2. TEAM MEMBERS
1. L. Sasidhar Reddy
(22001A0459)
2. V. Mohan Kumar
(22001A0417)
3. S. Venkatesh Naik
(22001A0454)
4. K. Suresh (22001A0445)
5. S. Kathyayani (22005A0405)
MENTOR
Dr.S.Chandra Mohan Reddy
Professor of ECE
3. ABSTRACT:-
• The study proposes an intelligent crowd control system using weight sensors and infrared (IR) sensors to
monitor real-time traffic flow on bridges.
• Weight sensors detect load distribution to prevent excessive stress on the structure, ensuring stability and
safety.
• IR sensors track pedestrian and vehicle movement, identifying congestion and irregularities in traffic
flow.
• The system uses Internet of Things (IoT) technology to analyze data and trigger automated responses,
such as dynamic lane adjustments and warning signals.
• By integrating these technologies, the proposed system aims to enhance safety, optimize traffic flow, and
4. PROBLEM DEFINATION:-
• Bridges are critical infrastructures that facilitate transportation and connectivity. However, excessive crowd density
on bridges, especially during public events, festivals, or emergencies, can lead to structural overload, increasing the
risk of collapse. Traditional crowd management techniques, such as manual monitoring and static weight limit
enforcement, are often inadequate in real-time dynamic scenarios.
• To address this challenge, a Smart Crowd Control and Monitoring System is proposed. This system will leverage
advanced technologies, including IoT-enabled weight sensors, AI-driven crowd analytics, and real-time
surveillance, to monitor pedestrian density, detect overload conditions, and trigger automated alerts. By integrating
smart sensors and AI-powered predictive analysis, the system can provide proactive measures to prevent potential
disasters.
6. COMPONENTS USED:-
Arduino uno
Ir sensor
Load cell with hx711 module
Liquid crystal display (16x2)
Servo motor
Connecting wires
Bread board mini
7. SENSORS:-
Load Cell (HX 711):
IR SENSORS:
An IR sensor (Infrared sensor) is a device that detects infrared
radiation, which is a type of electromagnetic radiation that is
not visible to the human eye but can be felt as heat. IR sensors
are used in a wide range of applications, from motion detection
to communication.
A load cell is a type of transducer used to measure force or
weight by converting the mechanical force (or weight) applied
to it into an electrical signal. It's a critical component in many
weighing systems, including industrial scales, digital scales, and
even in specialized applications like pressure sensors, force
testing, and more.
8. LCD (I2C):
Servo Motor:
A servo motor is a rotary actuator that allows for
precise control of angular position. It consists of a
motor coupled to a sensor for position feedback. It also
requires a servo drive to complete the system. The
drive uses the feedback sensor to precisely control the
rotary position of the motor.
An LCD (Liquid Crystal Display) is a flat-panel display
technology that uses liquid crystals to modulate light, creating
images or text. Unlike older display technologies, such as CRT,
LCDs are lightweight, energy-efficient, and compact. They rely
on a backlight (usually LED) since liquid crystals do not emit
light on their own. The crystals align to control the passage of
light, forming pixels that display images, characters, and
graphics.
9. TECHNOLOGY USED :-
Arduino IDE Software
The arduino software (IDE) is an open source software,
which is used to programme the Arduino boards, and is
an integrated development environment, devlopped
by arduino.cc. Allow to write and upload code to
arduino boards. And it consiste of many libraries and a
set of examples of mini projects.
10. WORKING:-
• Sensor Integration: Uses infrared (IR) sensors to detect the presence of people and weight sensors (like HX711)
to measure total load on the bridge.
• Data Processing: Continuous data from sensors is sent to an Arduino Uno, which processes and compares it with
predefined thresholds.
• Corrective Actions: If thresholds are exceeded, Arduino triggers actions such as closing gates with a servo motor
to prevent additional people from entering.
• Real-Time Updates: LCD module provides real-time status updates on crowd density, total weight, and safety
warnings.
• Safety Alerts: Activates visual or auditory alarms in case of overload to alert authorities and the public.
• This system efficiently monitors and controls crowd and weight on the bridge to prevent overload and potential
collapse.
12. FUTURE SCOPE:
• Integrating cloud computing with IoT-based bridge monitoring offers several future advancements. With
real-time updates on a website, authorities can track the hourly vehicle count and average vehicle weight
on the bridge, improving decision-making and safety measures.
• AI & Predictive Analytics – Machine learning can analyze past data to predict peak traffic hours and
potential overload risks, enabling proactive measures.
• Smart Alerts & Automation – The system can send automated alerts via SMS/email if weight limits
exceed, allowing immediate action.
• Integration with Traffic Control – Traffic signals can be synchronized to regulate vehicle flow
based on bridge capacity.
• Blockchain for Data Security – Secure and tamper-proof storage of bridge usage data for long-term
analysis.
• Mobile App Integration – Users can check bridge congestion levels before travel. This system
ensures smoother traffic management, enhanced bridge safety, and data-driven urban planning for future
smart cities.
