Presentation on AI&ML- driven facial recognition technology powered by ShepHertz showcasing use cases on Attendance and Visitor Management.

1. Agile & Incremental Digital Transformation
A Platform Company

2. About ShepHertz
• Trusted by 75,000+ registered customers in 150 countries
• Processing 140+ Billion API Calls
• Large Enterprise customers in BFSI, Retail, Media, Aviation,
Real Estate & Gaming
• Multiple years of experience in Managed Services on the
Cloud with various providers.
• Partnership with largest companies – IaaS, SI/IT Services,
Resellers, Advisory cos.
• Providing Products & Solutions since 8+ years
• One of the largest product line in the Cloud & Platform
space (PaaS, APIs, DevOps, Real-time Messaging, Actionable
BigData, AI & ML)
• Experience across IaaS Providers – AWS, MS Azure, IBM
Cloud, VMWare vCloud Air, Alibaba cloud, OnPremise etc.
• Servers in 9 countries

4. Attendance Management Solution

5. Conventional New-age
➢ Long Queues & Time taken per person to
mark attendance
➢ Inconvenience
➢ No intruder detection mechanism
➢ No full-proof tracking of employees’ login
hours
✓ It enhances productivity – Complete track of
login time, no. & duration of breaks taken per
employee
✓ Minimize Fake Visits – Geotagging coupled
with face recognition weeds out fake visits by
field sales force.
✓ Gauge Sentiments – Detect employee’s
sentiment & proactively counsel him
✓ Intruder Detection & Restrictive Access
✓ Ease of Use
✓ Department wise reports, regular
employees or 3rd-party (contractor/vendor)
employees.
✓ Minimize Spends & thus better resource
utilization – HRs/Payroll teams and team
leaders can focus on other important tasks.
Conventional vs New-age Attendance Management

6. Employee
Enters
New Employee
Existing
Employee
Enter Employee
Details, Face
Identification
Face
Recognition
Attendance
Captured with
In-Time*
Employee Attendance via Face Recognition
HRMS
Employee
Exits
Face
Recognition
Attendance
Captured with
Out-Time* *Manager
Dashboard

7. Facial Attendance Solution- Features
Sr. No Feature Remarks
1 First In-Out Time
First In and out time is captured for all employees.
First capture is the in-time and last capture is the out-time for the day.
2
One time registration/de-registration System can register and de-register employees centrally upon their joining and exit. Registration/De-
registration is a one time activity.
3
Additional employees details for new registration
process
System is able to extract additional details of the Newly registered employees from HRMS (if integrated).
4 Emp Code as primary key
System maps captured Face data with the employee code which is unique to each employee. Employee
code can be used as the unique identifier for mapping all attendance related data.
5 Geotagging
The system can capture office location along with GPS details of the employees from where he/she is
marking the attendance.
6 Device Control
System does not allow attendance to be marked from any unauthorized device other than the ones which
are registered with the system.
7 Master Rights
The system provides admin access only to selected officials for employee registration/deregistration. The
system also provides reports about list of employees having admin rights along with list of changes done by
individual admins.
8 Hardware compatibility The system is compatible with Android/iOS Mobiles & Tablets.
9 Dashboard/Reports
The system provides a Dashboard view with details such as No. of employees joined/exited this month, daily
total no. of punch in/punch out etc.
The system is also capable of triggering alerts e.g. in case an employee is absent for more than 5 days the
alert can be sent to HR and respective manager
10 Old data The existing attendance data can be migrated and the new system can provide reports based on it.

8. Home Screen New Registration
Capture Image Submit Details

9. Mark Attendance Submit Attendance
Admin Panel Admin Login

10. Attendance using Commodity/Surveillance Camera
Group attendance – Contact less
• ShepHertz Face Recognition not only
works on Android/iOS Apps but also
works on standard Commodity /
Surveillance cameras.
• Can analyze Images as well as video
stream
• Can interact with automation doors or
any other hardware through IoT
integration
• Can be deployed in remote locations.

