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1. GOVERNMENT COLLEGE OF ENGINEERING, SALEM
(An Autonomous Institution Affiliated to Anna University, Chennai * NAAC Accredited)
DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERING
(Accredited by NBA)
S.P.A.D
(Smart Police Assist Device)
Project Guide:
Dr. M. Dhinakaran
Associate Professor(CAS) / ECE
Project Members:
RAMYA K - 2031027
ROSHINI D - 2031030
SARANYA N - 2031034
ANTHIKA H - 61772231T501
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2. CONTENTS
 ABSTRACT
 INTRODUCTION
 PROBLEM STATEMENT
 OBJECTIVE
 BLOCK DIAGRAM
 HARDWARE REQUIREMENTS
 SOFTWARE REQUIREMENTS
 CIRCUIT DIAGRAM
 PROJECT SETUP
 ENROLLING FINGERPRINTS
 OUTPUT OF BLYNK APP
 LCD INDICATION
 CONTROL SWITCHES
 ALERT MESSAGES
 CONCLUSION
 REFERENCES
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3. ABSTRACT
 S.P.A.D is designed specifically to assist the Patrolling Police Officials to identify criminals who blend
among civilians.
 This S.P.A.D is integrated with advanced components like NodeMCU, GPS, GSM and Buzzer.
 By employing Fingerprint Identification, this system retrieves crime history to identify the criminals.
 In addition, this system also sends a suspected Alert messages with Location Coordinates to the nearby
Police Station.
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4. INTRODUCTION
 Police are now leveraging innovative technologies to
identify the “CRIMINALS” in a quick and effective way.
 They are seeking the talents of budding Engineers to
craft projects enhancing criminal identification tech.
 These opportunities motivate us to develop this S.P.A.D
project.
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5.  In a society where criminals seamlessly blend in with the common peoples, it is a formidable
challenge to identify perpetrators.
 Patrolling Police face hurdles in distinguishing between “CIVILIANS” and “CRIMINALS” during
roadside checks.
 In recent years, there has been a notable increase in the frequency and severity of attacks on patrol
police officers by criminals.
 The challenge lies in identifying and implementing effective strategies and technologies to mitigate
these attacks, enhance the protection of patrol officers, and ensure swift and appropriate responses
to such incidents.
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PROBLEM STATEMENT

6. 12/06/2024 6
OBJECTIVE
 This project mainly focus to develop a “S.P.A.D” with advanced biometric criminal’s
information extraction system.
 The Patrol Police can use this device to collect fingerprints from suspected individuals.
 If the fingerprint matches with those of regular civilians, it will display only their
Aadhaar Information.
 If the fingerprint matches with those of criminals, it will show both
Aadhaar Information and their Crime History.

7. 12/06/2024
BLOCK DIAGRAM
7
Fingerprint
Sensor
Biometric
Scanner
Information
Database
Aadhaar
Details
Aadhaar and
Crime
History
Details
Normal
or
Civilians
Criminals
Alert
Message sent
to Police
Station
Person
Blynk
App
In case of
Suspicion
yes

8. HARDWARE REQUIREMENTS
 Power Supply Unit
 Node MCU
 Finger Print Sensor
 Button Switch 1 - ‘S’
 Button Switch 2 - ‘C’
 GSM
 GPS
 Buzzer
 LCD
 Arduino UNO
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9. SOFTWARE REQUIREMENTS
o Arduino IDE
o Embedded C
o Blynk App
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10. CIRCUIT DIAGRAM
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Fingerprint sensor
Fingerprint
Sensor
Button Switch 1
‘S’
Button Switch 2
‘C’
NodeMCU
LCD Display
GSM
GPS
Buzzer
Blynk App
SMS
Arduino
UNO

11. PROJECT SETUP
LCD Display
Biometric
Scanner
Wi-Fi Module
GSM Module
GPS
Arduino Uno
11
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12. ENROLLING FINGERPRINTS
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Anthika
(Ex - Criminal)
Ramya
(Ex – Suspect)
Roshini
(Ex – Civilian)

13. OUTPUT OF BLYNK APP
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14. BLYNK APP - OUTPUT
Criminal Details:
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15. 12/06/2024 15
Suspect Details:
BLYNK APP - OUTPUT

16. 12/06/2024 16
LCD Indication
LCD INDICATION

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Aadhaar Details:
CRIMINAL FINGERPRINT

18. 12/06/2024 18
Crime History Details:
Pending Cases:
Hit & Run

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Aadhaar Details:
SUSPECT FINGERPRINT

20. 12/06/2024 20
Crime History Details:
Pending cases:
NIL

21. 12/06/2024 21
Aadhaar Details:
CIVILIAN FINGERPRINT

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No Crime History

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CONTROL SWITCHES
Control Switches
S - Suspect
C - Criminal

24. 12/06/2024 24
ALERT MESSAGES
Criminal and Suspect Message

25. 12/06/2024 25
ALERT MESSAGES
Message with Location

26. 26
CONCLUSION
 In conclusion, the proposed Smart Police Assist Device with Biometric Authentication and Alert
Mechanism represents a significant advancement in modern policing technology.
 By integrating biometric authentication, GPS tracking, GSM communication, and alert mechanisms, this
system offers numerous advantages for patrolling police officers.
 Through enhanced efficiency, accuracy, and real-time alerts, the system empowers law police officers to
identify individuals with criminal records swiftly and take proactive measures to prevent crime.
 The inclusion of location tracking and remote communication capabilities further enhances operational
effectiveness and officer safety, enabling timely responses to incidents.
 Moreover, the proposed system demonstrates cost-effectiveness in the long run, as it reduces the need
for manual processes and streamlines law enforcement operations.
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REFERENCES
[1] Saranya, S. K., Manivannan, S., & Priyadharsini, R. (2017). A Smart Helmet for Accident Detection and
Reporting. In 2017 International Conference on Wireless Communications, Signal Processing and Networking
( WiSPNET ) (pp. 2134-2137). IEEE.
[2] Nithya , M. S., & Preethi , M. (2018). IoT Based Smart Police Patrolling and Surveillance System. In 2018
International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) (pp. 563-566). IEEE.
[3] Sivakumar, S. S., Aravind, R., & Shanthi, V. (2019). An Intelligent Surveillance System for Public Safety. In 2019
International Conference on Communication and Signal Processing (ICCSP) (pp. 1240-1244). IEEE.
[4] Zhao, Q., & Li, J. (2023). A Review on Smart Policing: Applications, Technologies, and Trends. IEEE Internet of
Things Journal.
12/06/2024

28. [5] Garcia, M., & Sanchez, L. (2022). Implementing IoT for Enhanced Crime Surveillance: A Case Study of Smart
City Initiatives. Sensors.
[6] Thompson, G., & Evans, R. (2021). Evaluating the Impact of Real-Time Crime Mapping on Police Efficiency.
Policing: An International Journal.
[7] Johnson, R., & Williams, D. (2020). Data-Driven Approaches to Crime Prediction in Smart Cities: A
Comprehensive Review. Journal of Big Data.
[8] Wang, X., & Liu, Y. (2019). Smart Policing with Internet of Things: Leveraging Data Analytics for Crime
Prevention. Journal of Information Security and Applications.
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29. 29
INTERNATIONAL CONFERENCE PUBLICATION
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NEWS – ATTACK ON PATROL POLICE
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My Heroes Are Those Who Risk Their Lives
Every Day To Protect Our World And Make It
A Better Place - POLICE.
Sidney Sheldon
THANK YOU