Real-time AI
Continuous camera-based snake detection.
AI + IoT + GSM
AI-Based Reptile Detection & Smart Alert System
A real-time residential safety prototype that uses a camera and YOLO-based computer vision to detect snakes and automatically trigger an ESP32, audible/visual alarms, SMS notification and phone call through SIM900A.
YOLOOpenCVESP32SIM900A
SYSTEM ARCHITECTURE
📷 Camera
↓
🧠 YOLO AI
↓
⚙️ ESP32
🔊 Buzzer
🔴 LED
📡 GSM
01 · ABOUT
Why this project?
Snakes can enter homes and residential areas without warning. This project combines computer vision and embedded hardware to provide an automatic detection and alert mechanism.
Instead of relying only on manual observation or conventional sensors, the camera continuously monitors the scene while the trained YOLO model identifies a snake in the video.
Automatic Alarm
ESP32 controls an external buzzer and LED.
Remote Alert
SIM900A provides SMS and phone-call notification.
Low-cost Prototype
Combines commonly available embedded components.
02 · WORKFLOW
How the system works
01📷
Camera
USB camera captures the monitored area.
→
02🧠
YOLO
Python and YOLO analyze the video for a snake.
→
03🔌
USB Serial
Confirmed detection sends a command to ESP32.
→
04⚙️
ESP32
Microcontroller coordinates local and GSM alerts.
Snake confirmed
↓
SNAKE command
↓
ESP32
↙ ↓ ↘
🔊 Buzzer
🔴 LED
📡 SIM900A
SMSPhone Call
03 · HARDWARE
Hardware components
USB Camera
Captures real-time video for the AI detection stage.
ESP32
Receives detection commands and controls the alert hardware.
SIM900A
Provides GSM-based SMS and phone-call alerts.
External Buzzer
Provides an audible warning when an alert is activated.
LED
Provides a visible local warning indication.
Power & Wiring
Suitable regulated supplies, jumper wires and connections.
Prototype signal connections
ESP32 GPIO12→ External Buzzer
ESP32 GPIO14→ LED (through resistor)
ESP32 GPIO16← SIM900A TX
ESP32 GPIO17→ SIM900A RX
ESP32 GND↔ Common GSM ground
04 · SOFTWARE
Software stack
PythonApplication and detection control
Ultralytics YOLOSnake object detection
OpenCVCamera/video processing
ESP32 Arduino FrameworkEmbedded control and GSM interface
PlatformIOESP32 development and firmware upload
Serial CommunicationPython ↔ ESP32 command channel
05 · ALERT LOGIC
From detection to notification
1
Detect
YOLO identifies a snake above the configured confidence threshold.
2
Confirm
Consecutive detections reduce the chance of reacting to a single false frame.
3
Trigger
Python sends SNAKE to the ESP32 through USB serial.
4
Warn
ESP32 activates the external buzzer and LED.
5
Notify
SIM900A sends an SMS and initiates a phone call.
6
Reset
After the configured safe period, the system sends SAFE and disables the local alarm.
DEMO STATUS
Prototype dashboard
This is a presentation interface. It does not claim to be a live connection to the prototype.
AI DetectionConfigured
ESP32Configured
GSM AlertConfigured
06 · FUTURE SCOPE
Where the project can go next
📱 Mobile AppRemote notifications and monitoring.
☁️ Cloud DashboardStore events and detection history.
📹 Multiple CamerasMonitor multiple residential zones.
🌙 Night DetectionImprove monitoring in low-light environments.
📍 Location AlertsInclude monitored-zone information in notifications.
🤖 Edge AIMove more of the detection pipeline to embedded hardware.
SCAN & SHARE
Project information at a glance
Once this site is hosted online, point your exhibition QR code to this website so judges can scan it and view the complete project.
QR
Replace with the hosted-site QR code