I will build custom yolo object detection model for industrial safety monitoring
AI and Computer Vision Engineer, YOLO, Deep Learning, Python
About this Gig
One unsafe second in your facility can cost you everything.
I build custom YOLO object detection models for industrial safety monitoring that work in real-time not just in a notebook.
WHAT I DETECT FOR YOUR FACILITY:
- PPE violations (helmet, vest, gloves)
- Restricted zone intrusion alerts
- Worker fall detection via CCTV
- Fire and smoke early warning
- Unsafe behavior recognition
WHAT YOUR PROJECT INCLUDES:
- Custom YOLOv8 object detection model
- Trained on your own facility dataset
- Real-time CCTV and IP camera integration
- REST API for seamless system integration
- Safety alert system (email and SMS)
- Cloud deployment on AWS, GCP or Azure
- Clean Python code with documentation
- Post-delivery support included
PERFECT FOR:
- Manufacturing and industrial plants
- Construction site safety monitoring
- Healthcare patient fall prevention
- Warehouse and logistics automation
I deliver end-to-end computer vision solutions from dataset annotation and YOLO model training to cloud deployment and live safety monitoring system.
Message Me Before Ordering so I can review your dataset and confirm feasibility.
Domain:
Computer Vision
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Deep Learning
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Time Series Analysis
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Other
Programming language:
Python
Tools:
Jupyter Notebook
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OpenCV
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OpenNN
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TensorFlow
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CVAT
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Colab
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Other
Technology:
Python
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PyTorch
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OpenCV
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OpenNN
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scikit-learn
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Roboflow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of safety violations can your system detect?
The system can detect PPE violations (missing helmets, vests, gloves), unauthorized zone entry, worker falls, fire and smoke, unsafe equipment handling, and overcrowding. If you have a specific use case not listed, message me — I'll confirm feasibility before you order.
Do I need to provide a dataset or do you collect it?
If you have existing footage from your facility, I'll use that for training — this gives the highest accuracy for your specific environment. If you don't have data, I'll guide you on collection or use transfer learning with publicly available industrial datasets.
How accurate will the detection be in my facility?
Accuracy depends on camera quality, lighting conditions, and dataset size. I always deliver a full validation report with real mAP scores before final delivery. Typical accuracy ranges from 88–96% on good quality footage.
Can this work with our existing CCTV infrastructure?
Yes. I support RTSP streams, IP cameras, USB cameras, and NVR systems. No need to replace existing hardware in most cases. Share your camera specs and I'll confirm compatibility immediately.
Will I own the complete source code?
Full source code ownership transfers to you upon delivery. No licensing fees, no subscriptions, no hidden costs. Your system, your code, forever.
Can the system send real-time alerts to our team?
Yes. The Premium package includes email and SMS alerts triggered instantly when a safety violation is detected. Alert thresholds and contacts are fully customizable to your workflow.
Can you deploy the model?
Yes. Depending on the project, I can help deploy computer vision models to PCs, APIs, web applications, Jetson, Raspberry Pi, or other supported environments.
What do you need before starting?
Please send your project goal, dataset/sample images or videos, target objects, expected output, and target platform. I will review the requirements before recommending the best approach.

