Intelligent CCTV with Real-Time Threat Detection
Budget: $30 – $250 USD
Project Title
AI-Powered Smart CCTV Surveillance & Real-Time Threat Detection System
Project Description
We are looking for an experienced AI/ML, Computer Vision, Mobile Application, and CCTV Surveillance System development team to build a comprehensive AI-powered surveillance and monitoring platform capable of detecting unusual activities, unauthorized persons, animals, suspicious objects, and security threats in real time.
The system will utilize CCTV camera feeds and Artificial Intelligence (AI) to continuously analyze video streams, identify potential threats, and trigger instant alerts and alarms whenever abnormal events are detected.
This is not just a Computer Vision project. We require a complete enterprise-grade solution consisting of:
• AI-powered CCTV surveillance system
• Centralized monitoring platform
• Web-based administration dashboard
• Android and iOS mobile applications
• Real-time alert and incident management system
• Multi-camera and multi-location monitoring infrastructure
The solution should be scalable and capable of handling multiple CCTV cameras deployed across different locations while being monitored by multiple security personnel and administrators from both web and mobile applications.
________________________________________
Project Overview
The proposed system should function as an advanced AI-powered surveillance platform that automatically monitors designated areas without requiring continuous human supervision.
The system must be capable of:
• Real-time video analysis from CCTV cameras
• Object detection and classification
• Facial recognition and unfamiliar face detection
• Animal detection
• Suspicious activity detection
• Intrusion detection
• Automatic alarm triggering
• Alert notifications to administrators and security personnel
• Multi-camera monitoring across multiple locations
• Centralized monitoring and management
• Mobile application-based surveillance and incident response
________________________________________
Core Features
1. Real-Time CCTV Monitoring
2. Human Detection & Tracking
3. Familiar & Unfamiliar Face Recognition
4. Animal Detection
5. Unexpected Object Detection
6. Abnormal Behavior Detection
7. Intrusion Detection
8. Smart Alarm System
9. Real-Time Notifications
10. Event Recording & Evidence Storage
11. Web-Based Admin Dashboard
12. AI Analytics & Reporting
13. Multi-Camera & Multi-Location Monitoring
14. Mobile Application Integration
15. Security Personnel Management
________________________________________
Advanced Features (Preferred)
AI Learning Capability
Multi-Camera Support
Night Vision Optimization
Edge AI Processing
License Plate Recognition (Optional)
GIS & Location Mapping (Optional)
________________________________________
Technical Requirements
Preferred Technologies:
• Python
• OpenCV
• YOLO (Latest Version)
• TensorFlow / PyTorch
• Deep Learning Models
• Face Recognition Frameworks
• FastAPI / Django / Flask
• React.js / Vue.js
• Android (Flutter or Native)
• MySQL
• Docker
• Cloud Deployment Support
• REST API Development
________________________________________
Deliverables
1. Complete Source Code
2. Trained AI Models
3. Web-Based Admin Dashboard
4. Android Mobile Application
5. iOS Mobile Application
6. Mobile Notification System
7. API Documentation
8. Installation & Deployment Guide
9. User Manual
10. Testing Documentation
11. Production-Ready Deployment
12. Database Design & Architecture Documentation
________________________________________
Goal
The objective is to create a highly accurate, enterprise-grade AI surveillance and monitoring platform that can monitor multiple cameras across multiple locations, detect unfamiliar faces, suspicious objects, abnormal behavior, animals, and security threats in real time, while instantly triggering alarms and sending notifications to security personnel through both web and mobile applications, ensuring proactive monitoring, rapid incident response, and enhanced security management.
Please provide:
• Relevant portfolio/projects
• Proposed technology stack
• Estimated timeline
• Development methodology
• Deployment approach
• Support and maintenance plan
• Total project cost
We are looking for developers or teams with proven experience in AI/ML, Computer Vision, Video Analytics, Mobile Application Development, CCTV Integration, and Enterprise Security Systems.
