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I will do computer vision for object tracking, ai cctv video analytics and surveillance
Computer Vision Engineer YOLO, Object Tracking, AI, and LIDAR Developer
Hello, I’m Bartholomaus, a Computer Vision, BIM Automation & Spatial Computing Developer with 5+ years of experience building production-ready engineering and vision solutions.
I develop custom Revi...
About this Gig
Get a production-focused computer vision solution built around your actual camera environment, detection targets, footage conditions, and business requirements.
With hands-on experience developing AI-powered computer vision, object detection, object tracking, video analytics, CCTV monitoring, IP camera processing, and machine learning solutions.
Whether your project uses live CCTV cameras, IP cameras, RTSP streams, recorded video, webcams, or custom datasets, the solution can be designed around YOLO, OpenCV, Python, deep learning, and modern computer vision frameworks.
What I Develop:
- YOLO Object Detection
- Real-Time Object Tracking
- AI CCTV Video Analytics
- CCTV Surveillance System
- People Detection and Counting
- Vehicle Detection and Tracking
- Multi-Object Tracking
- Entry and Exit Counting
- Line Crossing Detection
- Restricted Area Intrusion Detection
- IP Camera and RTSP Stream Integration
- Recorded Video Analysis
- Custom Object Detection Model Training
- Real-Time Alerts and Event Detection
- Analytics Dashboard and Detection Reports
TECH STACK: YOLOv8/v11, PyTorch, MediaPipe, OpenCV, FastAPI, Docker, WebSockets, RTSP, AWS/GCP.
Message me for a consultation before placing your order.
FAQ
1. What do you need from me to start?
Share your project objective, objects or activities you need detected, sample CCTV footage where possible, camera type or stream format, expected output, and intended deployment environment. For custom model training, provide information about your available dataset or image/video samples.
2. How long does a computer vision project take?
A basic YOLO detection or tracking setup can usually be completed within a few days. Custom model training, multi-camera CCTV analytics, dashboards, complex event detection, or production deployment may require additional development time. The scope can be reviewed before ordering.
3. Are revisions included?
Yes. Revisions are included according to the selected package and cover adjustments within the originally agreed requirements. Major functionality or scope changes can be handled through a custom order.
4. What tools and technologies are used?
Depending on the project requirements, the stack can include Python, YOLO, OpenCV, PyTorch, TensorFlow, DeepSORT, ByteTrack, RTSP, ONVIF, CUDA, GPU inference, machine learning, and deep learning technologies.
5. Can you create a custom order for my CCTV or computer vision project?
Yes. Custom orders are suitable for multi-camera surveillance, custom-trained object detection, advanced tracking, unusual detection classes, AI CCTV dashboards, API integration, cloud deployment, edge devices, or complete computer vision applications.