11. Analytics
• Total Punch-in/Punch-out – Daily/Monthly
• Total/Average Working hours
• No. of employees joined/exited in a month
• Time wise - Early Birds, Late Comers, On-Time

12. Visitor Management Solution

13. Conventional New-age
➢ Long queues at reception desks
➢ Inconvenience to visitors in terms of long
waiting times
➢ Tedious and repetitive entry procedures at
every check point
➢ Repeat/Frequent visitors need to register on
every visit
➢ No track and control of visitor movement in
premise once he crosses the entry gate.
✓ Intuitive Self-service kiosk reduces queues at
reception desks Inconvenience to visitors in
terms of long waiting times
✓ Saves Time – Repeat visitors are
automatically detected, and entry pass is
generated without having to fill all the details
again and again.
✓ Notifications to Hosts – SMS & Emails
✓ Restrictive Access to visitor
✓ Gather useful insights in Large
exhibitions/shows – Rich analytics in terms
of analyzing periods during which there was
a spike in visitor inflow, most visited stall etc.
✓ Detect suspicious behavior – in crowded
places
✓ Minimize spends on reception & security
staff thus better resource utilization.
Conventional vs New-age Visitor Management

14. Visitor
Enters
New Visitor
Existing
Registered
Visitor
Collect Visitor
Details, Image
Capture
Searches and
Finds Visitor
Record
Visitor Pass
with all
details
Visitor
completes
meeting or work
Visitor Exits
After Meeting,
Visitor proceeds
for exit process
Drops Visitor
Pass at
reception
Visitor Registration
SMS/Email
Notification to Host
Database
Information
stored for
Reporting
Alert sent to security if
visitor has not exited
by a predetermined
time frame

15. G
L1
L2
L3
Notification sent
to security on
Unauthorized
access
Visitor has a meeting
with Host on L1.
Access granted for L1
only
Visitor Access
?
?
? Visitor
reaches L2
by mistake

16. Analytics
• Visitors count day wise – Total number of visitors visited on the specific
dates.
• Visit count – Number of times each visitor visited.
• Visitors Overstayed – Details of visitors who stayed after the expected time
out.
• Visitors Overstaying – Details of visitors who are staying after the expected
time out.
• Appointments List.
• Appointments Missed.
• Contractor Attendance Daily, Weekly & Monthly reports

17. Other Indicative Use cases using Face Recognition
• Detect Intruders
• Unknown people
• Identifying users who are in a Secured/Restricted Area
• Detecting suspicious characters
• People carrying objectionable/dangerous objects e.g. Knife
• Wearing helmet or covering face e.g. Use case : ATM
• Not wearing uniform : Use case Manufacturing
• Trigger Notifications/Alerts and Alarms to security
• Automatic locking of Doors in case the intruder is identified – Usecase: IoT
• Analytics
• Detect unusable behavior/Anomaly/Outlier detection : Our of the normal
movements.

18. ShepHertz
Digital Hub
App
Behavior
Legacy AppsReal Time Offline
Big Data
Transactional External AppsUnstructured
App42 BDC = Bigdata Connectors
Visualization & Reporting
Build & deploy B2C, B2B, B2Partner, B2Employee
Omni- Channel Apps
Verticalized Point Solutions
(Sales Automation, Geo- Attendance etc.)
Unified Notifications
Omni-Channel Single View of
Customer/Asset/Employee
Omni-Channel Digitization Platform
Actionable analytics & automation
AI & ML

20. BOT
- Dialog – FAQ based
- Intelligent BOT - Free flowing
Text/Voice interaction
- Support for Live Chat –
Seamless Handover from Bot to
live agent
Sentiment Analysis
- Social Media – Twitter, FB etc.
- Chat
- Competition & influencer
analysis
- Metrics
Prediction Analytics
- Propensity to buy/churn
- Customer Life time value
- Customer Segmentation
- Up and Cross selling
- Lead Scoring
- Improved content distribution
- Analyzing optimal campaign
channels , content & time
- Document Automation
- Image RecognitionRecommendation
- User similarity
- Item similarity
- Content tagging
- Clustering
Anomaly detection
- Outlier detection
AI Use cases
Classification
- Hyper Personalization
Face Recognition
- Visitor Management
- Employee attendance
- Gesture recognition
- Intruder detection

21. Thankyou
ShepHertz Technologies
Email: sales@shephertz.com
www.shephertz.com
Phone: +91-124-4594050
Address: 9A, Ground Floor, Tower – B4,Spaze
I-Tech Park, Sec-49,Gurgaon-122002
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