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I will develop ai cctv monitoring system with real time detection
Senior Full Stack Developer and AI Engineer
Senior Full-Stack Developer specializing in custom software, SaaS platforms, and AI-powered business automation.
I help startups and businesses transform ideas into scalable digital products by handl...
Sobre este Serviço
I develop professional AI computer vision systems for real-time video analysis, object detection, and automated alerting from CCTV or IP camera feeds.
These systems are designed for security, industrial monitoring, and operational automation where immediate detection and response are required.
Core Capabilities
- Real-time object detection (YOLO-based models)
- People detection and tracking
- Zone-based monitoring (virtual fence systems)
- Custom event detection (defined by your requirements)
- Multi-camera processing pipelines
Alert & Notification System
Detected events can trigger instant alerts via:
- Telegram
- LINE
- Custom API / dashboard logging
Typical Use Cases
- Factory and warehouse monitoring
- Security and surveillance systems
- Restricted area violation detection
- Safety compliance monitoring
- Smart infrastructure systems
Technologies
Python, YOLO, OpenCV, PyTorch, TensorFlow, FastAPI, Deep Learning frameworks
Delivery Approach
- Each system is fully customized based on:
- Camera setup
- Detection targets
- Alert rules
- Performance requirements
Important
Please contact me before ordering to confirm project scope and technical requirements.
Linguagem de programação:
Python
•
SQL
•
NoSQL
•
MLflow
•
Amazon SageMaker
Frameworks:
DeepPy
•
Google ML Kit
•
SimpleCV
•
PyTorch
•
Panda
Meu portfólio
Perguntas frequentes
1. What is an AI computer vision system?
An AI computer vision system analyzes live or recorded video streams to detect objects, people, or specific events in real time using deep learning models such as YOLO.
2. Can this system work with my existing CCTV cameras?
Yes, the system can integrate with most IP cameras and CCTV setups that provide video streams (RTSP or similar formats).
3. What type of detection can be implemented?
Custom object detection, people detection, zone-based monitoring (virtual fence), safety violation detection, and any AI-based video analysis based on your requirements.
4. Is real-time processing possible?
Yes, the system is optimized for real-time or near real-time video processing depending on hardware performance and camera setup.
5. Can I receive instant alerts when an event is detected?
Yes, alerts can be sent via WhatsApp, Telegram, LINE, email, or custom API integrations immediately after detection.
6. Do you provide custom YOLO model training?
Yes, I can train custom YOLO models based on your specific objects, environment, or detection requirements.
7. Can this system be used for industrial or security applications?
Yes, it is widely used for CCTV monitoring, factory automation, warehouse security, and safety compliance systems.
8. What technologies do you use?
Python, YOLO (v5/v8), OpenCV, PyTorch, TensorFlow, FastAPI, and other deep learning frameworks for computer vision systems.
9. Do I need special hardware?
A standard server or GPU-enabled system is recommended for optimal real-time performance, but I can also optimize for CPU-based setups if needed.
10. Should I contact you before placing an order?
Yes, please contact me first so I can analyze your requirements, camera setup, and detection goals to design the best solution.
