I will develop real time object detection with yolo


About this gig
Do you need a system that detects, tracks,
and analyzes objects in video in real time?
I build custom computer vision systems using
YOLOv8, OpenCV, TensorFlow, and MediaPipe,
trained on your data and deployed into your
existing infrastructure.
What I build:
- Real-time object detection with YOLOv8
- Custom model training on your dataset
- People counting and crowd analytics
- Vehicle and traffic monitoring
- Retail shelf and footfall analytics
- Manufacturing defect detection
- Multi-camera video analytics
- Alert systems for surveillance
What you get:
- Trained and tested detection model
- Real-time video processing pipeline
- Full source code and deployment guide
- REST API for system integration
- Post-delivery support included
10 plus years experience. Enterprise-grade
solutions, not just scripts.
Message me and I will reply within 1 hour.
Get to know Chirag A
FullStack Developer AI Chatbots and Automation Specialist
- FromIndia
- Member sinceMay 2021
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
Q: What data do I need for custom training?
A: Ideally 200 plus labeled images of the objects you want to detect. I can also help with data annotation as an add-on.
Q: Can it work with live CCTV or IP cameras?
A: Yes. I integrate with RTSP streams from any IP camera or CCTV system for real-time detection.
Q: How accurate will the detection be?
A: With a good labeled dataset, YOLOv8 typically achieves 85 to 95 percent accuracy. I share full evaluation metrics before delivery.
Q: Can you deploy on my server or edge device?
A: Yes. I deploy on AWS, GCP, local servers, Raspberry Pi, or NVIDIA Jetson depending on your needs.
Q: Do you provide the source code?
A: Yes. Full source code with detailed comments is included in all packages along with a deployment guide.

