2025 - Pavan Electro Source

November 21, 2025 BY Pavan Electro

Crowd Safety Detection System Using Raspberry Pi & AI

🔍 Project Overview

This project uses a Raspberry Pi, Pi Camera, and MobileNet-SSD deep learning model to detect the number of people in real time. It marks people with bounding boxes, displays the count, and saves automatic snapshot logs at regular intervals.

The system runs independently on Raspberry Pi and is suitable for both indoor and outdoor monitoring.

⚙️ How It Works (Short & Simple)

Camera captures live video
RPi Camera streams frames at 640×480 resolution.
AI model detects humans
MobileNet-SSD identifies “Person” class in each frame.
People are counted
Bounding boxes highlight each detected person.
Auto-snapshot
Every fixed interval (10 seconds by default), the system saves:
- Image of the crowd
- Timestamp
- Detected count
Excel logging (if enabled)
Each record is stored in an Excel sheet for analysis.

🛠️ Hardware Used

Raspberry Pi 4 / Pi 3
Raspberry Pi Camera Module (any version)
Micro SD card
Power supply
Internet for installation (optional later)

✨ Key Features

✔ AI-based person detection
✔ Real-time crowd counting
✔ Bounding box visualization
✔ Auto image saving with timestamp
✔ Optional Excel data logging
✔ Lightweight model works smoothly on Raspberry Pi
✔ No cloud needed — runs fully offline

📈 Applications

Mall & shop crowd monitoring
School/college safety
Industrial workplace monitoring
Public event analysis
Smart security systems
Queue management
Temple/church crowd analysis

🚀 Future Scope

Email alert integration
Live dashboard via Flask web server
IoT cloud syncing (Firebase / AWS / Thingspeak)
SMS alerts using GSM module
Thermal camera support
Face mask + helmet detection
Real-time crowd density heatmap

👍 Advantages

Works offline
Low power consumption
Low-cost hardware
Accurate for close-to-medium range
Easy image and data export
Highly customizable

⚠️ Precautions

Ensure proper lighting for camera
Keep lens clean for best accuracy
Install camera firmly; avoid vibrations
Use heat-sink on Raspberry Pi to prevent throttling
Avoid exposing Pi Camera to sunlight for long durations

October 8, 2025 BY Pavan Electro

IN Arduino Projects, Automation Projects

The Arduino Explorer: Smart Obstacle-Avoiding Robot

`🔍 Project Overview`

The Arduino Explorer is an intelligent robotic car powered by the versatile Arduino Uno R3. It autonomously navigates its environment using smart sensor technology to detect and avoid obstacles. This project is ideal for beginners and enthusiasts stepping into robotics, programming, and automation with Arduino.

⚙️ How It Works (Short & Simple)

• Sensing (The Eyes)
The HC-SR04 Ultrasonic Sensor, mounted on a servo motor, continuously emits sound waves and measures the time for them to return, acting as the robot’s eyes.

• Scanning
The SG90 / MG90S Servo Motor pivots the sensor left and right, giving the robot a wide field of view to identify the clearest path.

• Decision Making (The Brain)
The Arduino Uno processes distance data from the sensor. If an obstacle is detected, it decides whether to stop, reverse, or turn, ensuring safe navigation.

• Action (The Movement)
Commands from the Arduino drive the L298N Motor Driver Module, which directs power from the 12V battery pack to the four DC motors, allowing the robot to move and avoid obstacles efficiently.

✨ Key Features

✔ Arduino Uno-powered, beginner-friendly platform
✔ Intelligent obstacle avoidance
✔ Active scanning system via servo-mounted ultrasonic sensor
✔ Four-wheel drive for excellent traction and maneuverability
✔ Fully autonomous navigation

🛠️ Core Components

• Brain: Arduino Uno R3
• Chassis: 4-Wheel Robot Platform
• Propulsion: 4 x DC Motors
• Motor Control: L298N Motor Driver Module
• Primary Sensor: HC-SR04 Ultrasonic Sensor
• Scanning Mechanism: SG90 / MG90S Servo Motor
• Power: 1 x 12V Battery Pack

📈 Applications

• Beginner robotics learning
• Obstacle avoidance practice
• Autonomous vehicle prototypes
• STEM education and DIY projects
• Indoor navigation experiments

🚀 Future Scope

• Add line-following functionality
• Integrate Bluetooth or Wi-Fi control
• Add camera for visual navigation
• Implement path planning algorithms
• Obstacle data logging and analytics

👍 Advantages

✔ Easy to program and customize
✔ Fully autonomous obstacle avoidance
✔ Compact, low-cost hardware
✔ Scalable for more sensors and features

⚠️ Precautions

• Ensure proper battery voltage and wiring
• Securely mount the sensor and servo
• Avoid exposing electronics to water or dust
• Test in a clear area to prevent damage

October 1, 2025 BY Pavan Electro

IN ESP8266 Projects

Smart Talking Robot Car

Meet Our Smart Talking Robot Car! 🤖

Bring the power of Google Assistant to life with this interactive, mobile-controlled robot car. It’s not just a toy; it’s your personal assistant on wheels, ready to answer questions, follow commands, and explore its surroundings, all controlled from the palm of your hand.

Key Features ✨

Google Assistant Integrated: Ask questions, get weather updates, or control smart devices. Your robot connects to Google Assistant through your mobile phone for endless possibilities.
Full Mobile Control: A dedicated mobile app gives you complete control over the robot’s movements and functions.
Wireless Bluetooth Connection: Enjoy a seamless and reliable connection between your phone and the robot for quick and easy operation.
Powerful 4-Motor Drive: The four-wheel-drive system provides robust mobility, allowing the robot to navigate various indoor surfaces with ease.
Clear Audio Output: An onboard speaker delivers clear sound for Google Assistant’s voice responses and other audio functions.

Technical Components ⚙️

This project is built with a powerful combination of standard electronics:

Brain: A NodeMCU board manages all the processing and commands.
Connectivity: A Bluetooth module for wireless communication with your mobile device.
Mobility: Four DC motors paired with an L298N motor driver for precise control over movement.
Power: A robust power system using four 3.7V rechargeable batteries.

Crowd Safety Detection System Using Raspberry Pi & AI

🔍 Project Overview

⚙️ How It Works (Short & Simple)

🛠️ Hardware Used

✨ Key Features

📈 Applications

🚀 Future Scope

👍 Advantages

⚠️ Precautions

The Arduino Explorer: Smart Obstacle-Avoiding Robot

`🔍 Project Overview`

⚙️ How It Works (Short & Simple)

✨ Key Features

🛠️ Core Components

📈 Applications

🚀 Future Scope

👍 Advantages

⚠️ Precautions