AI-Powered Smart CCTV Surveillance & Real-Time Threat Detection System
Project Description
We are looking for an experienced AI/ML, Computer Vision, Mobile Application, and CCTV Surveillance System development team to build a comprehensive AI-powered surveillance and monitoring platform capable of detecting unusual activities, unauthorized persons, animals, suspicious objects, and security threats in real time.
The system will utilize CCTV camera feeds and Artificial Intelligence (AI) to continuously analyze video streams, identify potential threats, and trigger instant alerts and alarms whenever abnormal events are detected.
This is not just a Computer Vision project. We require a complete enterprise-grade solution consisting of:
• AI-powered CCTV surveillance system
• Centralized monitoring platform
• Web-based administration dashboard
• Android and iOS mobile applications
• Real-time alert and incident management system
• Multi-camera and multi-location monitoring infrastructure
The solution should be scalable and capable of handling multiple CCTV cameras deployed across different locations while being monitored by multiple security personnel and administrators from both web and mobile applications.
________________________________________
Project Overview
The proposed system should function as an advanced AI-powered surveillance platform that automatically monitors designated areas without requiring continuous human supervision.
The system must be capable of:
• Real-time video analysis from CCTV cameras
• Object detection and classification
• Facial recognition and unfamiliar face detection
• Animal detection
• Suspicious activity detection
• Intrusion detection
• Automatic alarm triggering
• Alert notifications to administrators and security personnel
• Multi-camera monitoring across multiple locations
• Centralized monitoring and management
• Mobile application-based surveillance and incident response
________________________________________
Core Features
1. Real-Time CCTV Monitoring
2. Human Detection & Tracking
3. Familiar & Unfamiliar Face Recognition
4. Animal Detection
5. Unexpected Object Detection
6. Abnormal Behavior Detection
7. Intrusion Detection
8. Smart Alarm System
9. Real-Time Notifications
10. Event Recording & Evidence Storage
11. Web-Based Admin Dashboard
12. AI Analytics & Reporting
13. Multi-Camera & Multi-Location Monitoring
14. Mobile Application Integration
15. Security Personnel Management
________________________________________
Advanced Features (Preferred)
AI Learning Capability
Multi-Camera Support
Night Vision Optimization
Edge AI Processing
License Plate Recognition (Optional)
GIS & Location Mapping (Optional)
________________________________________
Technical Requirements
Preferred Technologies:
• Python
• OpenCV
• YOLO (Latest Version)
• TensorFlow / PyTorch
• Deep Learning Models
• Face Recognition Frameworks
• FastAPI / Django / Flask
• React.js / Vue.js
• Android (Flutter or Native)
• MySQL
• Docker
• Cloud Deployment Support
• REST API Development
________________________________________
Deliverables
1. Complete Source Code
2. Trained AI Models
3. Web-Based Admin Dashboard
4. Android Mobile Application
5. iOS Mobile Application
6. Mobile Notification System
7. API Documentation
8. Installation & Deployment Guide
9. User Manual
10. Testing Documentation
11. Production-Ready Deployment
12. Database Design & Architecture Documentation
________________________________________
Goal
The objective is to create a highly accurate, enterprise-grade AI surveillance and monitoring platform that can monitor multiple cameras across multiple locations, detect unfamiliar faces, suspicious objects, abnormal behavior, animals, and security threats in real time, while instantly triggering alarms and sending notifications to security personnel through both web and mobile applications, ensuring proactive monitoring, rapid incident response, and enhanced security management.
Please provide:
• Relevant portfolio/projects
• Proposed technology stack
• Estimated timeline
• Development methodology
• Deployment approach
• Support and maintenance plan
• Total project cost
We are looking for developers or teams with proven experience in AI/ML, Computer Vision, Video Analytics, Mobile Application Development, CCTV Integration, and Enterprise Security Systems.