This document summarizes a student's presentation on identifying women harassment in public CCTV cameras using artificial intelligence techniques. The proposed system uses computer vision algorithms like human detection, gender prediction, and anomalous activity detection on live CCTV feeds to identify potential harassment situations and send alerts to local police. If a woman is detected alone in a public area at night, an alert would be triggered. The system is intended to help improve women's safety without requiring additional hardware beyond existing CCTV infrastructure.

1. Second International Conference on Advances in Engineering and Technology
(ICAET-2022)- (Online)
ICAET-2022
Organised by
RSP Conference Hub, Coimbatore, Tamilnadu, India
Date: 29/09/2022 & 30/09/2022
Paper ID :220946 Category : UG / PG / RS / Faculty
Paper Title : INDENTIFYING WOMEN HARASSMENT IN PUBLIC CCTV CAMERAS
USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Presented by
Mr Ajay Vishal R P,
Student – UG
Bannari Amman Institute of Technology,
Erode, Tamil Nadu
Authors Details
Mr Sakthi Aravind J,
Mr Kuralamudhan J
Ms Harsha M R
Ms Pooja Shree C
Student - UG
Bannari Amman Institute of
Technology,
Erode, Tamil Nadu
Paper Id : 220946
Presenter Category : UG

2. AGENDA • ABSTRACT
• INTRODUCTION
• PROPOSEDWORK
• WORK FLOW
• HUMAN DETECTION
• GENDER PREDICTION
• ANAMOLUS ACTIVITY DETECTION
• ACCURACY
• CONCLUTION
2

3. ABSTRACT
3
The general public most likely living in
the most terrible time our cutting edge
society has at any point found concerning
ladies security . Ladies feel hazardous to
travel solo at odd hours. There are numerous
android applications that are created for
ladies' wellbeing. The proposed framework is
an endeavor made to take care of the issues
of ladies wellbeing.
Clearly there will be CCTV cameras in each
open spot. In the event that any uncommon
movement of an individual is perceived by a
camera, the alarm message will be shipped off
the close by police headquarters which makes
them alert. This undertaking is made for the
accommodations, everything being equal.

4. INTRODUCTION
4
• Among the most terrible nations
in
wrongdoing, India has a despicable
history in
all types of sexual double-dealing.
• The proposed framework is a
completely
coordinated progressed AI based
framework
which can obviously recognize
what is going
on of the casualty by utilizing
public CCTV
• Alarm message quickly to the close
by
control room or police headquarters
to
protect the concerned specialists
There are sure prior CCTV cameras that
really do make an impression on the saved
contacts yet not a solitary one of them is
compelling and adequately fast and as
indicated by an overview, the current
innovation doesn't encourage most ladies.

5. PROPOSED WORK
5
• Human Detection
• Gender Prediction
• Anomalous Activity
Detection
Despite the fact that there are a number of
particular applications and numerous IOT
based thoughts for ladies security, this
proposed framework requires no
extraordinary equipment to cycle.The
undertaking is ordered into three modules.

6. WORK FLOW
6
• Step1: Start
• Step 2: Access Live CCTV
camera stream.
• Step 3: Detects the Presence of
humans
• Step 4: If any human activity is
detected it will enter the next
module (i.e.) Gender prediction.
• Step 5: It will identify if any women
are there or not.
• Step 6: Then it will be looking
for anomalous activity.
• Step 7: If any activity is found it will
be sending an alert message to the
nearby police station or control
room

7. HUMAN DETECTION
7
• Surface based techniques
like Histograms of Oriented
Gradient (HOG) utilize high
layered highlights in view of edges
and use Support Vector Machine
(SVM) to identify human districts
• The standardized outcome gives
better execution on variety in light
and force.
• The HOG is contrast-standardized,
this is finished by working out
force over a bigger region a few
cells known as square, then this
worth is utilized to standardize all
cells inside that square.
The human arrangement strategies could be
partitioned into three classes: shape-based,
movement based and surface based.

8. GENDER PREDICTION
8
• Observation camera the alarm
message will be shipped off close
by police headquarters.
• Making age and orientation
assessment from a solitary
face picture a significant
assignment in astute applications,
for example, access
control, human-PC collaboration,
policing, knowledge and visual
reconnaissance, and so on
• Age is one of the vital
facial credits, playing a very
essential job in friendly
connections
Assuming a female is remaining solitary in a
rail line station or in some other public places
particularly at evening time's is identified under
a live observation

9. ANOMALOUS
ACTIVITY
DETECTION
9
• The calculation will be searching for an
uncommon movement, for
example, running and so forth.
Assuming that any such sort of action is
distinguished the message will be
shipped off the close by
police headquarters.
• We propose a MIL positioning
misfortune with meagerly
and perfection imperatives for a
profound learning organization to
advance abnormality scores for
video fragments.
• We treat all irregular recordings
as one class and
typical recordings as another
class.
In the event that expect that, there are numerous
ladies remaining in a typical spot. It will be
considered as an ordinary action and on that
time assuming the message is conveyed to the
close by police headquarters it very well may be
set apart as spam.

10. ACCURACY
10
0
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2
3
4
5
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Category 1 Category 2 Category 3 Category 4
Chart Title
Series 1 Series 2 Series 3
The lower the percentile edge,
the higher the quantity of cells we
group as hazardous and the higher
is our model precision, yet is it great.
We need to track down the ideal
harmony between risk grouping and
model precision to get the best end-
client experience. There is definitely
not a solitary issue that can be more
terrible for an
individual's encounter than trust on
an application that is letting them
know that they are venturing into a
protected zone and end up being a
survivor of wrongdoing.

11. CONCLUSION
A ton of NGOs restoration focuses and helpline
numbers have been made functional in the
previous years however they are largely fixes to
the badgering that has proactively occurred
and not the counteraction that we want. There
are sure previous applications that truly do
make an impression on the saved contacts yet
not a solitary one of them is compelling
and adequately speedy and as indicated by a
study the current innovation doesn't encourage
most ladies.

12. THANK YOU