You will get AI-Based Smart Surveillance System
Project details
This project is an AI-powered smart surveillance system designed to automatically detect humans and suspicious activities in real time using camera feeds. The system uses computer vision and deep learning to identify people, weapons (such as guns), and vehicles, while also recognizing car and bike number plates. When a threat or restricted activity is detected, the system instantly triggers an alarm and alert notification.
Key Features
Human Detection
Accurately detects the presence of humans in live video streams.
Differentiates between humans and non-living objects.
Suspicious Activity Detection
Detects dangerous actions such as holding or opening a gun.
Identifies abnormal or restricted behavior in monitored areas.
Weapon Detection
AI model trained to recognize firearms and other dangerous objects.
Immediate alert when a weapon is detected.
Vehicle Detection & Number Plate Recognition
Detects cars and bikes entering the monitored area.
Extracts and recognizes vehicle number plates using OCR technology.
Stores vehicle records for tracking and investigation.
Real-Time Alerts & Alarm System
Triggers alarms automatically on detecting threats.
Key Features
Human Detection
Accurately detects the presence of humans in live video streams.
Differentiates between humans and non-living objects.
Suspicious Activity Detection
Detects dangerous actions such as holding or opening a gun.
Identifies abnormal or restricted behavior in monitored areas.
Weapon Detection
AI model trained to recognize firearms and other dangerous objects.
Immediate alert when a weapon is detected.
Vehicle Detection & Number Plate Recognition
Detects cars and bikes entering the monitored area.
Extracts and recognizes vehicle number plates using OCR technology.
Stores vehicle records for tracking and investigation.
Real-Time Alerts & Alarm System
Triggers alarms automatically on detecting threats.
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, GitHub Copilot, GPT-3, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, SQL, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 30 days | 50 days | 70 days |
Number of Revisions | 8 | 0 | 0 |
Number of Model Variations | 3 | ||
Number of Scenarios | 3 | ||
Number of Graphs/Charts | 5 | ||
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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MZ
Muhammad Z.
Feb 24, 2026
AI Whale Detection from Camera Feeds
He was responsive, cooperative, and delivered exactly what was needed.
MZ
Muhammad Z.
Feb 20, 2026
AI Engineer for Defect Detection
He followed instructions carefully and produced impressive results.
About Muzamil
AI/ML Engineer | Python (Django, Flask) Backend Developer | DevOps
Lahore, Pakistan - 3:20 am local time
My core expertise is:
1. AI / Machine Learning & Computer Vision
Object detection, segmentation, YOLO models
Image/video analysis and automation systems
Model integration into real applications
2. Backend Development
Django & Flask REST APIs
PostgreSQL database design
Secure and scalable backend architecture
3. Deployment & DevOps
Docker, AWS, and cloud deployment
CI/CD pipelines and server setup
Production-ready system optimization
4. Frontend & Full Product Development
React.js dashboards and web apps
End-to-end MVP development
API integration with frontend systems
Steps for completing your project
After purchasing the project, send requirements so Muzamil can start the project.
Delivery time starts when Muzamil receives requirements from you.
Muzamil works on your project following the steps below.
Revisions may occur after the delivery date.
AI-Based Smart Surveillance System for Human, Weapon with Real-Time Alerts
This project is an AI-powered smart surveillance system designed to automatically detect humans and suspicious activities in real time using camera feeds.