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I will build yolo ai camera detection system with real time alerts
Koutarou W
About this gig
Are you looking to monitor and control personnel movement in real-time within your industrial or factory environment?
I will develop a computer vision-based Virtual Fence System that accurately detects and tracks human presence within predefined zones around machinery, helping you improve safety, efficiency, and workforce tracking.
What I Will Build for You
- Virtual fence (zone-based detection system)
- Real-time human detection using YOLO (You Only Look Once)
- ️ Time tracking of personnel inside machine zones
- Activity logging and analytics
- AI-based object detection and classification
- ️ Python-based backend system
- Real-time processing optimization
- Optional integration with existing factory systems
Perfect For
- Smart factories
- Industrial automation systems
- Manufacturing plants
- Warehouse monitoring
- Workplace safety systems
- AI surveillance solutions
Technologies Used
- Python
- YOLO (Object Detection Models)
- OpenCV
- Deep Learning / Computer Vision
- NumPy / Pandas
- Optional: TensorFlow / PyTorch
- Database integration (if required)
Lets Build It
Please contact me before placing an order so we can discuss your factory setup, camera system, and specific monitoring requirements.
Get to know Koutarou W
Koutarou W
Senior Full Stack Developer and AI Engineer
- FromJapan
- Member sinceApr 2021
- Avg. response time1 hour
- Last delivery1 year
Languages
English, Japanese, Portuguese, Spanish
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 handling everything from planning and architecture to development and deployment. My services include web applications, AI agents, process automation, image management systems, and voice AI solutions.
Committed to clean code, clear communication, and long-term project success.
My Portfolio
Other Software Development Services I Offer
FAQ
1. What is a Virtual Fence system?
A Virtual Fence system uses computer vision and AI to define invisible zones in a physical environment. It detects when a person enters or stays within a restricted area and tracks their movement in real-time.
2. What technology do you use for this system?
I use advanced computer vision technologies such as Python, YOLO (object detection models), OpenCV, and deep learning frameworks to build accurate and real-time detection systems.
3. Can the system track workers around machines in real-time?
Yes. The system is designed to detect human presence in predefined zones and track the time spent near specific machines or restricted areas in real-time.
4. Do I need special hardware for this system?
You will need a camera system (CCTV or IP cameras) to capture video input. The AI system processes this feed in real-time. I can also help you with hardware recommendations if needed.
5. Can this system be integrated into my existing factory setup?
Yes. The solution can be integrated with existing surveillance systems or factory monitoring systems depending on your infrastructure.
6. Is the system scalable for large factories or multiple zones?
Yes. The system is fully scalable and can monitor multiple zones, machines, or factory areas simultaneously with optimized performance.
7. Can I get alerts or reports from the system?
Yes. The system can be configured to generate logs, alerts, and reports based on time spent in zones, entry/exit events, or custom rules.
8. Do you provide source code?
Yes. You will receive the full Python source code along with setup instructions and documentation.
9. Can the system run in real-time?
Yes. The system is optimized for real-time processing depending on your hardware capabilities (CPU/GPU).
10. Should I contact you before ordering?
Yes. Please contact me first so we can discuss your factory layout, camera setup, and specific monitoring requirements to ensure the best solution.
