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I will build ai people counting and cctv analytics with yolo
AI Computer Vision Engineer
Hi, I’m Usman, an AI, Computer Vision, and Full Stack Engineer with 6+ years of experience. I build AI video analytics, object detection, tracking, OCR, and pose-estimation solutions, as well as custo...
À propos de ce service
Need an accurate AI people counting and CCTV analytics system for RTSP, webcam, IP camera, or recorded video?
I will develop a custom computer vision solution for people detection, object tracking, entry and exit counting, occupancy counting, and real-time video analytics using YOLO, OpenCV, Python, ByteTrack, or DeepSORT.
Your solution can include:
Entry and exit counting
Live occupancy monitoring
Line-crossing and zone analytics
Queue and foot-traffic analysis
Unique person tracking
CCTV, RTSP, webcam, or video processing
CSV, JSON, database, or API output
Alerts and dashboard-ready results
FastAPI, Flask, Docker, AWS, or edge deployment
I have 6+ years of computer vision experience and have completed $50K+ in freelance projects. You will receive tested source code, setup instructions, documentation, and professional communication.
Please contact me before ordering with a sample video, camera details, required analytics, target hardware, and expected output. Custom training, dashboards, and multi-camera systems require a custom offer.
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Mon portfolio
FAQ
Can you work with CCTV and RTSP camera streams?
Yes. I can build people-counting systems for CCTV, IP cameras, RTSP streams, webcams, recorded videos, and image sequences.
Can the system count entries and exits separately?
Yes. I can configure directional line-crossing logic to count people entering and leaving separately.
Can you calculate live occupancy?
Yes. The system can calculate current occupancy using entry and exit counts and provide the results through video overlays, CSV, JSON, APIs, or databases.
How do you avoid counting the same person multiple times?
I use object tracking methods such as ByteTrack or DeepSORT to assign unique tracking IDs and reduce duplicate counting.
Can you train a custom YOLO model?
Yes. Custom YOLO training and fine-tuning are available when you provide a suitable labeled dataset. Data annotation and preparation may require an additional cost.
Can you integrate the solution with my website or dashboard?
Yes. I can provide FastAPI or Flask API endpoints with structured JSON output for integration with websites, dashboards, mobile apps, or other systems.
Will I receive the source code?
Yes. Source code, setup instructions, and documentation are included according to the selected package.
Can you guarantee 100% accuracy?
No computer vision system can guarantee 100% accuracy in every environment. Performance depends on camera angle, lighting, crowd density, object visibility, video quality, and hardware. I will review your sample footage and provide a realistic assessment.
Can the system work with multiple cameras?
Yes. Multi-camera support is available through a custom offer because the scope depends on the number of cameras, processing requirements, and deployment environment.
Should I contact you before placing an order?
Yes. Please send a sample video, camera details, required analytics, expected output, target hardware, and deployment requirements before ordering.
