries,

allowing quick identification and verification of

individuals.

Hawkwatch AI provides a detailed record of every person detected by the system. It displays face logs with time-stamped entries, allowing quick identification and verification of individuals.

Provides instant face recognition, daily attendance stats, active camera status, and quick identification of flagged individuals — all updated in real time.

Ideal for live monitoring, instant alert handling, and tracking staff or visitor movements.

Employee

Overview:

The Employees module is dedicated to attendance, productivity, and behavioral tracking. It maps each employee's entry, exit, and engagement time using facial logs and calculates their work pattern.

Features:

Timeline view with In/Out logs and photos - Productive vs Unproductive time stats - Bar-style visual summaries per employee - Daily and Monthly date filters

User Cases:

HR attendance tracking - Productivity audits - Performance-based shift planning

Matching Approval

Overview:

Matching Approval empowers human reviewers to validate or reject low-confidence face recognition

matches. This module ensures only accurate face mappings are retained in the system.

Matching Approval empowers human reviewers to validate or reject low-confidence face recognition matches. This module ensures only accurate face mappings are retained in the system.

Features:

Feed vs Reference Image visual layout - Display of matching percentage

(e.g., 87.95%) - "Same Person" or "Different Person" decisions - Pending approvals queue count

Feed vs Reference Image visual layout - Display of matching percentage (e.g., 87.95%) - "Same Person" or "Different Person" decisions - Pending approvals queue count

User Cases:

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

summaries

Workforce behavior insights - Identifying peak hours - Weekly attendance and

productivity summaries

Visitors

Overview:

Visitors module handles external individuals detected by the face recognition system. Each visit is recorded,

timestamped, and categorized for later review and compliance.

Features:

Visitor timeline with entry/exit time - Category labels (e.g., MD Visitor, Vendor) - Face gallery view

with location and time info - Export-friendly visitor logs

Visitor timeline with entry/exit time - Category labels (e.g., MD Visitor, Vendor) - Face gallery view with location and time info - Export-friendly visitor logs

User Cases:

Guest tracking - Security audit of unknown entries - Front desk visitor management

Guest tracking - Security audit of unknown entries - Front desk

visitor management

Alert Center

Overview:

The Alert Center allows administrators to set

custom surveillance rules based on time, user role,

location,and recognition data. When conditions are met, Hawkwatch can trigger alerts automatically.

The Alert Center allows administrators to set custom surveillance rules based on time, user role, location,and recognition data. When conditions are met,Hawkwatch can trigger alerts automatically.

Features:

Create alerts with priority types (Normal,

Moderate, Critical) - Set time slots per day -

Include/exclude specific employees, roles,

cameras, and areas - Enable/disable alerts with toggle switches

Create alerts with priority types (Normal,Moderate, Critical) - Set time slots per day -

Include/exclude specific employees, roles,cameras,and areas - Enable/disable alerts with toggle switches

User Cases:

Alert when unknown person enters restricted zone - Monitor specific teams after hours -

Detect rule violations with time- or zone-based criteria

Alert when unknown person enters restricted zone - Monitor specific teams after hours - Detect rule violations with time- or zone-based criteria